# Ampcontrol - Python Developer\n\n## 🚀About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, building AI-powered software for optimizing electric vehicle (EV) charging.\n\nWe are a venture backed remote team of engineers and energy experts based in the U.S and Europe building the new way of EV charging. Our primary goals are to enable companies to provide higher capacity charging on existing infrastructure as well as optimization of fleet charging logistics.\n\n([link to website](https://www.ampcontrol.io/))\n\n## 🌎 Our Mission\n\nWe're on a mission to help the automotive industry transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## 💻 The Role\n\n- All levels of experience. The position will be accordingly\n- You'll be building and improving our python backend system, including the core optimization system and our customer facing APIs\n- Maintain and improve test environment\n- Develop our Python3/FastAPI service further, with an eye on performance and scalability\n- Work with data scientists to build a stable and powerful architecture for ML-applications for real-time optimization\n- Build, maintain, migrate databases and accommodate time-series data\n- Write clean and easily maintainable code for our optimization engine with a focus on reliability and scalability\n\n## ⭐ You have\n\n- Professional experience in python software development or QA engineering\n- Experience in at least one cloud computing platform\n- A good understanding of DevOps tools and methods, including end-to-end testing\n- Fluency in English for verbal and written communication is required\n- Motivated to work in the electric vehicles and sustainability industries\n- Experience with PostgreSQL and Redis preferred\n\n\n## 📍 Location\n\n**We're a remote team.** You can work from America, United States, Canada, Europe. \n\nPlease mention the word **FLUENT** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4yMg==). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $50,000 — $130,000/year\n \n\n#Location\nWorldwide

# About Komoot\nKomoot is an app that lets you find, plan, and share adventures. Driven by a desire to explore, and powered by the outdoor community’s recommendations, it’s Komoot’s mission to inspire great adventures making them accessible to all. And we’re good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times!\n\nToday, with over 23 million users and 100,000 five-star reviews, Komoot is well on its way to becoming the most popular cycling and hiking app for people who love adventures worldwide.\n\n**Join our fully remote team and change the way people explore!**\n\n\n**About the role**\nWe are now experiencing an accelerated growth and we're looking for an experienced Data Scientist dedicated to improving the product experience. As a young tech company, we know how user engagement can be boosted by personalisation, recommendations, user-segmentations and smart retention hooks. Using a wide range of different data sets, from common analytics/product data to unusual data sets like GPS recording and social relations, you will drive product enhancements forward that will directly impact 23 million users.\n\nWe believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot's success.\n\n**Ready for your next adventure?**\n\n\n**What you will do**\n- Work on a wide range of data science projects: Examples include improving the ranking and composition of our feed, bringing our follower recommendations to the next level and helping us keep users engaged.\n- Turn your ideas into data products ready for our production systems.\n- Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers).\n- Work with the Python Data Science Stack and a modern AWS infrastructure.\n- Identify how to best leverage our data to improve our platform.Discuss product improvements, technical possibilities and road maps.\n\n\n**Why you will love it**\n- You will deal with a diverse set of data (location data, social network, user content (images, text), external data sources like OSM, product analytics, ...).\n- You will go beyond prototyping and ship your code to production\n- You will contribute to a product with a vision to inspire more people to go outdoors.\n- You will work in a fast-paced startup with strongly motivated and talented co-workers.\n- You will enjoy the freedom to organize yourself the way you want .\n- We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, or anywhere else that lies in any time zone situated between UTC-1 and UTC+3.\n- You will travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides.\n\n\n**You will be successful in this position if you**\n- Have a passion for finding pragmatic and smart solutions to complex problems\n- Have a solid understanding of math and statistics\n- Have 3+ years of industry experience in data science\n- Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost\n- Bonus: TensorFlow, Keras or PyTorch\n- Know SQL\n- Love to write clean, maintainable and tested Python code\n- Have experience productionising your data science solutions\n- Have strong communication and team skills\n- Have a hands-on attitude and are highly self-driven\n- Bonus: Know statically typed languages such as Kotlin/Java/C or Go\n- Bonus: Have cloud experience (e.g. with AWS)\n- Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)\n\n\n**Curious to find out more about our recruitment process?**\n- Find out more info here: https://www.komoot.com/jobs-process\n- At komoot we want to make great adventures accessible to everyone. We support diversity and inclusivity within the outdoors and welcome all prospective applicants.\n- We have a rolling recruitment process. If this role is online it means it’s still open. We’re accepting applications and actively looking for the perfect candidate. Is it you?\n\n\n**Perks**\n- Dedicated time and budget to spend on classes, events, conferences, boot camps, or books for your curiosity and personal development, you decide!\n- Blinkist subscription and discounts with outdoor brands like Patagonia and Wahoo\n- Flexible working hours and locations\n- 3 all- expenses paid Company gatherings per year\n- The latest devices and equipment\n- And more! \n\nPlease mention the words **INFANT GENIUS SLIM** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4yMg==). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Location\nEurope, Africa

\nAre you insatiably curious? A lover of research, statistics, and programming? Do you enjoy a formidable business challenge? If so, then we share a lot in common and would love to get to know you better.\n\nWhat is Gradient Metrics?\n\nWe’re a new breed of market researchers and data scientists that apply statistical models to make difficult decisions easier. We create actionable intelligence from data of any kind. We investigate deeply and iteratively to solve problems, not symptoms. Above all else, we are never satisfied with the first layer of understanding.\n\nWe help a diverse array of clients from Series A startups to Fortune 100 companies precisely evaluate their marketing campaigns, calculate customer lifetime value, assess brand equity and experiment with new product design. And that’s just an appetizer.\n\nThere is no “standard” day at Gradient — we like to push the norm by exploring new methodologies and technologies. We can do this because we are lean, flexible, and efficient. This makes us a little different than our peers and we’re looking for someone with a healthy dose of curiosity, brilliance, and (a bit of) grit to join us. Head over to our website and our latest newsletters to find out more about who we are and what we do.