**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 (#RMjE2LjczLjIxNi4xMTU=). 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

### Company Overview\nSporty is a mobile internet company with a focus on emerging markets. Our integrated sports media, betting, gaming and social platform serves a huge userbase across numerous countries. We have a talented and proven team of 200+ people comprised of 50+ tech staff and 150+ product, operations and support, and are looking to expand our tech team count to 100+ people as we look to drive further geographical expansion, whilst iterating on our offering with a user-driven development approach.\n\n### Tech Stack\n* Oracle\n* mySQL\n* AWS/RDS\n* Python\n* Metabase\n\n### Benefits\n* Competitive salary \n* Quarterly bonuses \n* Flash bonuses \n* Top-of-the-line equipment \n* Pick your own working hours (We are at GMT+8, and 4 hours overlap is required.)\n* 20-days paid leave \n* Referral program \n* Education allowance (conferences, books, training courses, Udemy, Coursera, etc.) \n* Annual company trips (eg next year Koh Samui, Thailand) \n* Small enough to allow you to have a big impact \n* Large enough to provide structure and clarity \n* Highly-talented, dependable co-workers \n* Global, multi-cultural organization\n# Responsibilities\n* Delivering clear analysis and reporting of core business metrics to shareholders\n* Creation and management of reports and dashboards\n* Monitoring the performance of key business products\n* Providing actionable insight to drive growth of core products\n* Extraction and analysis of large data sets from MySQL/Oracle DBs\n* Ad hoc analysis and reporting to clients and shareholders\n\n# Requirements\n* Delivering clear analysis and reporting of core business metrics to shareholders\n* Creation and management of reports and dashboards\n* Monitoring the performance of key business products\n* Providing actionable insight to drive growth of core products\n* Extraction and analysis of large data sets from MySQL/Oracle DBs\n* Ad hoc analysis and reporting to clients and shareholders \n\nPlease mention the words **TOMORROW ACID BRACKET** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTU=). 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 $20,000 — $70,000/year\n \n\n#Location\nWorldwide

\nAt BairesDev (Glassdoor Employee Score: 4.3), we are proud of being one of the fastest-growing companies in the industry because we don't sacrifice quality. With more than 1300 collaborators, and providing talent to companies such as Google, Pinterest and Udemy, we continue to rapidly add talent to our multicultural team who will help us get to the next level.\n\nWe are looking for Data Scientists to work from home and join our Development team and participate in different projects made up of multicultural teams distributed throughout the world. We are looking for proactive people, team players passionate about programming in this language and oriented to provide the best experience to the end user. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing companies in the industry!\n\nThese developers will face numerous technical challenges, so they must use current technologies, get involved in the mobile world, web applications, devices, etc.\n\nMain Activities:\n\n- Work together with developers, tech leads and solution architects to build applications.\n- Improve existing structures by adding new functionalities or proposing technological updates so that as a result, the impact of your contribution is significant in the core of each business.\n- The result of your work will also allow you to improve the user experience on scalable and high availability platforms, contributing to the key differential of each business.\n\n What are we looking for: \n\n- 6+ years of experience working as a developer.\n- 5+ years of experience in Data Scientist.\n- Proficient with analysis, troubleshooting, and problem solving.\n- Hands-on experience with managing data loads and data quality a plus.\n- Advanced English is mandatory.\n\n\n\nWe offer:\n\n- 100% remote / work-from-home flexible schedules.\n- Excellent compensation.\n- Multiple opportunities to learn and grow in a people-first environment.\n- Warming company culture.\n- Clients interested in what you have to say, eager to hear your opinions and mostly in working together towards building something great.\n\nApply now and become part of this fantastic startup. At BairesDev, remote work is at our core. Enjoy the opportunity to have a dynamic lifestyle, better health, and wellness. Find renewed passion in your job, improve your productivity, and benefit from attractive growth opportunities for your career. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, English 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

