# 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 (#RMjE2LjczLjIxNi4xMDA=). 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 (#RMjE2LjczLjIxNi4xMDA=). 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

**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 (#RMjE2LjczLjIxNi4xMDA=). 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

\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

\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

\nDescription\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.\n\n\nSemanticBits is a leading company specializing in the design and development of digital health services, and the work we do is just as unique as the culture we’ve created. We develop cutting-edge solutions to complex problems for commercial, academic, and government organizations. The systems we develop are used in finding cures for deadly diseases, improving the quality of healthcare delivered to millions of people, and revolutionizing the healthcare industry on a nationwide scale. There is a meaningful connection between our work and the real people who benefit from it; and, as such, we create an environment in which new ideas and innovative strategies are encouraged. We are an established company with the mindset of a startup and we feel confident that we offer an employment experience unlike any other and that we set our employees up for professional success every day.\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* 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 verbal\n\n* Ability 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\n\nBenefits\n\n\n* Generous base salary\n\n* Three weeks of PTO\n\n* Excellent health benefits program (Medical, dental and vision)\n\n* Education and conference reimbursement\n\n* 401k retirement plan. We contribute 3% of base salary irrespective of employee's contribution\n\n* 100% paid short-term and long-term disability\n\n* 100% paid life insurance\n\n* Flexible Spending Account (FSA)\n\n* Casual working environment\n\n* Flexible working hours\n\n\n\n\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\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. \nTo help us better drive data-driven product decisions and strategy, we’re looking for a  skilled and curious data analyst who will play a crucial role in building the future of outdoor experiences.\n\nWhat will you do\n\n\n* Turn events and data into actionable insights\n\n* Develop analysis to drive product and business decisions and company strategy\n\n* Design and implement metrics, dashboards, and continuous reports\n\n* Communicate and discuss  findings to different audiences (Co-founders, marketing, product, sales etc.)\n\n* Working closely with teams throughout the company\n\n* Be an evangelist of data-driven decision-making\n\n\n\n\n\n\nWhy you will love it\n\n\n* You’ll be a key player in making product development, marketing and business decisions\n\n* You’ll work closely with komoot’s co-founder and influence the future direction of komoot\n\n* You’ll work with a modern and powerful cloud analytics platform based on AWS\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 burning desire to transform data into actionable insights\n\n* Have 2+ years of relevant experience interpreting data\n\n* Have strong and proven skills in SQL and Pandas\n\n* Have strong communication skills\n\n* Have fundamental Python and statistical skills\n\n* Have a hands-on attitude and are highly self-driven\n\n\n\n\n\n\nSounds like you?\n\nThen send us the following:\n\n\n* Your CV\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. Dashboards, 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\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, Analyst, Cloud, Python, Travel, Marketing, Sales and Non Tech jobs that are similar:\n\n $67,500 — $105,000/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

\nAt Toptal, we measure everything and always rely on data to guide all of our initiatives, including both our long-term strategy and our day-to-day operations. As a Data Scientist on our Analytics Team, you will be working with our cross-functional team to model complex problems, discover actionable business insights, and identify high-impact opportunities. You will be part of a high-energy, fast-paced team responsible for supporting initiatives and operations across the company. We have freedom to choose the best tool for the job. That’s why:\n\n\n* Our infrastructure is in Google Cloud Platform\n\n* For research we leverage both Python and R\n\n* Our ETL pipelines and production models are in Python and Scala\n\n\n\n\nThe ultimate goal is solving real business problems. We work on problems that deeply affect the operation of our business. This ranges from predictive models, controlling and optimizing the client flow, and other very open-ended questions. For example, our stakeholders may ask if it is feasible to pursue a certain business direction and, if so, what are the implications on business processes and the costs of moving to that solution.\n\n\nThis is a remote position that can be done from anywhere. However, we do things like [rent out hotels in Africa or mansions in Thailand](https://www.toptal.com/remote/the-ultimate-remote-culture), and you will certainly be invited to come work with us. \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