\n\nWhat We're Looking for: Data Scientist\n\nWe are looking for a data scientist who is highly proficient in R (actually, lives and breaths R) and wants to be a part of a research team that helps clients make difficult decisions and automate our research capabilities.\n\nThis role consists of three primary domains:\n\n* Building, improving and maintaining our internal R infrastructure, which currently includes 10+ packages that are always under active development\n\n* Executing and interpreting data analyses (using the functions and packages that you’ve built yourself!) to advise our research managers\n\n* Includes (survey) data processing, tidying, reshaping and visualising\n\n\n\n\n* Developing and building new research models, grounded in statistical best practices, along with being able to explain them to members of our research team\n\n\n\nThe skill set for this role should include:\n\n\n* Analyzing (survey) data in R\n\n\n* Highly fluent in tidyverse: dplyr, tidyr, haven, purrr\n\n\n* Able to transform wide format into long format and vice versa\n\n* Able to join datasets together with the appropriate type of join\n\n* Able to group, filter and summarize data\n\n* Able to work with (nested) lists and the purrr function family\n\n* Able to work with strings and regex patterns\n\n\n\n\n\n* Able to work with metadata (e.g. column labels, data recoding)\n\n* Ability to judge data and respondent quality\n\n\n\n\n\n* R software development\n\n\n* Driving internal code development\n\n\n* Writing clean, properly formatted and commented code\n\n* Delivering code with tests and examples\n\n* Providing extensive documentation in the form of vignettes\n\n* Packaging code and automating checks with CI solutions\n\n\n\n\n\n* Experience with git\n\n* Constantly willing to learn and stay up to date with latest developments in R\n\n\n\n\n\n* Statistical inference:\n\n\n* Experience with the creation of classification, regression and clustering models\n\n* Experience with the GLM family (gaussian, poisson, binomial, survival, and ordinal models) as well as hierarchical models\n\n* Ability to explain and synthesize the results of statistical models to a non-statistician\n\n\n\n\n\n* Visualization:\n\n\n* Deep familiarity and expertise in the ggplot2 library\n\n* Able to produce visually appealing and effective plots\n\n\n\n\n\n\n\n\nNice to have:\n\n\n* Familiarity with designing and analyzing survey experiments, including but not limited to:\n\n\n* Discrete choice experiments (e.g., conjoint, MaxDiff)\n\n* Randomized control trials\n\n* Message and persuasion testing\n\n\n\n\n\n* Familiarity with survey design platforms (e.g., Qualtrics)\n\n* Experience in creating and working with APIs\n\n* Experience with AWS cloud computing provider\n\n\n\n\nEmployment conditions\n\nBased anywhere, working hours in EU or North American time zones (ET +- 6 hours).\n\n\n* Comfortable with permanent remote arrangement\n\n* Open to a 90 day trial period\n\n* Competitive salary, depending on location and experience\n\n* Flexible working hours\n\n* Lean SCRUM points system\n\n* Unlimited days off\n\n* Spoken and written language: English\n\n* Bi-annual live meet-up trips with the entire team\n\n\n* We’ve already visited New York, Paris and the Rocky Mountains! Maybe your home town can be next, if you can convince us of how awesome it is\n\n\n\n\n\n\n\n\nWhy we think we’re special\n\nGradient is a truly unique company, and we intend to keep it that way. We value both independence and collaboration — meaning you can do what you need to do to solve a problem, but you have all the tools and expertise at your disposal to get it done. You’ll be part of our growth and will help craft our legacy.\n\nYou’ll learn something new every single day by solving problems that rarely have a clear solution. And if you don’t know something, we’ll give you the resources you need to figure it out. We love books, classes, and workshops.We’ll take good care of you with a competitive salary, healthcare coverage, unlimited time off, and a flexible schedule that allows you to be a real person too. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Cloud, Marketing and Non Tech jobs that are similar:\n\n $67,500 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

Are you excited about building a team that’s laser focused on guiding customers (from the world’s largest brands to “mom-and-pop” sellers) in their most critical business decisions by leveraging one of the largest ecommerce data sets in the world? \n\nDo you get excited about building systems that process over 30 TB of raw data per day? \n\nAre you passionate about building cloud-native data systems that empower data scientists to build and deploy business critical machine learning models at scale?\n\nAmazing, then you’re the type of person we’re looking for!\n\nJungle Scout just raised $110M and we’re growing rapidly. We’re looking for a passionate engineering leader to join us during our most exciting phase of growth that will lead our Data Services group, focused on building cloud-native data systems that empower the entire engineering organization to build data-driven applications and predictive machine learning models.\n\nThis is a special opportunity and we’re looking for a special person. We move really fast and expect our leaders to not just keep up, but to set the pace. We do things differently. We have zero time for politics and look for the best ideas regardless of their source. We love the fact that each day is a little unpredictable and we revel in the ambiguity. We’re remote-first and committed to hiring the best talent anywhere in the world. We’re grateful to be working in a rapidly changing space and find joy in solving customer problems together as they arise.\n\n**In your first year you will:**\n\n* Drive vision and strategy for building Jungle Scout’s Data Infrastructure team and charter, which is at the foundation of Jungle Scout’s overall business strategy and competitive advantage\n* Build, manage, and lead data science teams that are solving Jungle Scout’s most complex business problems\n* Collaborate with data science teams and engineering leaders to build data systems that are at the foundation of Jungle Scout’s customer applications\n* Build a cloud-native Data Lake that makes critical data available to entire engineering organization through a variety of interfaces and technologies\n* Lead the business strategy and vision for widening Jungle Scout’s “data moat”, which delivers industry leading data analytics and automation for the world’s largest ecommerce retailers\n* Build an organization that provides thought leadership to ensure Jungle Scout is leading the industry with proprietary data sources and data insights, delivering unprecedented value for customers\n* Attract top talent and retain your managers and engineers through effective coaching and career growth\n\nInterested in learning more? Let’s get into the details:\n\n**What you’ll be doing:**\n\n* Cloud-native data architecture. Experience building scalable cloud based data systems that scale seamlessly to support the world’s largest brands.\n* Passion for complex data systems. Ability to build complex data systems that collect, integration, analyze, and aggregate data from many disparate sources.\n* Empower advanced data analytics. Self-starter with a passion for empowering applied mathematicians to build predictive models that leverage data to provide revolutionary insights for customers.\n * Experience with industry leading data technologies. Passionate about keeping on the cutting edge of the latest data technologies including stream data processing, Spark, Hive catalogs, and more.\n* Provide data leadership. Help define how we collect, process and expose the data we collect to both internal and external customers.