\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

\nAt Noom, we use scientifically proven methods to help our users create healthier lifestyles, and manage important conditions like Type-II Diabetes, Obesity, and Hypertension. Our Engineering team is at the forefront of this challenge, solving complex technical and UX problems on our mobile apps that center around habits, behavior, and lifestyle.\n\nWe are looking for a Data Scientist to join our Data team and help us ensure that we apply the best approaches to data analysis and research, artificial intelligence, and machine learning.\n\nWhat You’ll Like About Us\n\n\n* We work on problems that affect the lives of real people. Our users depend on us to make positive changes to their health and their lives.\n\n* We base our work on scientifically-proven, peer-reviewed methodologies that are designed by medical professionals.\n\n* We are a data-driven company through and through.\n\n* We’re a respectful, diverse, and dynamic environment in which Engineering is a first-class citizen, and where you’ll be able to work on a variety of interesting problems that affect the lives of real people.\n\n* We offer a generous budget for personal development expenses like training courses, conferences, and books.\n\n* You’ll get three weeks’ paid vacation and a flexible work policy that is remote- and family-friendly (about 50% of our engineering team is fully remote). We worry about results, not time spent in seats.\n\n* Delicious (and nutritious) daily lunches and snacks prepared by Sam, our NYC office on-site chef.\n\n\n\n\nWhat We’ll Like About You\n\n\n* You have 4+ years of experience as a Data Scientist in a similarly-sized organization, with a proven record of analysis and research that positively impacts your team.\n\n* You have a superior knowledge of statistical analysis methods, such as input selection,  logistic and standard regression, random forests, etc.\n\n* You have extensive experience with pandas, numpy, and sklearn. Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, or similar) is a plus\n\n* You are capable of working with engineers to build an actual production system that uses machine learning and artificial intelligence. We don’t expect you to write production-quality code, but you should have some programming experience.\n\n* You are comfortable with at least “medium data” technologies and how to transcend the “memory bound” nature of most analytics tools.\n\n* You possess excellent SQL/relational algebra skills, ideally with at least a basic knowledge of how different types of databases (e.g.: column vs row storage) work.\n\n* You possess excellent communication skills and the ability to clearly communicate technical concepts to a non-technical audience.\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, Executive, Stats, Mobile and Medical 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

\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

\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

\nAt Noom, we use scientifically proven methods to help our users create healthier lifestyles, and manage important conditions like Type-II Diabetes, Obesity, and Hypertension. Our Engineering team is at the forefront of this challenge, solving complex technical and UX problems on our mobile apps that center around habits, behavior, and lifestyle.\n\nWe are looking for a Data Scientist to join our Data team and help us ensure that we apply the best approaches to data analysis and research, artificial intelligence, and machine learning.\n\nWhat You’ll Like About Us\n\n\n* We work on problems that affect the lives of real people. Our users depend on us to make positive changes to their health and their lives.\n\n* We base our work on scientifically-proven, peer-reviewed methodologies that are designed by medical professionals.\n\n* We are a data-driven company through and through.\n\n* We’re a respectful, diverse, and dynamic environment in which Engineering is a first-class citizen, and where you’ll be able to work on a variety of interesting problems that affect the lives of real people.\n\n* We offer a generous budget for personal development expenses like training courses, conferences, and books.\n\n* You’ll get three weeks’ paid vacation and a flexible work policy that is remote- and family-friendly (about 50% of our engineering team is fully remote). We worry about results, not time spent in seats.\n\n* Delicious (and nutritious) daily lunches and snacks prepared by Sam, our NYC office on-site chef.\n\n\n\n\nWhat We’ll Like About You\n\n\n* You have 4+ years of experience as a Data Scientist in a similarly-sized organization, with a proven record of analysis and research that positively impacts your team.\n\n* You have a superior knowledge of statistical analysis methods, such as input selection,  logistic and standard regression, random forests, etc.\n\n* You have extensive experience with pandas, numpy, and sklearn. Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, or similar) is a plus\n\n* You are capable of working with engineers to build an actual production system that uses machine learning and artificial intelligence. We don’t expect you to write production-quality code, but you should have some programming experience.\n\n* You are comfortable with at least “medium data” technologies and how to transcend the “memory bound” nature of most analytics tools.\n\n* You possess excellent SQL/relational algebra skills, ideally with at least a basic knowledge of how different types of databases (e.g.: column vs row storage) work.\n\n* You possess excellent communication skills and the ability to clearly communicate technical concepts to a non-technical audience.\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, Executive, Stats, Mobile and Medical 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

