Remote Analytics + Artificial Intelligence + Scala Jobs

\nAre you inspired by innovation, hard work and a passion for data?    \n\nIf so, this may be the ideal opportunity to leverage your Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of clients.  \n\nAt phData, our proven success has skyrocketed the demand for our services, resulting in quality growth and an expanded presence at our company headquarters conveniently located in Downtown Minneapolis (Fueled Collective).\n\nAs the world’s largest pure-play Big Data, Machine Learning and Data Science services firm, our team includes Apache committers, Machine Learning experts and the most knowledgeable Scala development team in the industry. phData has earned the trust of customers by demonstrating our mastery of Big Data and Machine Learning services and our commitment to excellence.\n\nIn addition to a phenomenal growth and learning opportunity, we offer competitive compensation and excellent perks including base salary, annual bonus, extensive training, paid Cloudera certifications - in addition to generous PTO and employee equity.\n\nAs a Machine Learning Engineer, your responsibilities include: \n\n\n\n\n* Convert proof of concepts to production-grade solutions that can scale for hundreds of thousands of users\n\n\n\n* Create and manage machine learning pipelines on a Hadoop cluster to support any kind of model deployment on streaming or batch data.\n\n\n\n* Tackle challenging problems, such as developing web services and ETL pipeline components, to productize and evaluate machine learning models\n\n\n\n* Write production code and collaborate with Solutions Architects and Data Scientists to implement algorithms in production\n\n\n\n* Design, conduct, and analyze experiments to validate proposed ML modeling approaches as well as improvements to existing ML pipelines\n\n\n\n\n\n\nQualifications\n\n\n* Previous experience as a Software Engineer, Data Engineer or Data Scientist (with hands-on engineering experience)\n\n* Solid programming experience in Python, Java, Scala, or other statically typed programming language\n\n* Hands-on experience in one or more big data ecosystem products/languages such as Spark, Impala, Solr, Kudu, etc\n\n* Experience working with Data Science/Machine Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc.\n\n* Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries\n\n* Excellent communication skills; previous experience working with internal or external customers\n\n* Strong analytical abilities; ability to translate business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access, and consumption, as well as custom analytics\n\n* 4 year Bachelor's Degree in Computer Science or a related field, or equivalent years of professional working experience.\n\n\n\n\nKeywords: Hive, Apache Spark, Java, Apache Kafka, Big Data, Spark, Solution Architecture, Cloudera, Apache Pig, Hadoop, NoSQL, Cloudera Impala, Scala, Python, Data Engineering, Big Data Analytics, Large Scale Data Analysis, ETL, Linux, Kudu, Pandas, TensorFlow, h2o, R, Keras, PyTorch, scikit-learn, Machine Learning, Machine Learning Engineering, Data Science, PySpark, NLP \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, Scala and Apache jobs that are similar:\n\n $80,000 — $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

\nING is looking for a Data Scientist. Location Amsterdam.\n\n\nPassionate about your field of work: Data Science. Key developments in the Data Science area. Experimenting with new algorithms, packages and tools. Think Forward!\n\n\nIs that you? Please read further:\n\n\n* Your willingness to learn not only shows in the technical area, but also how you develop your interpersonal skills. As a creative and curious Data Scientist, you’re looking forward to solve a wide variety of real-world business problems. From your thorough understanding of the latest algorithms and tooling, you’re able to see where ING can further improve using  Big Data. And you have the programming skills to show the value in a pilot/experiment.\n\n* You are experienced in the approach to transform data to added value for customers. You’re always thinking one step ahead, for example in advising about the best way of implementation. You are able to look at things from a different perspective and are entrepreneurial to make original solutions work in real-life.  Next to creative, you are also persistent. If the problem is hard to crack or a technical solution hard to get to work, you keep trying different approaches until it does work.\n\n*  You have solid communication skills that enable you to work together with many different parties throughout our organization. Your enthusiasm and passion is contagious, mobilizing people to capture the tremendous value that Data Science brings to customers of ING.\n\n*  You like working in cross-functional teams to realize an ambitious goal. Asking for help to the other top Data Scientists in the team, but also helping them out by sharing your knowledge and capabilities with them. When needed, you are able and willing to guide junior Data Scientists and interns in their work.\n\n\n\n\nWe only hire people with exceptional talents and capabilities!\n\n\nAs a Data Scientist, you have a deep understanding and experience with:\n\n\n* Machine Learning: Classification, Regression, Clustering, Association Rules, Text Mining. You have an excellent understanding of Random Forests, Neural Networks, Logistic Regression, SVM, KNN, K-Means, LDA, etc.\n\n* Programming Languages: Python, R. Scala is a pre\n\n* Tools: Spark, Hadoop (ecosystem), MapReduce\n\n* Database handling: SQL, Hive. Familiar with Oracle, Netezza, HBase, Cassandra, Graph databases\n\n* Visualisation tools: D3.js, Shiny, Angular\n\n\n\n\nYour background:\n\n\n* MSc or PhD with excellent academic results in the field of Computer Science/Machine Learning and/or Mathematics/Statistics\n\n* Experience in the Predictive Analytics work field\n\n* Fluent in written and spoken English. Although Dutch is a pre, it is not necessary.\n\n* Experience in working in an Agile/Scrum way is a pre\n\n\n\n\nCompetencies and skills:\n\n\n* Analytical and content strength (in DS work field): sees which DS techniques apply to the business problem at hand, able to structure the approach and a good programmer\n\n* Willingness to learn: open to feedback, develops on the technical and the interpersonal level\n\n* Teamplayer: strikes effective balance between independence and acting in the interest of the team\n\n* Perseverance: doesn’t give up when a problem is hard, knows how to deal with set-backs\n\n* Strong communication skills: written and spoken English need to be convincing\n\n* Entrepreneurial: takes up responsibility and makes it happen\n\n* Creative: thinks out of the box\n\n* Enthusiasm: has contagious level of enthusiasm to inspire others to act, based on self-example\n\n\n\n\nWe offer:\n\n\n* Ambition to become the best Data Scientist team (in Banking).\n\n* Real Data Scientist colleagues. Data Diva-like behavior is not our cup of tea.\n\n* Great salary and other terms\n\n* National or Global career possibilities\n\n* Start-up spirit\n\n* Great mix in research, strategic, operational & enterpreneurial assigments.\n\n\n\nIn need of further information or ready to apply?\nCan you identify with this profile? Then apply and become a Data Scientist at ING.  Do you have any questions about this position? Please contact Rob van Elburg, Global  IT Recruiter, via +31-6-20210769 or [email protected] \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, English, Scala and Junior jobs that are similar:\n\n $75,000 — $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