\n* Lead and develop teams. Provide clear direction, define success and enable your managers, leads and individual contributors to do their best work. \n* Collaborate. Communicate and collaborate with other engineering leaders to improve the engineering organization. \n* Manage Relationships. Manage relationships and partnerships with our key data providers and work with external agencies to help increase the rate at which we collect, process and enable data.\n\n**Who you are:**\n\n* Operational excellence. Your core responsibility is operational excellence and oversight on the roadmaps for the teams you work with, empowering all of your team leads, and helping make faster decisions on staffing, budgeting, prioritization, personnel management, etc.\n* A multiplier. You're able to multiply your effectiveness by guiding and influencing your team leads to maximize their productivity and impact.\n* Collaborator and communicator. You excel at managing projects across different teams. You're able to prioritize and manage dependencies and expectations of multiple stakeholders effectively and efficiently.\n* An engineer at heart. Although you won’t be judged on your coding ability you will be regularly involved in system design conversations so a background in software development is required. \n* A visionary. We’re still just getting started so you have the opportunity to shape our data strategy as we continue to grow.\n\n**Working at Jungle Scout**\nhttps://www.junglescout.com/jobs/ \n* The BEST team. \n* Remote-first culture.\n* International Retreats.\n* Access to Jungle Scout tools & experts.\n* Performance Bonus. \n* Flexible Vacation.\n* Comprehensive Health Benefits & Retirement Program (US and Canada) \n\n**We prioritize Diversity, Equity, and Inclusion \n**\nAt Jungle Scout, we hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger. \n\nJungle Scout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\n*All offers of employment at Jungle Scout are contingent upon clear results of a comprehensive background check. Background checks will be conducted on all final candidates prior to start date.* \n\nPlease mention the words **CUPBOARD SCHEME MODIFY** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4yMg==). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $100,000 — $200,000/year\n \n\n#Location\nNorth America and South America

\n\n* Evaluierung und Betrieb von BigData-Komponenten (Wie z.B. Cassandra / Kafka) in einem Skalierbaren Umfeld (Kubernetes).\n\n* Evaluierung und Umsetzung von Datenreplikationskonzepten zur Entkopplung der Ressourcen zwischen Analyse und Produktion\n\n* Evaluierung und Umsetzung von übergreifenden Sicherheitskonzepten bezüglich des Datenzugriffs\n\n* Evaluierung und Integration von Tools im Data Science Umfeld (Spark, Flink, Jupyter usw.)\n\n* Koordinierung und Test der Umsetzung von Teamübergreifenden Anforderungen\n\n* Technische Umsetzung der Anforderungen in einem selbst-organisierten Team\n\n* Umsetzung von Frontends gemäß Vorgaben auf Grundlage des GEC UI Frameworks.\n\n* Agile Entwicklung und Dokumentation von erweiterbaren, modularen Software-Architektur\n\n* Schreiben von wartbarem Code\n\n* Mitarbeit an teamübergreifenden Framework-Komponenten\n\n* Aktive Teilnahme an Planungs- und Review-Meetings\n\n* Sicherstellen der Qualität durch Erstellung automatisierter Unit-, Integrations- und End-to-end-Tests\n\n* Bereitstellung eines Benutzerhandbuchs für andere Entwickler\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Developer, Digital Nomad, Cloud and Cassandra jobs that are similar:\n\n $70,000 — $130,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nBreakthrough is seeking a Data Science Engineer. This position will be part of the Technology Solutions team based in Green Bay, WI.  We are seeking an individual who is passionate about data science and machine learning exploration and solution building.\nThis role will work closely with our engineering team to identify solutions, rapidly prototype and build enterprise solutions that integrate with our product platform.  The ideal candidate will be intricately involved in running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches.  This is the perfect opportunity to become a part of an innovative and energetic team that develops analysis tools which will influence both our products and our clients.\nPrimary Responsibilities:\n* Build machine learning models to make accurate predictions about the future based on past data.  Pursue ideas and experiment to find interesting patterns and trends in the data that add value and create new business insights.\n* Design, build and test hypothesis with algorithms and machine learning methods.  \n* Design requirement driven data models to support the enterprise product development and leverage a proprietary data lake structure.\n* Acquire, analyze, combine, synthesize and store data from a wide range of internal and external sources.\n* Bring a solid understanding of supervised and unsupervised machine learning methods.\n* Strong understanding of statistics and the ability to critically evaluate statistical models.\n* Communicate complex data analysis results clearly and understandably to business leaders and peers.\n\n\nWhat qualities are we looking for?\n* An individual who is passionate about data science with an inquisitive nature and drive to seek answers through data.\n* An individual who strives for excellence with a laser focus on team communication and facilitation of ideas.\n* An individual with a proactive attitude who works well in a fast-paced team environment.\n* An individual who communicates and collaborates well with IT and business teams.\n* A critical thinker with good problem-solving skills and an ability to multi-task.\n* Strong communication skills to express oneself clearly both verbally and in writing. Persistent, active listening skills.\n* Demonstrated leadership skills with a willingness to readily and voluntarily take ownership of project issues.\n* An individual that can work both at the strategic level and at the tactical level, holding others accountable while building team rapport and engagement.\n* Ability to develop and maintain positive working relationships throughout the organization.\n\n\nQualifications and Skills:\n* Degree in Computer Science or equivalent quantitative field and 5+ years of experience in a similar Data Science role.\n* Proven experience with R, Python, SQL, TensorFlow, Jupyter and ML Methods (e.g. Random Forests, Neural Nets).\n* Deep understanding of distributed data management systems and related applications\n* Mastery of data lake design and implementation considerations such as columnar storage formats and partitioning.\n* Experience working with and extracting value from large, disconnected and/or unstructured datasets.\n* Demonstrated ability to build processes that support data transformation, data structures, metadata, dependency and workload management.\n* Experience building and optimizing 'big data' data pipelines, architectures and data sets.\n* Experience with modern CI/CD pipeline technologies involving git repositories, static code analysis, test-driven development etc.\n* Automated analysis optimizations based on performance metrics.\n* Experience with GCP technologies or related Cloud technology experience.\n* Experience with analytics tools such as Apache Beam, Spark, JupyterLab, etc. \n* Experience with modern infrastructure as code technologies like Docker, Kubernetes, Terrraform, and Airflow.\n* Excellent teamwork, coordination, influencing and communication skills.\n\n\nABOUT BREAKTHROUGH:Breakthrough is the expert in managing the energy and information that fuels the movement of goods globally. We use our patented technology and industry knowledge to create transportation energy and supply chain management strategies for the world's leading shippers. We remove the waste associated with distorted supply chain practices and reveal data-driven insights to give our clients a competitive advantage in their supply chains.\nWHY WORK AT BREAKTHROUGH? See our SMART, PASSIONATE, and EDGY team in action: https://www.breakthroughfuel.com/careers/ \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Engineer, Cloud, Git and Apache jobs that are similar:\n\n $80,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