\nAt Noom, we use scientifically proven methods to help our users create healthier lifestyles, and manage important conditions like Type-II Diabetes, Obesity, and Hypertension. Our Engineering team is at the forefront of this challenge, solving complex technical and UX problems on our mobile apps that center around habits, behavior, and lifestyle.\n\nWe are looking for a Data Scientist to join our Data team and help us ensure that we apply the best approaches to data analysis and research, artificial intelligence, and machine learning.\n\nWhat You’ll Like About Us\n\n\n* We work on problems that affect the lives of real people. Our users depend on us to make positive changes to their health and their lives.\n\n* We base our work on scientifically-proven, peer-reviewed methodologies that are designed by medical professionals.\n\n* We are a data-driven company through and through.\n\n* We’re a respectful, diverse, and dynamic environment in which Engineering is a first-class citizen, and where you’ll be able to work on a variety of interesting problems that affect the lives of real people.\n\n* We offer a generous budget for personal development expenses like training courses, conferences, and books.\n\n* You’ll get three weeks’ paid vacation and a flexible work policy that is remote- and family-friendly (about 50% of our engineering team is fully remote). We worry about results, not time spent in seats.\n\n* Delicious (and nutritious) daily lunches and snacks prepared by Sam, our NYC office on-site chef.\n\n\n\n\nWhat We’ll Like About You\n\n\n* You have 4+ years of experience as a Data Scientist in a similarly-sized organization, with a proven record of analysis and research that positively impacts your team.\n\n* You have a superior knowledge of statistical analysis methods, such as input selection,  logistic and standard regression, random forests, etc.\n\n* You have extensive experience with pandas, numpy, and sklearn. Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, or similar) is a plus\n\n* You are capable of working with engineers to build an actual production system that uses machine learning and artificial intelligence. We don’t expect you to write production-quality code, but you should have some programming experience.\n\n* You are comfortable with at least “medium data” technologies and how to transcend the “memory bound” nature of most analytics tools.\n\n* You possess excellent SQL/relational algebra skills, ideally with at least a basic knowledge of how different types of databases (e.g.: column vs row storage) work.\n\n* You possess excellent communication skills and the ability to clearly communicate technical concepts to a non-technical audience.\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, Mobile and Medical 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

\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

\nXOi Technologies is changing the way field service companies capture data, create efficiencies, collaborate with their technicians, and drive additional revenue through the use of the XOi Vision platform. Our cloud-based mobile application is powered by a robust set of machine learning capabilities to drive behaviors and create a seamless experience for our users.\n\nWe are a group of talented and passionate engineers and data scientists working together to discover and provide valuable insights for our customers. We leverage state-of-the-art machine learning techniques to provide our users with these unique insights, best practices, and solutions to the challenges they face in their workplace. Problems and solutions typically center around aspects of the Vision platform such as image recognition, natural language processing, and content recommendation.\n\nAs a Senior Data Scientist, you will build machine learning products to help automate workflows and provide valuable assistance to our customers. You’ll have access to the right tools for the job, large amounts of quality data, and support from leadership that understands the full data science lifecycle. You’ll build models using technologies such as Python, Tensorflow, and Docker.\n\nResponsibilities:\n\n\n* Interpret and understand business needs/market opportunities, and translate those into production analytics.\n\n* Select appropriate technologies and algorithms for given use cases.\n\n* Work directly with product managers and engineering teams to tightly integrate new analytic capabilities.\n\n* Prepare reports, visualizations, and other documentation on the status, operation and maintenance of the analytics you create.\n\n* Stay current on relevant machine learning and data science practices, and apply those to existing problem sets.\n\n\n\n\nRequirements: \n\n\n* Excellent understanding of machine learning algorithms, processes, tools, and platforms including: CNN, RNN, NLP, Tensorflow, PyTorch, etc.\n\n* Proficient with the following (or comparable): Linux, Python, scikit-learn, NumPy, pandas, spaCy.\n\n* Applied experience with machine learning on large datasets/sparse data with structured and unstructured data.\n\n* Experience with deep learning techniques and their optimizations for efficient implementation.\n\n* Great communication skills, ability to explain predictive analytics to non-technical audiences\n\n* Bachelor’s in Math, Engineering, or Computer Science (or technical degree with commensurate industry experience).\n\n* 3+ years of relevant work experience in data science/machine learning.\n\n\n\n\nNice to Have:\n\n\n* AWS services such as Lambda, AppSync, S3, and DynamoDB\n\n* DevOps experience with continuous integration/continuous deployment.\n\n* Experience in software engineering best practices, principles, and code design concepts.\n\n* Speech-to-text or OCR expertise.\n\n\n\n\nYou Are Someone Who:  \n\n\n* Has a passion for code quality and craftsmanship.\n\n* Views your profession as your craft and continuously pursues excellence in your work.\n\n* Thrives in a fast-paced, high-growth startup environment.\n\n* Collaborates effectively across various teams, coordinating regularly to set and manage expectations.\n\n\n\n\nYou’ll experience:  \n\n\n* Being a key part of a fast-growing software company where you can make a difference.\n\n* Comprehensive insurance plans.\n\n* Monthly wellness allowance.\n\n* Flexible paid time off & paid volunteer time.\n\n* Learning & development.\n\n* Working in the historic and centrally located Marathon Village in Nashville, TN.\n\n* Participating in team outings, events, and general fun! \n\n* Helping to change an industry by serving the men and women that make our world turn.\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 and Mobile 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