\nAbout Seven Bridges\n\nSeven Bridges Genomics is building the most advanced cloud computing platform for genomics data analysis on the market. We democratize genomics by enabling researchers anywhere to process and understand genomic data faster and more efficiently than ever, at any scale. This allows them to focus on advancing their fields and making personalized medicine a reality.\n\nThe flexibility of our platform, in the hands of our large team of experts, allows us to collaborate with a wide variety of distinguished pharmaceutical, health-care, and academic partners. We help these partners investigate and treat all kinds of genetic disorders. We are also excited to have been selected to participate in the National Cancer Institute's Cancer Cloud Pilot, which will accelerate and expand our vision.\n\nPosition\n\nAs a member of our R&D team you will help create, maintain, test, and innovate on our experimental tools and data sets. You have genomics knowledge and experience that will help guide the team, and will work with the rest of the team to turn prototypes based on theoretical insights into fully-fledged tools ready for production use in a variety of real-world environments. These will be laying the groundwork for the next generation in the field.\n\nAn ideal candidate would have:\n\n\n* experience with genomics;\n\n* a strong background in data science;\n\n* experience dealing with real-world data problems such as versioning, ensuring reproducibility and traceability;\n\n* experience working with databases;\n\n* meticulous attention to data and a voracious appetite for research in all its forms;\n\n* exposure to developing;\n\n\n\n\nand we also think that...\n\n\n* experience developing is a plus, especially exposure to Python and/or C/C++;\n\n\n\n\nWe don't require the candidates to meet every single requirement on our list. Above all we are looking for a strong cultural fit, as we value our team more than anything else and we like to learn from each other and share the knowledge. In return, we offer a relaxed and open work environment, flexible working hours, and great work conditions.\n\nIf you would like to help us advance genomics at our leading, well-funded, and dynamic startup, please apply at https://app.jobvite.com/j?aj=ojbS1fw7&s=stackoverflow , or send questionsto [email protected]. \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

\nIf you’re smart, passionate about technology and enjoy solving complex technical challenges then you should apply to join our best-in-class tech team. We believe that people are our most important asset and one worth protecting. As such, we’re known for creating an enviable working culture to keep our employees smiling on a day to day basis. \n\nWe offer things such as flexible hours, remote working, fortnigtly hackathons and freedom to work on projects of individual interest to name just a few. In fact, our impressive working culture has recently earned us 1st place in the Sunday Times 100 Best Companies to Work for 2015. \n\n\nWe have two different positions.\n\n\n1. Senior Developers who would like to lead a team / projects - We envisage the split here being about 70% hands-on coding and 30% leading the team, liaising with product owners on prioritization work, attending iteration planning meetings with stakeholders, delegating tasks to dev team, and making sure we are following Lean / Agile processes correctly.\n\n\n2. Senior Developers who want to be 100% coders (non-lead) - This role will be 100% hands on working with our other Devs to code beautiful products for our customers! \n\n\n\nSome of our Current Projects: \n\nSeedy - Our custom built CMS. A hybrid, markdown based, sinatra driven CMS but with a TDD undercurrent. Content changes are no different to backend refactoring. Templates are written in a custom DSL that enforces our style guide while still supporting iterative changes and automatic deployment. Across the company people (including business teams) are now being tagged in pull requests and even writing code!\n\nAerie - We’re overhauling our data and analytics architecture. Using the latest approaches in event streaming, we are building a brand new data pipeline based on Kinesis and Redshift that will support the analysis of both structured and semi-structured data in near real-time. This will provide rapid and intuitive customer insight to our decision makers, while also providing exciting machine learning capabilities back to our core product offering.\n\nAAA - We are enhancing our new world platform. Our current focus is on security with a view to building out ‘infrastructure as code’ using tools such as AWS CloudFormation, AWS OpsWorks, Chef/Puppet and many others. Essentially, we believe a well architected system allows us to avoid unnecessary complexity and can enable individuals to generate great output.\n\nOur Tech Stack\n\n\n\n\n* Ruby\n\n* Rails                                                                                                                            \n\n* Scala  \n\n* MongoDB\n\n* RabbitMQ\n\n* Puppet/Boxen\n\n* AWS                                                                                                                        \n\n* Hadoop / RedShift / Looker /Tableau\n\n* Cucumber / RSpec / Jasmine                              \n\n* SASS / HAML / HTML5 / CSS3 / JavaScript / CoffeeScript / jQuery\n\n\n\n\n\nThis list changes all the time, as being on the lookout for new technology trials and opportunities is part of our code. We don’t believe in limiting ourselves, or the company. If there are other tools that could get the job done better, we’re committed to exploring them.\n\nThings we believe in:\n\n\n\n\n* TDD / BDD\n\n* Continuous Delivery\n\n* Pair Programming\n\n* Build – Measure - Learn\n\n* Active participation to open source\n\n* Our business people writing code (we've not seen this anywhere else!)                                \n\n* Cross functional teams (Dev / QA/ Data / UX / Product owners all sitting together)            \n\n* Release early and learn quickly - we release our software to production around 15 times a day on average!        \n\n* Continuous learning - we look to pay for courses and conferences and actively encourage our Devs to get out and about in the community. We have even sent some of our Devs to Miami, Portugal and Barcelona for conferences recently.                                                              \n\n* Have fun! We do ruby coding challenges during lunchtimes over pizza, we have desk beers on a friday, we have several social events throughout the year, we do fortnightly hackathons, we have afterwork clubs like: UX, Data science and Robotics club, we have flexible working hours, weekly 'show n tell' sessions, and lot's more!                                                                                                 \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 JavaScript, InfoSec, Java, Cloud, CSS, Quality Assurance, HTML, Python, Scala, Ruby, Admin, Machine Learning, Data Science, Senior, jQuery, Sys Admin, Backend, Design and Digital Nomad 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