**Remote (Europe) | Full- time & Permanent role | Outdoor navigation app | 15+M users | 70 employees + 40 freelances | squad structure**\n\n**Senior Backend Developer/ Data Scientist @ komoot (Kotlin/Java/Scala) & Python**\n@ komoot We are building the best outdoor navigation planner and the biggest outdoor community and simply inspire people to explore more of the outdoors.\n\n**15million users | 100k 5* reviews**\n\nWe are now searching for a** Senior Backend Engineer/ Data Scientist** who would like to take their skills to the next level, love to find simple and smart solutions to complex problems and focuses on delivering impact.\n\n Komoot possesses a unique dataset of **user-generated content, ranging from GPS data from tours, uploaded photos, and tips, to implicit and explicit user feedback**. To get the biggest value from this raw data, we need your excellent software and analytical skills. \n The challenges include automatic evaluation and classification of our user-generated content as well as innovative approaches to assembling them into consumable inspiration for users (e.g. auto-generated tour suggestions tailored to users’ sport and location). \n You’ll wrap up your algorithms into clean and scalable microservices in our modern cloud environment. \n We believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success\n\n**What you will do**\n* Work closely with our data scientists, web and mobile developers, designers, copywriters and product managers\n* Discuss product improvements, technical possibilities and road maps\n* Investigate and evaluate data science approaches for product enhancements (you can count on the support of experienced data scientists)\n* Turn prototypes into resilient and scalable REST APIs and background workers\n* Deploy and monitor your code in our AWS Cloud\n\n**You will be successful in this position if you**\n* Have a passion for finding pragmatic and smart solutions to complex problems\n* Have 3+ years of professional experience in backend development in the cloud\n* Have 2+ years of professional experience in Kotlin/Java/Scala\n* Have 2+ years of professional experience in Python\n* Know SQL and NoSQL\n* Have a solid understanding of math and statistics\n* Have a solid understanding of data science fundamentals\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn\n* Bonus: BigData experience (Spark, Presto, Hadoop)\n* Bonus: Infrastructure as Code\n* Bonus: Deployment, CI and monitoring\n* Have strong communication and team skills\n* Have a hands-on attitude and are highly self-driven\n\nFor more information you can click the apply link which will direct you to our website.\nTo find out more about how we recruit people/ salary etc you can follow this link: https://www.komoot.com/jobs-process\n \n\nPlease mention the words **TWENTY HAVE PLACE** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4yMg==). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Location\nEurope

\nThis role is contract to hire. \n\nBlue Orange Digital is looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\nYour primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment. Major technologies involved include AWS, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.\n\nCore Responsibilities & Skills\n\n\n* Architecting, building and maintaining modern, scalable data architectures on AWS\n\n* Solving problems using Machine Learning and delivering ML solutions all the way to production\n\n* Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi\n\n* Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.\n\n* Demonstrable experience in one or more of the following specializations: NLP, pattern detection, anomaly detection, predictive modeling, and optimization\n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms\n\n* Experience in Amazon AWS, DevOps and Automation\n\n* Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, DevOps, Amazon, Cloud, Python and Engineer jobs that are similar:\n\n $75,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times and, with more than 12 million users and 100,000 five-star reviews, komoot is on its way to becoming one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore!\n\nTo help us grow, we’re looking for an experienced data scientist dedicated to improving our product experience. As a young tech company, we know how user engagement can be boosted by personalisation, recommendations, user-segmentations and smart retention hooks. Using a wide range of different data sets, from common analytics/product data to unusual data sets like GPS recording and social relations, you will drive product enhancements forward that will directly impact 12 million users.\n\nWe believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\nWhat you will do\n\n\n* Work closely with our backend, web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements\n\n* Turn prototypes into production systems by writing clean and maintainable code\n\n* Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers)\n\n\n\n\nWhy you will love it\n\n\n* You will be challenged with a wide range of data science tasks (e.g. optimise ranking/composition of a feed, recommend users to follow, churn prediction, personalisation, ...)\n\n* You will deal with a diverse set of data (location data, social network, user content (images, text), external data source like OSM, product analytics, ...)\n\n* You will go beyond prototyping and ship your code to production\n\n* You will contribute to a product with a vision to inspire more people to go outdoors\n\n* You will work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You will enjoy the freedom to organize yourself the way you want \n\n* We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, our HQ in Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You will travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\nYou will be successful in this position if you\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have a solid understanding of math and statistics\n\n* Have 3+ years of industry experience in data science\n\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost\n\n* Bonus: TensorFlow, Keras or PyTorch\n\n* Know SQL\n\n* Love to write clean, maintainable and tested Python code\n\n* Have experience productionising your data science solutions\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n* Bonus: Know statically typed languages such as Kotlin/Java/C or Go\n\n* Bonus: Have cloud experience (e.g. with AWS)\n\n* Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)\n\n\n\n\nSounds like you?