**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 (#RMjE2LjczLjIxNi4xOTg=). 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

\nDescription\n\nThrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. The marriage of data and analytics, our best-in-class content and science-backed behavior change IP will help people go from knowing what to do to actually doing it, enabling millions of consumers to begin the Thrive behavior change journey. As the Lead of the Data Engineering and Data Science team, you will play a significant role in building Thrive’s platform and products.\n\nWho We Are Looking For\n\n\n* A versatile engineering leader with the ability and desire to be both hands-on and lead a team.\n\n* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.\n\n* A willingness to take on a broad set of responsibilities from working with the product and engineering team to define architecture and infrastructure to supporting our data engineering efforts, building out data pipelines, building and testing models, putting those models into production and refining them as needed. To do this you will need to hire and grow a small team of technologists that complement your skillset and that of the existing team.\n\n* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.\n\n\n\n\nHow You’ll Contribute\n\n\n* Build a small but skilled team that will leverage data to provide recommendations and nudges to users that encourage them to master positive behavior change.\n\n* Work with the team to design and build out production grade data processing tools and infrastructure. \n\n* Work with the team to define hypotheses, conduct experiments, construct prototypes and build and train models to support the use cases required by our behavior change products. \n\n* Work with the team to put models into production.\n\n* Consider user privacy and security at all times.\n\n\n\n\nDesired Skills\n\n\n* 2+ years experience leading a data engineering, data science, or machine learning team.\n\n* 5+ years of industry experience with data engineering, data science or machine learning.\n\n* Extensive programming experience in Java or Python.\n\n* Experience with AWS SageMaker, TensorFlow, or other cloud frameworks. \n\n* Familiar with various machine learning techniques and libraries.\n\n* BA/BS or MS in Computer Science, or equivalent experience.\n\n* A plus to have working knowledge of Big Data (Hadoop, Cassandra, Spark, Kafka, YARN), real-time and batch processing.\n\n\n\n\nOur Mission\n\nThrive Global’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive Global is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.\n\nWhat We Offer\n\n\n* A mission-driven company that’s truly making a difference in the lives of people around the world  \n\n* Ability to develop within the company and shape our growth strategy\n\n* Human-centric culture with a range of wellness perks and benefits\n\n* Competitive compensation package\n\n* Medical, vision and dental coverage + 401k program with company match\n\n* Generous paid time-off programs \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, Engineer, Executive, Teaching, Java and Cloud 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

\nJoin a well-established (30+ years) telematics company to deliver a new generation of our data processing pipeline and analytics tools.\n\nProemion is at the forefront of the IoT/Telematics revolution and is looking for a Data Scientist (f/m) at the earliest possible date. The position can be at our headquarter in Fulda, Germany or full-time remote.\n\nThe team you will join is mostly remote with members spread across the globe.\n\nRequirements\n\n\n* Bachelors' or Masters' degree in Physics, Math, Computer Science, or Statistics preferred\n\n* Strong Python skills, especially in:\n\n\n\n\nnumby\n\npandas\n\nmatplotlib\n\nstatsmodels\n\nsklearn\n\n\n* You have an excellent understanding of math mainly linear algebra, probability, statistics as well as algorithms from the time series field\n\n* You are highly experienced with tooling like git, github, docker, rundeck, Jenkins, Travis, or Bash\n\n* Possess initiative, creativity, analytical skills, team spirit and the ability to work independently\n\n* You are a real world coding expert\n\n\n\n\nWhat you can expect\n\nWe are working with a massive dataset based on thousands complex construction- and off-road vehicles. Our data covers performance data, geo data and diagnostic event data. There for we have a huge range of use cases to address and can verify them utilizing out close relations with world class vehicle / machine manufacturers. We work with real machines with strong cases.\n\nYour role will mainly include the following tasks:\n\n\n* Time Series forecasting on sensor data:\n\n\n\n\nARIMA, HoldWinters, Linear Regression\n\nCross metric ML models\n\n\n* Anomaly detection in time series data and event data\n\n* Predictive maintenance based on performance data and diagnostic events\n\n* Interfacing with REST APIs\n\n* Feature definition based on many sensor signals\n\n* Gauge the performance and accuracy of forecasts and models\n\n* Development in Python and Java including automated testing\n\n* Automation of the analysis workflows including integrations with other Systems\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, Java, Math and Python jobs that are similar:\n\n $75,000 — $122,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\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