\nSUMMARY\n\nHugo is looking for a data scientist with an interest in the development of novel analytic approaches for healthcare data. The individual will work in a team environment to implement and deploy advanced analytic solutions for data integration, harmonization, and healthcare outcomes assessment.\n\nRESPONSIBILITIES\n\n* Model Development\n\n* Work with team to develop machine learning and natural language processing models for healthcare data management tasks\n\n* Develop innovative approaches for the use and analysis of real-world healthcare data\n\n* Implement data processing pipelines within development and production environments\n\n* Engage with customers in the development of analytic approaches for real-world healthcare data\n\n\n\n\n* Data Visualization\n\n* Development of data extracts and visualizations for internal and client-facing use\n\n* Integration of efforts with software development team to deploy analytics to web and/or mobile applications\n\n\n\n\n* Teamwork\n\n* Works closely with Director of Technology and development team to identify and create necessary analytic tools and visualizations\n\n* Creates and maintains regular status reports\n\n* Completes specific task activities as documented in work plans\n\n* Promotes a team atmosphere that is conducive to the overall accomplishment of goals, schedules, and deadlines\n\n* Openly shares information with all team members\n\n\n\n\n* Documentation\n\n* Documents data models and software architecture\n\n* Assists with implementation and deployment plans\n\n\n\n\n\n\nREQUIREMENTS\n\nEDUCATION: Bachelor’s degree or equivalent experience in healthcare, analytics, or software development\n\nEXPERIENCE: One to three years of experience in analytics, software development, or related work. Prior experience in healthcare or related field preferred.\n\nSPECIALSKILLS: Strong background in data analysis with a diverse set of platforms, such as Python. Experience with developing and accessing data from multiple sources, include web-based APIs, databases (SQL and NoSQL), and structured files such as JSON and XML. Knowledge of advanced analytic approaches, including supervised and unsupervised machine learning and natural language processing. Experience with version control and common software development practices required. Prior experience with the development of visual data representations, including matplotlib and/or D3, and their use in web applications preferred. \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, Mobile, Medical 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