\n\nThen send us the following:\n\n\n* Your CV in English highlighting your most relevant experience\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, English, Cloud, Math, Python, Travel, Mobile, Backend and Non Tech jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times – and, with more than 12 million users and 100,000 five-star reviews – komoot is on its way to become one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore! To help us continue to grow, we ‘re looking for an experienced backend developer with knowledge in data science. Komoot possesses a unique dataset of user-generated content, ranging from GPS data from tours, uploaded photos, and tips, to implicit and explicit user feedback. To get the biggest value from this raw data, we need your excellent software and analytical skills. The challenges include automatic evaluation and classification of our user-generated content as well as innovative approaches to assembling them into consumable inspiration for users (e.g. auto-generated tour suggestions tailored to users’ sport and location). You’ll wrap up your algorithms into clean and scalable microservices in our modern cloud environment. We believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\n\n\n\n\n\nYour key responsibilities\n\n\n\n* You’ll be challenged with a wide range of tasks for which there are no standard solutions\n\n* You’ll have full ownership: from concept, prototypes, and building, to deploying and monitoring\n\n* You’ll deal with diverse datasets (location data, social network, user content (images, text), external data sources like OSM, product analytics, ...)\n\n* You’ll contribute to a product with a vision to inspire more people to go outdoors\n\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You’ll enjoy the freedom to organize yourself the way you want\n\n* We let you work from wherever you want, be it a beach, the mountains, your house, a coworking center of your choice, our HQ in Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\n\n\n\nWhy you will love it\n\n\n\n* Work closely with our data scientists, web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements (you can count on the support of experienced data scientists)\n\n* Turn prototypes into resilient and scalable REST APIs and background workers\n\n* Deploy and monitor your code in our AWS Cloud\n\n\n\n\n\n\n\nYou will be successful in this position if you\n\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have 3+ years of professional experience in backend development in the cloud\n\n* Have 2+ years of professional experience in Kotlin/Java/Scala\n\n* Have 2+ years of professional experience in Python\n\n* Know SQL and NoSQL\n\n* Have a solid understanding of math and statistics\n\n* Have a solid understanding of data science fundamentals\n\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn\n\n* Bonus: BigData experience (Spark, Presto, Hadoop)\n\n* Bonus: Infrastructure as Code\n\n* Bonus: Deployment, CI and monitoring\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n\n\n\n\n\n\nSounds like you?\n\n\nSend us the following\n\n\n* Your CV in English highlighting your most relevant experience\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Backend, Developer, Digital Nomad, English, Cloud, Math, Travel and Mobile jobs that are similar:\n\n $67,500 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nThis role is contract to hire. \n\nBlue Orange Digital is looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\nYour primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment. Major technologies involved include AWS, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.\n\nCore Responsibilities & Skills\n\n\n* Architecting, building and maintaining modern, scalable data architectures on AWS\n\n* Solving problems using Machine Learning and delivering ML solutions all the way to production\n\n* Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi\n\n* Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.\n\n* Demonstrable experience in one or more of the following specializations: NLP, pattern detection, anomaly detection, predictive modeling, and optimization\n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms\n\n* Experience in Amazon AWS, DevOps and Automation\n\n* Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, DevOps, Amazon, Cloud, Python and Engineer jobs that are similar:\n\n $75,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times and, with more than 12 million users and 100,000 five-star reviews, komoot is on its way to becoming one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore!\n\nTo help us grow, we’re looking for an experienced data scientist dedicated to improving our product experience. As a young tech company, we know how user engagement can be boosted by personalisation, recommendations, user-segmentations and smart retention hooks. Using a wide range of different data sets, from common analytics/product data to unusual data sets like GPS recording and social relations, you will drive product enhancements forward that will directly impact 12 million users.\n\nWe believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\nWhat you will do\n\n\n* Work closely with our backend, web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements\n\n* Turn prototypes into production systems by writing clean and maintainable code\n\n* Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers)\n\n\n\n\nWhy you will love it\n\n\n* You will be challenged with a wide range of data science tasks (e.g. optimise ranking/composition of a feed, recommend users to follow, churn prediction, personalisation, ...)\n\n* You will deal with a diverse set of data (location data, social network, user content (images, text), external data source like OSM, product analytics, ...)\n\n* You will go beyond prototyping and ship your code to production\n\n* You will contribute to a product with a vision to inspire more people to go outdoors\n\n* You will work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You will enjoy the freedom to organize yourself the way you want \n\n* We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, our HQ in Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You will travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\nYou will be successful in this position if you\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have a solid understanding of math and statistics\n\n* Have 3+ years of industry experience in data science\n\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost\n\n* Bonus: TensorFlow, Keras or PyTorch\n\n* Know SQL\n\n* Love to write clean, maintainable and tested Python code\n\n* Have experience productionising your data science solutions\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n* Bonus: Know statically typed languages such as Kotlin/Java/C or Go\n\n* Bonus: Have cloud experience (e.g. with AWS)\n\n* Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)\n\n\n\n\nSounds like you?\n\nThen send us the following:\n\n\n* Your CV in English highlighting your most relevant experience\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, English, Cloud, Math, Python, Travel, Mobile, Backend and Non Tech jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nSemanticBits is looking for a Data Scientist eager to use advanced analytical and data transformation techniques as a means to develop practical tools and analyses that can help solve complex business problems; transforming volumes of data into actionable information. This position is open to a mid-level to principal professional depending on experience.\n\n\nResponsibilities:\n\n\n* Strong grasp of statistics, programming, and modeling techniques (machine learning, classification, cluster analysis, data mining, databases, and visualization)\n\n* Solid experience with Python and/or R and common data science packages - e.g. pandas, scikit-learn, matplotlib, ggplot, plyr, etc.\n\n* Dataset parsing, dataset merging, dataset analysis, dataset synthesis\n\n* Familiarity with controlled vocabularies (e.g. UMLS, SNOMED, etc.)