\nMedbravo is an e-Health startup in the fight against cancer: we are bringing the power of big data on clinical trials in cancer research. Our team is building a disruptive software platform around clinical trials focused in oncology that connects hospitals across regions on an online digital infrastructure. Our platform aggregates and process clinical trials protocol data at a clinical depth meaningful for patients, doctors, researchers and pharmaceutical industry providing them with analytics and actionable insights.\n\nWe need a java backend engineer to work with NLP (natural language processing), big-data, solr, hadoop .. In essence, if you are a fast learning engineer and you are interested in data-mining techniques and you enjoy building algorithms as well as applying math concepts, do not hesitate to contact us. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Java, Math, Data Science, Medical, Engineer and Backend 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

Your work\n\nTranslation of complex musical analytics and algorithms develop by scientists and experts into automated, integrated web solutions\nDevelopment of a backend web service handling high numbers of requests from multiple mobile and desktop devices\nBuilding of big data warehouses Neo4j Graph Database and data integration from web sources\nImprovement of the analytics of musical and personal data to improve recommendation results\nConception of a modular service structure for easy implementation in third-party services\n\nYour skills\n\nProfound command of the following programming and scripting languages: PHP, JAVA, Spring, Neo4j\nExperience in server structures and services, like ElasticSearch, Apache Sparks\nExperience in full scope test automation from unit to behavioral/functional to integration, like Junit, ScalaTest,...\nExperience working with big data Neo4j Graph Database\n\nOur offer\n\nA creative work environment in Brussels - at the heart of Europe (or from elsewhere) - with a great team passionate about bringing disruptive solutions to music/creative industries\nFlexible working hours for early birds and night owls\nCompetitive compensation \n\n#Salary and compensation\n $60,000 — $130,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBruxelles

Every month Snapwiz collects millions of user interaction records on its online learning platform (Wiley Learning Spaces, Wiley Orion, McGraw Hill Easy, Edulastic, etc). We use statistical analysis and machine learning techniques to administer adaptive testing, build personalized learning paths, and deliver learning recommendations. \n\nAs a data scientist, you’ll work with product managers, designers, and engineers to build data driven features directly into our learning platform. \n\nIf you enjoy working with data to build models, and solve hard challenges, then this job is for you. \n\n\nRequirements:\n* Strong background in Machine Learning, Statistics,and Data Analysis\n* Ability to set and meet your own project objectives & milestones \n* Ability to manage and mentor a team of junior data scientists members \n* Experience in exploratory data analysis, modeling & visualization tools preferably R   and Shiny or Python/Pandas/Scipy/Numpy.\n* Critical thinking and creativity skills. We are looking for individuals who can think of novel ways to analyze data and solve problems \n* Communicate results and progress internally and externally in meetings, presentations, and tech talks\n* Master's (or advanced) degree or equivalent experience in a quantitative field \n* Experience programming in an object oriented language (Java, C++, etc) is a plus\n* Experience in handling and mining large data sets, parallelization and run time   optimization is a plus\n* Prior experience with data mining in education field is a plus \n\n#Salary and compensation\n $1,500,000 — $2,500,000/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
\n\n#Location\nBangalore

Requirements\n\n• Strong background in Machine Learning, Statistics, Information Retrieval, or Graph Analysis\n• Some experience working with large datasets, preferably using tools like Hadoop, MapReduce, Pig, or Hive\n• 3+ years experience in developing high quality software, contributions to open source projects are a plus\n• Experience programming in an object oriented language (Python, Java, C#, C++, etc)\n• Knowledge of scripting languages like Python, familiarity with web frameworks a plus (Django)\n• Ability to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyze data to solve problems\n• Able to learn new data driven products, features, and technologies\n• Ability to plan, set and meet your own project objectives & milestones. \n• Ability to coordinate effectively with team members in engineering, design, and product management \n\n#Salary and compensation\n $150,000 — $210,000/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
\n\n#Location\nAhmedabad

About us: We're a funded team working on a really exciting predictive analytics platform for the film industry. In short we're using big-data to help predict how much a movie will make before it's even been made (check out our site for more info). We've also secured partnerships with some very large market research companies meaning that we have a completely unique and vast data set to play with.\n\nWhat we're looking for: A data scientist or an experienced coder (who could pick up data science skills) with a hackers mentality to join us full time who is interested in the film business and who will also be happy to travel to LA occasionally. We're not interested in how old you are, what your qualifications are, or where you're from; we're only interested in you being able to do a damn good job and being passionate about film!\n\nYou will need to be knowledgable in the following:\n\n- R or Python (in particular it's big data tool sets) or Mathematica\n- PHP\n- Experience with multiple different types of database.\n\nNice to have skills but not essential:\n\n- JavaScript/HTML5\n- Experience writing scraper tools\n- Experience doing twitter sentiment analysis \n\n#Salary and compensation\n $20,000 — $50,000/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
\n\n#Location\nLos Angeles