Hi, I’m Colin, CEO of Customer.io.\n\nCustomer.io is looking for a **Data Analyst** to help our company understand what’s happening in the business through data. You’ll be independent, working outside of any one team so that you’re an unbiased voice exploring our data to answer questions for the rest of the company. \n\nAt Customer.io, data helps inform many decisions, but it’s one factor alongside other things like customer research, our experience, and intuition. You *won’t* find us running experiments to figure out which of 50 shades of blue is the best one for a button color!\n\nYou’ll work alongside 40 people from around the world working each day to help businesses build great experiences and strong relationships with their customers. Over 1100 businesses use Customer.io as a core part of their website or mobile app to send emails, push notifications, SMSes, and more to their audience. The insight you’ll provide will help everyone in our company do their job better and impact the lives of the millions of people downstream who receive messages from our customers.\n\n# Responsibilities\n **As the Data Analyst at Customer.io, you’ll work on projects like:**\n* Helping our Product Team measure usage and uptake of our new Push Notifications feature.\n* Helping our Marketing Team understand how their work doubling our number of monthly trials (nice work Marketing!) is leading to downstream success in creating new, long term customers. \n* Working with the CEO (that’s me) to create dashboards to show our key company metrics that we’ll use to make strategic decisions.\n* Analyzing whether or not a pricing change we’ve made has paid off. \n\n\n\n**How you’ll work at Customer.io**\n\nA good way to think about this role is as a consultant serving multiple internal clients. You’ll be often collaborating with our Leadership, Product, Marketing, and Sales Teams. An effective person will be able to balance multiple internal clients, get to the root of what each person is asking for, and allocate enough time to do the work that delivers insights.\n\nYou’ll build dashboards and reports on top of the data pipeline that you’ll ensure reflects our business as accurately as possible.Don’t worry though, our SRE team keeps the data warehouse healthy, and back end engineers can jump in as needed to help you out.\n\nYou control your schedule and how you do your work, but the majority of our team is in North American time zones and as long as you can have a few hours of overlap each day, we don’t mind where you are.\n \nSince our team is distributed, almost all of our communication is written. Especially in the Data Analyst role, clear writing is critical to educating others about your findings.\n \n\n# Requirements\n**You’ve probably got many of these:**\n* You’re fluent in using SQL to query and transform data.\n* You have experience communicating complex analyses to a non-technical audience\n* An understanding of how to present data for understanding and accuracy\n\n**Bonus, but not required (shout about it in your application if you have experience):**\n* Marketing Technology and/or SaaS Company experience - if you’ve built reports showing CAC to LTV calculations that’s great but you can learn that too.\n* Experience using Python for data analysis\n* You’ve used tools in our stack like: DBT, Mode, Looker, Stitch Data, Amazon Redshift\n\n**Why should you work with Customer.io?**\n\nWork anywhere in the world you want. We want to enable you to do your best work, and this is how we aim to do that:\n\n**Equity**- You'll own a piece of the company that you help create. You’ll be recognized for your\ncontributions by earning equity in the company.\n\n**Big Impact**- Our team is small, but growing quickly. The work you do will materially impact how successful we are as a company.\n\n**Great Tools** - Everyone in the company has an Apple computer and is given a budget for a motorized standing desk, Steelcase Leap office chair, external monitor, and anything else you'd like to get your job done.\n\n**Health Benefits** - We pay 100% of your premiums for you and your family for medical, dental, and vision,. We also cover employee’s short-term disability, long-term disability, and life insurance. \n\n**Paid Parental & Medical Leave** - Including adoption.\n\n**Retreats** - We get our whole company together twice a year. Recent retreats have been in Quebec City, Chicago, and Iceland. \n\n**Vacation**- Rest and recuperation are essential. We offer 4 weeks of paid vacation plus the standard local holidays where you are, and flexibility if you need an extra day here and there.\n\n***Diversity statement***\n\nAt Customer.io, we’re committed to building a diverse environment and encourage applicants from underrepresented groups. We want people with different backgrounds from the team we have today to bring their perspective and thoughtfulness to the work that we do and the culture we foster.\nCome Join Us!\n\n\nP.S. Hey, this is Colin again. My first job in tech was as a product manager when I had next to no experience. Somebody took a chance on me when I felt like a total imposter. I wouldn’t have gotten that opportunity if I never applied. I hope you apply too.\n\n \n\nPlease mention the words **VERSION SPACE INCOME** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTU=). 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 No salary data published by company so we estimated salary based on similar jobs related to Python, Data Science, Analyst and Mobile jobs that are similar:\n\n $75,000 — $122,500/year\n

If you have a soft spot for bootstrapped, profitable companies with a meaningful product, and you want to use your data analyst / growth skills for good, you’ll like this.\n\n\n\n\n\nAbout us:\n\n\n\nDrops’ goal is to turn language learning into a delightful game while ensuring effective learning. Our app is in the Appstore for 3 years, teaches 31 languages, was featured by both the App Store and Play Store multiple times - Editors' Choice on the Play Store - and the company is still run by the founders. We are a small, super-capable remote team mainly spread across Europe. We’re working synchronously, so time zones matter for us. We communicate via Slack, Git and Trello and have a release twice a week. We want to be the no.1 app for vocabulary learning and we are getting there quickly with our current user base of 7 million, a monthly active of >800,000 and an average store rating of 4.7.\n\n\n\nYou can find us here: [http://drops.app.link/](http://drops.app.link/)\n\n\n\n\n\nAbout you:\n\n\n\nYou’ll be responsible for improving the quantity, quality and reliability of the multivariant tests we run.\n\n\n\nYou’re a no-nonsense person, who is comfortable taking ownership of all aspects of our analytics & growth funnel, who has experience in working at a product company, and who can bring us insights, initiatives and execution that will help us grow.\n\n\n\nWe want everyone to see the big picture: this means you already pushed your boundaries outside of the strict data realm, and are knowledgeable about mobile and web growth frameworks, ASO, SEO, best practices regarding retention and monetization.\n\n\n\nWe’re building a small, but super capable team. You’re naturally more interested in the fate of the product & driven to grow professionally, than in managing people.\n\n\n\nWe are looking for a missionary rather than a mercenary.\n\n\n\nWe value clear and honest communication and transparency, it’s the linchpin of our culture and current success and freedom. You will be involved in both high and low level decision making and will be available during European working hours (9AM - 6PM GMT).\n\n\n\nWe offer:\n\n\n\n* An awesomely compact 13 person team\n\n* Educational allowance\n\n* Fittness allowance\n\n* All the perks of remote working\n\n* 30 days of holiday per year (including Christmas and other holidays)\n\n* Quarterly team gathering somewhere in the world\n\n* Stock options from a high-growth, profitable company\n\n# Responsibilities\n You will:\n\n* Work cross functionally with our engineers, designer and marketing teams on opportunities to initiate / manage / analyze the AB tests we’re running across multiple platforms.\n\n* Make sense out of all the data that comes in (mobile, web, iTunes, Play Store, our own users database).\n\n* Gather insights from the existing data we have, and initiate projects to help improve our KPIs.\n\n* Prefer to use a minimal set of simple tools to complex ones. (This is important for us)\n\n* Communicate effectively and often to ensure that the team is aligned.\n\n* Help the engineers structure the events on existing and new platforms & define our KPIs. \n\n# Requirements\nYou have:\n\n* At least 2 years of experience in working in product analytics, managing multivariant tests and their results.\n\n* At least 3 years of experience in using various Analytics / BI tools (from Amplitude to SQL queries)\n\n* Experience driving product growth in the consumer mobile app space.\n\n* Some experience in qualitative testing methodologies. You’re not afraid with engaging with end-users if needed.\n\n* Knowledge about fundamental mobile and web growth mental models\n\n* Project management experience (everyone is managing projects at Drops)\n\n* Strong verbal and written communication skills and the ability to work well cross-functionally.\n\n* (Preferably) experience in all 4 pillars of the growth funnel: Acquisition, Activation, Retention, Monetization \n\nPlease mention the words **OUTDOOR CURRENT FACULTY** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTU=). 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 No salary data published by company so we estimated salary based on similar jobs related to Data Science, Marketing, Executive, Analyst, Git and Mobile jobs that are similar:\n\n $70,000 — $115,000/year\n