\n\n* Strong knowledge of databases (relational, OLAP, and NoSQL)\n\n* Experience with Medicare claims is highly desirable\n\n* Experience with the following technologies is also highly desirable: Jupyter, Apache Superset, Spark, Hadoop, Tableau, Looker, Dremio, AWS cloud computing\n\n* Experience in the healthcare domain, or with quality data sets is highly desirable\n\n* Strong technical communication skills; both written and verbalAbility to understand and articulate the “big picture” and simplify complex ideas\n\n* Strong problem solving and structuring skills\n\n* Ability to identify and learn applicable new techniques independently as needed\n\n\n\n\nRequirements:\n\n\n* Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or a related field and a minimum of four years of relevant experience or a Master’s degree with a minimum of two years experience\n\n* Candidate must reside in the United States\n\n* Flexible and willing to accept a change in priorities as necessary\n\n\n\n\nNice to have:\n\n\n* Experience working in the healthcare industry\n\n* Federal Government contracting work experience\n\n* Prior experience working remotely full-time\n\n\n\n\nPhysical and emotional requirements for the job:\n\n\n* This position is to be performed remotely from an individual’s home office and involves sedentary work. Employees in this role can be expected to exert up to 10 pounds of force on occasion in order to lift, carry, push, pull or otherwise move standard electronic equipment. Employees are expected to make decisions in a timely manner and display emotional intelligence during occasional stressful situations. \n\n\n\n\n\nBenefits\nCompetitive base salary\nThree weeks of PTO\nTen paid holiday days\nComprehensive health benefits (medical with HSA option, dental, and vision)\n401k retirement plan with matching benefit\n100% paid short-term and long-term disability\n100% paid life insurance\nFlexible Spending Accounts (FSA)\nCasual working environment\nFlexible working hours\n\nSemanticBits, LLC is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law. We are also a veteran-friendly employer.\n\nIf you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact 703-787-9656 x257 or [email protected] for assistance. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Cloud, Python and Apache jobs that are similar:\n\n $80,000 — $122,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store. \n\nTo help us continue to grow, we are looking for an experienced data scientist dedicated to coding and building production-ready services.\n\nWith over 9 million active users, komoot possesses a unique dataset of user-generated content, ranging from GPS data from tours, uploaded photos, and tips, to implicit and explicit user feedback. Using this data as well as various open data sources, you will drive product enhancements forward that will directly impact the user experience. We believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\nYour key responsibilities\n\n\n* Work closely with our web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements\n\n* Write code that is well structured, well tested and documented\n\n* Enhance existing components and APIs as well as write new services from scratch\n\n* Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers)\n\n\n\n\nWhy you will love it\n\n\n* You will be challenged in a wide range of data science tasks\n\n* You deal with a diverse set of data (user-generated content, analytics data and external data sources)\n\n* You go beyond prototyping and ship your code to production\n\n* You contribute to a product with a vision to inspire more people to go outdoors\n\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You’ll enjoy the freedom to organize yourself the way you want\n\n* We let you work from wherever you want, be it a beach, the mountains, your house or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\nYou will be successful in this position if you\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have 3+ years of industry experience in data science\n\n* Have 2+ years of experience in professional programming, preferable in Python or Java\n\n* Experience in technologies like pandas, numpy, Jupyter Notebooks, seaborn, scikit-learn, PyTorch and TensorFlow\n\n* Know your toolkit: git, ssh, bash and docker.\n\n* Experience in AWS, infrastructure as code and monitoring is a plus\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n\n\n\nSounds like you?\n\nSend us the following:\n\n\n* Your CV in English\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Engineer, Backend, Cloud, Python, Travel and Mobile jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nThis role is contract to hire. \n\nBlue Orange Digital is looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\nYour primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment. Major technologies involved include AWS, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.\n\nCore Responsibilities & Skills\n\n\n* Architecting, building and maintaining modern, scalable data architectures on AWS\n\n* Solving problems using Machine Learning and delivering ML solutions all the way to production\n\n* Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi\n\n* Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.\n\n* Demonstrable experience in one or more of the following specializations: NLP, pattern detection, anomaly detection, predictive modeling, and optimization\n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms\n\n* Experience in Amazon AWS, DevOps and Automation\n\n* Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, DevOps, Amazon, Cloud, Python and Engineer jobs that are similar:\n\n $75,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nHere at Crisp, we value the strength in teamwork, and strongly believe that it’s the key to Crisp’s success. By bringing together bright, motivated creators, wherever they live and work, we are leveraging humanity’s diversity of experience and background in order to understand the challenges facing our food supply, and solve them together. Come join us, and help build the type of business you’d like to be a part of.\n\nWe are a socially conscious, distributed team. We give you the opportunity to solve challenges in the global food industry while living where you’re most comfortable and working in areas where you can help foster and grow the community that you are a part of.\n\nAs one of the first members of the data science team at Crisp you have will have a unique opportunity to turn previously scattered and inconsistently structured data into immediately actionable food industry insights to reduce waste, increase freshness and much more.\n\nYou have a proven track record of reading data and making solid conclusions. You know both the art and science of analytics - not only do you know how to find answers in the data, you also know which questions should be asked in the first place and what data can help us further bolster our conclusions. You love engaging with customers, learning about their challenges and then diving into the data to see how to solve them!\n\nSigns of a great candidate\n\n\n* Collaborative. You know that your colleagues’ perspectives will make our customers successful. Similarly, you use your strengths to help us grow together. You propose ways for us to be more engaged and successful with our customers.\n\n* Customer focused. Our customers are at the forefront of your day.  You prioritize our customers’ voice to ensure their needs are met. \n\n* Ambitious, curious, and resourceful. You are innately curious, and you aren’t afraid to work hard. You are self driven, you take direction well but are able to be creative to find results on your own when asked. You are driven to succeed because your hard work and results make you proud.\n\n* Disciplined and reliable.  We are a distributed company and you enjoy the benefits of working distributed while consistently delivering what you have committed to. When you hit a snag, you communicate and reset expectations early.