**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 (#RMjE2LjczLjIxNi4yNDM=). 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

\nSoftware developer with strong academic background, problem solving skills and industrial experience. Interested in Computer Vision, Machine Learning and Natural Language Processing.\n\n\nResponsibilities/Duties\n\n\n* Make major contribution to the implementation of our real time big data initiative\n\n* Build and automate productized data processing pipelines in AWS big data platform\n\n* Help improve our development process and standards through mentoring and leading-by-example\n\n* Help define and implement data ingestion contracts\n\n* Create data environment to support our data analytics, reporting and data science teams\n\n\n\n\nKnowledge, Skills and Abilities: \n\n\n* In-depth understanding of modern big data technology, including Hadoop and Spark.\n\n* Knowledge of real time data streaming and aggregation architectural patterns and practice\n\n* Proficient in programming languages such as Python, Scala and Java\n\n* Familiarity with SQL as well as SQL databases\n\n* Data modeling and machine learning skill is a plus\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 and Scala jobs that are similar:\n\n $85,000 — $132,500/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

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

\nAbout Us:\nCrowdFlower is changing the way work gets done, and we want you to help us make it happen.\nWere building a platform that makes it easy for data scientists to enrich their data by distributing work to an on-demand workforce located around the world. In addition to being an integral player in the red hot data science, machine learning and big data fields, we also provide critically needed work and income to millions of micro-tasking workers around the world. Everything our engineers do has real and tangible impact, everyday.\nWe need smart, innovative people to help us build scalable, resilient and responsive systems, working with our exceptional team in San Franciscos Mission District. You can look forward to working with a dynamic, growing company in a casual and fun environment with an opportunity to make an impact at all levels of the business.\nLearn more about our engineering culture at http://www.crowdflower.com/careers/engineering.\nThe Job:\nWhen we say Full Stack Engineer, we're looking for someone that is comfortable building custom UI/UX as well as defining API endpoints for the UI to communicate with. In terms of MVC, the position looks like: 5% M, 75% V, and 20% C. The primary tools you'll employ are Rails and jQuery. You like to work with different technologies and are passionate about constantly learning new things. You take pride in designing elegant, simple solutions to challenging problems, creating quality software components and promoting best practices for agile software development. You will help us ensure we continue to evolve and keep our edge as a world­-class development team. \nResponsibilities:\n* Distilling complex requirements into simple interfaces.\n* Defining the future of CrowdFlower's platform.\n* Building new products that use the core CrowdFlower platform.\n* Improve the interface that tens of thousands of CrowdFlower contributors and clients use everyday.\n* Take pride and ownership in your work and encourage others to do the same\n* Promote best practices for writing maintainable, well­-tested code\n\n\nMust Haves:\n* 3+ yrs experience on at least one significant production-level web app in Rails.\n* Experience in multiple programming languages (we primarily use Ruby and JavaScript).\n* A solid command of JavaScript. When something breaks, you either know exactly why it broke, or can find out easily.\n* The ability to design new interfaces - thinking up a creative solution and being able to implement it effectively.\n\n\nExperience with these would be definite assets:\n* Client-side MVC - React and/or Backbone\n* Jasmine/TDD experience\n* An opinion about Web Components/ES6\n* Git skills and GitHub repos full of cool stuff you've hacked on\n* A great design aesthetic\n* PostgreSql, JQuery, Redis\n* AWS, Jira, Confluence.\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, Scala, Ruby, API, Admin, Machine Learning, Data Science, jQuery, Engineer, Sys Admin, Full Stack, Design 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

\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

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

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

Aponia is seeking an enthusiastic, educated, engaging and problem-solving Data Scientist to join our team.\n\nWe are creating innovative solutions that rely on predictive modeling and big data analytics. We need your expertise in machine learning and data mining to help us design data sciences at scale – applying modern algorithms to massive datasets and creating measurable business value.\n\nThe Data Scientist will interact with clients on a regular basis - and is expected to be proactive, efficient, and intellectually curious - in order to best serve the clients' needs.\n\nResponsibilities\n- Analyze and model structured and semi-structured data using advanced statistical methods, algorithms and software needed to perform analyses\n- Cluster user generated content and process data in large-scale environments\n- Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods\n- Drive client engagements focused on Big Data and advanced Business Analytics; Communicate results and educate others through reports and presentations\n\nQualifications:\n- Curious, creative, collaborative, driven\n- Ph.D or Masters degree in a quantitative discipline preferred\n- Subject matter expertise in one or more industry verticals\n- Track record of successful implementations of quantitative modeling products\n- Experience in data mining, data analysis, data visualization and modeling of large complex datasets\n- Understanding of statistical modeling and machine learning in a practical context\n- Understanding of algorithms, scalability and various tradeoffs in a Big Data setting\n- Data analysis tools and technology experience (SQL, R, JSON, GeoGJSON, Lucene).\n- Proficiency in at least one programming language\n- Knowledge of computer science fundamentals\n- Excellent communication and collaboration skills \n\n#Salary and compensation\n $60,000 — $90,000/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\nNew York City