About Envision\nEnvision is a FinTech start-up company based at level 39 Canary Wharf London, Europe’s largest technology accelerator for FinTech. Envision is also a member of the Innovate Finance and very actively engaged with the London’s fast paced FinTech community. At Envision we believe in a future free from the complexity of the payments eco-system, building our solutions with privacy of consumer data in mind and security by design. We give our customers peace of mind from the risk of growing online fraud with our innovative solutions using AI and cutting edge technology.\n\nEnvision has built a digital payments platform from scratch with the highest security standards (PCI-DSS Level 1). We are now building SpiralPay, an innovative mobile wallet platform that revolutionises payments, secure identity verification and data privacy all in a single platform.\n\nSpiralPay allows people to take back control of their data acting as a single tool for secure login, identity verification and payments without storing or sharing personal data. Even Envision will not have access to the data as the key always stays in the hands of the consumer. Unlike other wallets we focus heavily on security, promising our customers that we will never store their personal data or share to third parties with their explicit consent.\n\nWe are also adapting Spiral360, our innovative AI/machine learning enabled real-time fraud detection solution, to SpiralPay app with in-built machine learning/ AI algorithms for real-time fraud detection operating on the mobile device even while the user is offline. Using a unique personal behavioral map which is created and updated frequently after each transaction.\n\nWe are fully remote team at the moment and so communication is really important, we use Slack to make it easier and we also have regular video conference calls.\n\nThe role\n\n• 1 Data Scientist\n\nWe are looking for an individual who has a strong coding background in Python. The role requires working with all kind of libraries such as Tensorflow, Scikit-learn etc. Our primary focus is building statistical models as well as utilising machine learning and/or deep learning. Data manipulation skills in SQL based toolsets are also essential as is the ability to work with APIs (including defining APIs for Data science applications). This is an exceptional prospect with plenty of room for career progression.\n3+ years’ experience in Artificial intelligence/ Machine learning is required.\n\nData Scientist Job Responsibility:\n\n• Selecting features, building and optimising classifiers using machine learning based tools or processes within our company\n• Data mining using state-of-the-art methods\n• Ability to research, design and implement self-learning algorithms\n• Ability to clearly communicate the designed algorithms, data flows and outcomes\n• Develop models for fraud detection for various payment transactions and social media content\n• Strong skills in statistics, machine learning and/or deep learning\n• Demonstrated experience with development of high performance models used for real-time processing\n• Comfortable working with developers with the willingness to both teach others and learn new techniques\n• Processing, cleansing, and verifying the integrity of data used for analysis\n• Creating automated anomaly detection systems with constant performance tracking\n\nDesirables\n• Extensive experience with designing REST API\n• Knowledge of Spark, Kafka\n• Experience with Docker containers\n• Familiar with Unix operating systems (Ubuntu)\n\nPersonal Skills\n• Individual with a passion and enthusiasm to take on bigger challenges and stretching goals.\n• Success mindset.\n• Proactive and creative self-starter.\n• Problem solver with positive mental and learning attitude.\n• Team player with strong interpersonal, communication skills.\n• Can work in small team with a vision to grow.\n\nPlease check http://www.envisionworld.co for more information or contact us at [email protected]\n\nWe thank you in advance for your interest!\n\nThe Envision Team \n\nPlease mention the words **ALL TYPICAL FINISH** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTU=). 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 No salary data published by company so we estimated salary based on similar jobs related to JavaScript, React, Mobile, Machine Learning, Data Science, Video, Finance and Non Tech jobs that are similar:\n\n $65,000 — $120,000/year\n