\n\n* Appreciative of honest feedback.  You know that the best way to learn and grow is through constructive feedback delivered kindly. You view feedback given to you as an opportunity to get better and strive to do the same for others.\n\n* Work smarter and harder. You often identify a problem, create a solution and bring it to a state of completion - with others, or even on your own.  You find ways of eliminating or automating stuff that is uninteresting or wasteful.\n\n\n\n\nCrisp’s Data Science Tech Stack\n\n\n* Modern libraries and frameworks.  We use Python with Pandas and Numpy for data science in production.  We use technologies like Jupyter and R during EDA.\n\n* Diverse technologies and algorithms, solving real world problems.  At Crisp you’ll work with a wide range of technologies and algorithms on a daily basis, in a focused effort to solve large scale problems.\n\n* Continuous deployment. Code is never far from being deployed to production, because if it’s not in production, it’s not solving problems in the real world. Our branch time spans are short, and features under development are hidden behind feature flags.\n\n* Cloud first. As a services offering in the 21st century, the cloud isn’t the future, it’s the present. We’re fully invested in using the features offered by our cloud provider in order to minimize technical debt and maximize productivity.\n\n* Micro-services. Not for the sake of the buzz, but when they make sense. By adopting a modern, thoughtful services architecture we’re able to scale organizationally, reduce technical debt, and maintain a high, sustained velocity.\n\n* Start-up mode.  The team is still small, and the product is fresh.  You’ll be able to exert a large amount of influence, and contribute to decisions that will determine the future of the product and the team.\n\n\n\n\nWe are building a team of developers with a breadth of combined experiences so that we can collaboratively build great products. There are no hard requirements on specific background, experience or geographical location. Instead we’re looking for individuals that are capable, reliable, and hoping to grow along with us. Do you have strengths you can share? If so, we’d love to hear from you! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Cloud and Python jobs that are similar:\n\n $80,000 — $125,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nIn the Senior Data Scientist role, you will have full ownership over the projects you tackle, contribute to solving a wide range of machine learning applications, and find opportunities where data can improve our platform and company. We are looking for an experienced and creative self-starter who executes well and can exhibit exceptional technical know-how and strong business sense to join our team. \n\n\nWHAT YOU'LL DO:\n\n\n* Mine and analyze data from company data stores to drive optimization and improvement of product development, marketing techniques and business strategies\n\n* Assess the effectiveness and accuracy of data sources and data gathering techniques\n\n* Develop and implement data cleansing and processing to evaluate and optimize data quality\n\n* Develop custom data models and algorithms to apply to data sets\n\n* Run complex SQL queries and existing automations to correlate disparate data to identify questions and pull critical information\n\n* Apply statistical analysis and machine learning to uncover new insights and predictive models for our clients\n\n* Develop company A/B testing framework and test model quality\n\n* Collaborate with data engineering and ETL teams to deploy models / algorithms in production environment for operations use\n\n* Develop processes and tools to monitor and analyze model performance and data accuracy\n\n* Ad-hoc analysis and present results in a clear manner\n\n* Create visualizations and storytelling\n\n* Communicate Statistical Analysis and Machine Learning Models to Executives and Clients\n\n* Create and manage APIs\n\n\n\n\nWHO YOU ARE:\n\n\n* 3-5+ years of relevant work experience\n\n* Extensive knowledge of Python and R\n\n* Clear understanding of various analytical functions (median, rank, etc.) and how to use them on data sets\n\n* Expertise in mathematics, statistics, correlation, data mining and predictive analysis\n\n* Experience with deep statistical insights and machine learning ( Bayesian, clustering, etc.)\n\n* Familiarity with AWS Cloud Computing including: EC2, S3, EMR.\n\n* Familiarity with Geospatial Analysis/GIS\n\n* Other experience with programming languages such as Java, Scala and/or C#\n\n* Proficiency using query languages such as SQL, Hive, and Presto\n\n* Familiarity with BDE (Spark/pyspark, MapReduce, or Hadoop)\n\n* Familiarity with software development tools and platforms (Git, Linux, etc.)\n\n* Proven ability to drive business results with data-based insights\n\n* Self-initiative and an entrepreneurial mindset\n\n* Strong communication skills\n\n* Passion for data\n\n\n\n\nWHAT WE OFFER:\n\n\n* Competitive Salary\n\n* Medical, Dental and Vision\n\n* 15 Days of PTO (Paid Time Off)\n\n* Lunch provided 2x a week \n\n* Snacks, snacks, snacks!\n\n* Casual dress code\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Cloud, Python, Scala, Marketing and Non Tech jobs that are similar:\n\n $70,000 — $125,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nHere at Crisp, we value the strength in teamwork, and strongly believe that it’s the key to Crisp’s success. By bringing together bright, motivated creators, wherever they live and work, we are leveraging humanity’s diversity of experience and background in order to understand the challenges facing our food supply, and solve them together. Come join us, and help build the type of business you’d like to be a part of.\n\nWe are a remote-first company which means we give you the opportunity to solve challenges in the global food industry while living and working wherever you are most comfortable. We believe in transparency, diversity, merit and fostering a culture of empowerment, personal impact and career growth.\n\nAs a member of the first product engineering team at Crisp you have will have a unique opportunity to turn previously scattered and inconsistently structured data into directly actionable food industry insights to reduce waste, increase freshness and much more.\n\nYou have a proven track record of reading data and making solid conclusions. You know both the art and science of analytics - not only do you know how to find answers in the data, you also know which questions should be asked in the first place and what data can help us further bolster our conclusions. You love engaging with customers, learning about their challenges and then diving into the data to see how to solve them!\n\nSigns of a great candidate\n\n\n* Collaborative. You know that your team members’ perspectives will make your solutions better. Similarly, you use your strengths to help us grow together.\n\n* Customer focused. User experience trumps everything. You understand that a product will have little value if customers don't enjoy using it.\n\n* Disciplined and reliable. We are a remote company and you enjoy the benefits of working remotely while consistently delivering what you have committed to. When you hit a snag, you communicate and reset expectations early.\n\n* Appreciative of honest feedback. You know that the best way to learn and grow is through constructive feedback delivered kindly, but without unnecessary ambiguity. You view feedback given to you as an opportunity to get better and strive to do the same for others.\n\n* Work smarter and harder. You often identify a problem, design a solution and bring it to a state of completion - with others, or even on your own. You are fluent with your toolchain and can deliver well-designed, well-tested production-ready features quickly. You find ways of eliminating or automating stuff that is uninteresting or wasteful, rather than complaining about them.\n\n* Analytical and practical mind. You strive for simple, precise solutions to complex problems. Complex solutions are only acceptable when absolutely needed. You strive for correct solutions, but know what actually matters and when to make compromises. You know when to ship and when to optimize.\n\n\n\n\nCrisp’s tech stack\n\n\n* Statically typed, modern languages. We use TypeScript and Kotlin, but knowledge of them is not a requirement and we’re happy to help you come up to speed.\n\n* Continuous deployment. Code is never far from being deployed to production, because if it’s not in production, it’s not solving problems in the real world. Our branch time spans are short, and features under development are hidden behind feature flags.\n\n* JVM based back-end. The JVM has a robust, rich ecosystem of libraries and tools that we’re leveraging to help us focus on building solutions, not tool-chains.\n\n* Cloud first. As a services offering in the 21st century, the cloud isn’t the future, it’s the present. We’re fully invested in using the features offered by our cloud provider in order to minimize technical debt and maximize productivity.\n\n* Micro-services. Not for the sake of the buzz, but when they make sense. By adopting a modern, thoughtful services architecture we’re able to scale organizationally, reduce technical debt, and maintain a high, sustained velocity.\n\n\n\n\nWe are building a team of developers with a breadth of combined experiences so that we can collaboratively build great products. There are no hard requirements on specific background, experience or geographical location. Instead we’re looking for individuals that are capable, reliable, and hoping to grow along with us. Do you have strengths you can share? If so, we’d love to hear from you! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science and Cloud jobs that are similar:\n\n $75,000 — $122,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nOverview\n\nOur rapidly scaling medical education technology company is seeking a passionate Data Analyst to join our team. In this role, you will be working with the product, marketing, content, and operations teams to help us build the most joyful, effective learning platform in the medical education space.\n\nThis is a hands-on position in a unique remote, start-up environment, so we are looking for a candidate who is not afraid to roll up their sleeves to do the work and to collaborate with team members across the organization.\n\nAbout Osmosis\n\nOur mission is to “Empower the world’s clinicians & caregivers with the best learning experience possible.” To this end, we have an audience of more than a million current & future clinicians as well as patients and family members. Our members of the Osmosis learning platform and video library  use the product to learn efficiently & excel in classes, board exams, and in the clinic. \n\nWe are a team of creative, approachable, and driven entrepreneurs, researchers, and clinicians who are passionate about improving healthcare and education. At Osmosis, we collaborate remotely and value highly-motivated problem solvers who manage their time efficiently, communicate earnestly, work effectively, and understand the importance of life-work balance.  We do everything we can to make sure our teammates are successful personally and professionally.\n\nAbout the Role\n\nAs a Data Analyst, you will turn data into information, information into insight and insight into business decisions. You’ll develop analysis and reporting capabilities as well as monitor performance and quality control plans to identify improvements. Your primary responsibility will be to work with stakeholders across business functions including product, growth, marketing, and operations to build analytics products that enable data-driven decision making. You will guide analytics projects from discovery to solution and help us raise the bar for how we should apply our data to business decisions. In this role, you will be expected to: \n\n\n* Complete analysis projects with business stakeholders to monitor the health of the business and help the business make data-driven strategic, product, and operational decisions\n\n* Develop and own business intelligence dashboards, visualizations, and reports to provide ongoing tracking and insights to the team\n\n* Build and improve advanced analytical models for product and business use cases\n\n* Collaborate with data engineer to improve data architecture and maintain a robust and accurate data warehouse\n\n* Acquire data from primary or secondary data sources and maintain databases/data systems\n\n* Identify, analyze, and interpret trends or patterns in complex data sets\n\n* Discover ways to use analytics to support team members across the business to yield action through data-driven decision making\n\n\n\n\nQualifications\n\n\n* 2-4 years experience managing data analysis projects. eCommerce or SaaS experience is a plus.\n\n* Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.\n\n* Excel at composing concise efficient SQL queries, writing reports and presenting findings with data visualization tools.\n\n* Experience using a cloud data warehouse environment (such as BigQuery)\n\n* Experience with Python and pandas is a plus.\n\n* Working knowledge of business statistics and probability.\n\n* Ability to build trust and communicate insights effectively with a variety of business stakeholders across analytical levels.\n\n* Desire to be a partner to business stakeholders with a shared goal of using analytics and insights to drive the business forward.\n\n* Communicator. Excellent communication skills and a willingness to give and receive feedback.\n\n* Driven. Proactive and self-driven problem-solving with sharp attention to detail.\n\n* Iterative. You deliver results quickly with iteration, instead of waiting for perfection. \n\n* Adaptable. You are flexible and versatile with projects, goals, and strategies. You move quickly with change and stay open-minded\n\n* Entrepreneurial. You are a proven executor and work with urgency to produce excellent results with limited time and resources\n\n* Lifelong learner. You are actively consuming content (podcasts, blogs, books, etc) and applying these learnings in your work to make sure you are as effective as possible. \n\n* Passion for Osmosis’s mission to provide your future clinicians the best education so they can provide you and your loved ones the best care.\n\n\n\n\nOsmosis is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other status protected by law.\n\nTo apply, please submit the following to [email protected]: \n\n\n* Resume\n\n* Portfolio of any relevant work\n\n* Answers to the following questions (50 words or less for each question):\n\n\n\n\n* What was an interesting data problem you worked on within the last year? How did you identify and address it?\n\n* Describe a situation where you did not have access to all of the data needed to triage a problem or analyze a situation, and how you adapted to it.\n\n* Based solely on what you see on osmosis.org, how would you measure customer lifetime value for Osmosis?\n\n\n\nIncomplete applications will not be considered. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Analyst, Video, Education, Cloud, Python, Excel, SaaS, Medical, Engineer and Ecommerce jobs that are similar:\n\n $75,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n