\nAre you interested in applying your technical skills to identifying the next global infectious disease threat and improving global health? \n\nEcoHealth Alliance is seeking software developers for our tech team. As part of a small team of developers, data scientists, and infectious disease scientists, you’ll develop tools to support EcoHealth Alliance’s mission in conservation and global public health. The focus of this position will be to develop global health web platforms that are actively used to monitor global emerging infectious diseases, and that contribute to the analysis of disease emergence.\n\nDescription and Responsibilities \n\nWe are looking to build a diverse team with a variety of skill sets and backgrounds. Position duties may include:\n\n\n* Contributing to open source software; mobile app development, building front-end(s) for web frameworks (e.g., Meteor)Data and text mining\n\n* Designing scientific visualizations\n\n* Geo-tagging and geo-visualization\n\n* Network modeling\n\n* Contributing to technical project management\n\n* Some collaborative proposal development.\n\n* Developing natural language processing and machine learning systems\n\n\n\n\nWe mostly code in CoffeeScript, JavaScript, and Python and use Meteor for web apps and AWS for hosting. We collaborate on GitHub, do code review via pull requests, and use project management tools and communication to keep everything on track.\n\nEcoHealth Alliance is an equal opportunity employer offering competitive salary and a comprehensive benefits package that covers 100% of the monthly health care premium costs for the employee and their family when applicable (including dental and vision coverage), a 403(b) pension plan, flexible work schedules, a minimum of 10 days paid vacation annually, paid holidays, work from home days, and a pre-tax transportation withholding for commuters in New York City. EcoHealth Alliance may encourage employees to attend conferences when appropriate, and enroll in courses for the joint purposes of professional development and promoting the EcoHealth Alliance mission.\n\nThe position is based at EHA headquarters in New York City (Manhattan). Local candidates are preferred, with possible relocation assistance available. Outstanding remote candidates will also be considered, but must be available to work for at least 4 hours between 9am and 6pm Eastern Standard Time to facilitate collaboration with New York based employees. \n\nHow To Apply\n\nTo apply, you must send your resume and a personalized cover letter as one document to [email protected] with the subject of 'Software Developer 2015'. Applications without cover letters will not be evaluated. This cover letter will help us assess your ability to communicate effectively and will be used as the primary mechanism to determine whether a candidate is asked to interview for the vacant position.  The cover letter is the most important part of your application. In your cover letter, please briefly describe your background and any experience you may have with web development frameworks, machine learning, natural language processing and public health. Be sure to mention why you are interested in working  on a research-and-development oriented team at a health and conservation focused non-profit. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to JavaScript, Python, Admin, Mobile, Machine Learning, Data Science, Medical, Sys Admin, Web Developer, Developer and Digital Nomad 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

\nQuality internet matters to you, and youve probably used Ooklas tools to check your broadband or mobile data performance. You may be surprised to know that every day over 5 million people use our app on the web, on iOS and Android - it's even embedded in routers.  Our users love us - taking over 7.2 billion tests to date - in order to learn more about the service they are receiving from their ISPs, mobile carriers, etc.\n\nOokla is a small team of passionate individuals who have turned a clever idea into a thriving business, and have gained an invaluable insight into the state of the Internet on a truly global scale. Were looking for a qualified and enthusiastic Senior Systems Engineer to bring their skills to our team. Someone to whom the idea of architecting, building and maintaining systems supporting such a high user and data volume is exciting. Someone eager to own the infrastructure of a service that you feel passionate about while helping to make the internet a better place for us all. \n\nThis role will require frequent (near weekly) visits to our downtown Seattle office - the pinball machine isn't going to play itself after-all -  otherwise we are a largely virtual company with excellent workplace flexibility.\n\nRESPONSIBILITIES\n\n\n* Manage and maintain a global ecosystem of over 150 cloud, virtual, and physical servers running Linux, OpenSolaris, BSD and others supporting tens of millions of customer pageviews per day.\n\n* Contribute to systems architecture decisions, capacity planning, documentation\n\n* Maintain and extend systems management tools including Chef\n\n* Manage multiple high transaction level Percona MySQL clusters, Amazon RDS, and other database technologies\n\n* Batch and real time data processing of large customer data sets via SQL and custom tools\n\n* Support production systems in a 24x7x365 environment, including on-call responsibilities.\n\n* Support and collaborate with development, data analyst, sales and support staff\n\n* Mentor junior engineering staff\n\n\n\n\nBenefits\n\nCompetitive Salary, dependent on experience\n\nOokla has great benefits including competitive compensation, full medical, dental and vision benefits for you and your family, a generous vacation and holiday plan, and more. We also provide the best hardware, software and tools available for you to do your work. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Admin, Mobile, Data Science, Senior, Junior, Android, Excel, Sales, Medical, Engineer, Linux, Sys Admin, Design, Digital Nomad and Amazon 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

JOIN US A SR. ENGINEER - SEARCH RELEVANCE\nTarget is one of the world’s most recognized brands and one of America’s leading retailers. But behind the brand our guests love, is a culture of continual innovation – and right now, we are up to big things. The Target Technology Team is driving a transformation in retail, one that will move us from “ and online” to “ and everywhere else.” Our goal is to deliver Target’s unique “Expect More. Pay Less.” promise to guests wherever and whenever they shop, today and tomorrow: in-store, online, on tablets and mobile phones, and in the retail channels of the future. \n \nYou can be a part of developing and launching new services that power all the channels where Target does and will do business – in-store, web, tablet, mobile, and future channels. You’ll have the opportunity to design, develop and support innovative solutions across a variety of applications, platforms and environments, building tomorrow’s technologies in Search, Browse, Product Info, Promotions, Content and Checkout. You’ll put your skills, experience and passion to work in an entrepreneurial environment where success is rewarded.\n \nWe are looking for highly motivated engineering professionals who can connect the in-store experience to the digital environment by creating scalable and seamless multi-channel experiences without losing the brand we are known for. Individuals in this role will have opportunities to gain a large breadth of knowledge by working with experts in the eCommerce, multichannel retail, product management and software engineering fields.\n \nAs an engineer, you are a software developer with an entrepreneurial streak. You will build great products - ready to do whatever it takes to build scalable guest focused, world-class eCommerce applications for the Sr. Engineer. You like resolving complex business problems and find innovative solutions. You love keeping abreast of the latest industry trends and use them to help you innovate. You have strong leadership qualities, great judgment, clear communication skills and a track record of delivering great products.\nKey Responsibilities:\n* Lead and develop search relevance features on our ecommerce search engine \n* Define search metrics to validate and qualify search relevance on the engine \n* Unit test code and create automated test scripts \n* Lead discussions with other engineers and partners to ensure development meets business needs \n* Follow industry standard agile software design methodology for development and technical documentation \n* Research related products and implement innovative solutions \n* Mentor other engineers across product development teams \n* Innovate constantly and maintain the technical edge\n\nMinimum Qualifications:\n* 5+ years of software development experience with at least one full cycle implementation from requirement to production \n* Experience in one or more of these areas: Search Relevancy, Search metrics measurement, Query Classification, Lexical Matching, Dynamic ranking and Static Ranking \n* Excellent problem solver, data mining, and search algorithm development skills \n* Strong sense of ownership and the ability to work with a limited set of requirements \n* Team attitude \n* Strong verbal and written communication skills – able to document and share design and specifications with team members and partners.\n\nDesired Qualifications:\n* BS degree in computer science or equivalent \n* eCommerce experience with a track record of innovation \n* Extensive experience working in an agile environment (i.e. user stories, iterative development, etc.) \n* Experience with search engine development; relevance metrics measurement, such as NDCG, CTR, CTS; query understanding and classifier; and ecommerce data mining \n* Solr experience on Query Parser, Relevance Score calculation, Query Field design, Function Query \n* Coding experience in Solr/Lucene Plugins and extensions \n* Expertise in one or more of the following areas: search simulations, lexical matching, fuzzy matching technique, document static ranking, dynamic ranking, relevance tuning\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Scala, SEO, Mobile, Data Science, 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