\nInformation Engineer\n\nAt Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to real time Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. The Elastic family unites employees across 30+ countries into one coherent team, while the broader community spans across over 100 countries.\n\nMachine Learning at Elastic \n\nMachine Learning (ML) for the Elastic Stack allows users to better understand the behavior of their data. We have developed an unsupervised machine learning engine that can plow through large amounts of data and automatically find those insights our users today have been proactively finding using search. Current use cases include finding anomalies within transactions / operational metrics, detecting uncharacteristic user behavior or finding malicious devices.\n\nTo help us further expand our capabilities we are looking fo an exceptional individual who can support us in our insatiable appetite for data. This is an amazing opportunity to join a small, highly experienced team where you can make an immediate impact and contribution to the development of our new machine learning offerings.\n\nWhat you will be doing\n\nTo support data driven development of engineering features by becoming a super-user of our ML tool set, by making meaningful data accessible to engineers and in helping to maintain and improve the quality of results. Responsibilities will include:\n\n\n* Curate and extend data library - develop, acquire and catalog datasets representative of core customer use cases\n\n* Perform data analysis on complex datasets and clearly describe and communicate findings to peers\n\n* Develop ML job configs for known uses cases\n\n* Develop standardized labeling techniques for datasets in our catalog. For example, known outliers or anomalies (unsupervised), or output labels (supervised).\n\n* Build statistical robustness tests for machine learning models against an ever growing data catalog\n\n* Follow GDPR policies, security and data license requirements where applicable\n\n\n\n\nYour background\n\n\n* Highly numerate with education background in Mathematics, Computer Science, Information/Library science, Physics, Engineering or similar\n\n* Solid industry experience working with data; for example as a data analyst, software-, QA engineer or similar\n\n\n\n\nWhat you will bring\n\n\n* A proven ability to work with large amounts of data (at least 2 years)\n\n* Able to work as part of a distributed team, having strong collaboration and communication skills\n\n* Detail oriented with a librarian-like approach to organization\n\n* Able to analyse real-world datasets and extract insights according to customer use case\n\n* Knowledge, interest and a real passion for topics in big data, machine learning, data mining and statistical analysis\n\n\n\n\nExperience required in some or all of these areas\n\n\n* Software engineering (Python, Java, C++)\n\n* Statistical packages and tools (e.g. R, SAS, Octave, MATLAB etc)\n\n* Visualization technologies\n\n* NoSQL or relational databases\n\n\n\n\nAdditional Information: \n\nWe're looking to hire team members invested in realizing the goal of making real-time data exploration easy and available to anyone. As a distributed company, we believe that diversity drives our vibe! Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life.\n\n\n* Competitive pay based on the work you do here and not your previous salary\n\n* Stock options\n\n* Global minimum of 16 weeks of paid in full parental leave (moms & dads)\n\n* Generous vacation time and one week of volunteer time off\n\n* Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.\n\n\n\n\n#LI-MD1\n\nElastic is an Equal Employment employer committed to the principles of equal employment opportunity and affirmative action for all applicants and employees. Applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. Elastic also makes reasonable accommodations for disabled employees consistent with applicable law. \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, Education and Apache 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

\nWith local presence in 150 countries, north of 30 billion SEK in annual turnover and more than one Terabyte of machine data generated every second, Sandvik Machining Solutions is a world leader in engineering solutions the manufacturing industry. With its brand recognition and global reach, Sandvik aspires to help its 250 000 industrial customers embrace digital transformation, at scale, globally. To do so, it created CODE.\n\nCODE is a new, bold take on industrial digitization, tasked with the mission to design, build and deploy innovative, digital-first solutions to help solve the most important challenges Sandvik’s customers face across all of manufacturing. CODE is uniquely positioned to combine Sandvik’s deep industrial expertise with cutting-edge advances in machine learning, artificial intelligence and digital user experiences to create compelling, customer centric solutions to big problems.\n\nJob description\n\nWe’re looking for a senior data scientist to join us at Sandvik CODE as we strive toward shaping the way industrial companies take on digital transformation. Together with a dynamic team of experienced product managers, designers and engineers, you will work in close collaboration with our customers – all over the world – to identify, prototype and build compelling and purposeful use cases through machine learning, artificial intelligence and data mining.\n\nAs a team, we are deeply committed to transform the way Sandvik approaches digital solutions to hard problems. We view integrity, openness and accountability as cornerstones to our ability to deliver value in both the short and long term. Our operational model is rooted in design thinking, and we work closely with customers, partners and internal Sandvik teams to ideate, prototype and iterate concepts at a rapid pace. We exponentially scale only the solutions we can prove to drive substantial value creation for our customers. Nothing else matters.\n\nResponsibilities\n\n\n* Work with our executives, product managers, engineers and designers to identify and map out the most purposeful use cases for data science, machine learning and artificial intelligence inside Sandvik Machining Solutions\n\n* Work with Sandvik’s engineering teams to design and develop conceptual models and derive best practices for integrating data science into existing and new products and services\n\n* Prototype, validate and iterate data science-driven use cases across all of Sandvik’s strategic focus areas, including additive manufacturing (3D printing), metal cutting, logistics and planning, and cross-team collaboration\n\n\n\n\nSkills & Qualifications\n\nRequired\n\n\n* MSc. or PhD in Computer Science, Mathematics, Electrical Engineering or equivalent field\n\n* Strong, fundamental understanding of probability theory, signal processing and time series analysis, multinomial regression models and multi-class classification models\n\n* At least 4 years of experience designing, building and deploying data science solutions in a professional environment\n\n* Extensive experience producing production grade solutions using programming languages and frameworks for scientific computing, such as Python, R, Scala, Matlab or equivalent\n\n* Extensive experience in packaging, organizing and documenting data science-based solutions to enable integrations with external software systems\n\n* Extensive Experience working with machine learning frameworks such as Theano, Torch, Caffe, TensorFlow or equivalent\n\n* Experience working with visualization tools such as Matplotlib (Python), Zeppelin (Spark), or GGPlot2 (R) or equivalent\n\n* Extensive Experience working with relational databases, such as PostgreSQL and NoSQL databases, such as Apache Cassandra or equivalent\n\n* Experience with large, distributed file systems and data stores, such as Hadoop HDFS or equivalent\n\n\n\n\nPreferred\n\n\n* Experience working with web-based visualization tools such as D3.js or dygraphs\n\n* Experience working with Apache Spark and its related technologies, including SparkSQL and DataFrames\n\n* Familiarity with real-time streaming brokers, such as Kafka\n\n* Familiarity with graph databases, such as Neo4j, and their applications\n\n\n\n\nWe are a company with an open-minded culture, actively working to create a workplace that is characterized by diversity and inclusion. As our team at Sandvik CODE are truly international, we expect you to have excellent communication skills in English.\n\nBenefits of working for Sandvik in Stockholm, Sweden\n\n\n* 5-6 weeks’ paid vacation.\n\n* Flexible working hours.\n\n* Company pension scheme.\n\n* Paid Parental Leave after 1 years’ employment.\n\n* Performance-related bonus scheme.\n\n* Pay for your Stockholm subway travel card through monthly salary deduction.\n\n* After 1 years’ employment, you can choose between 3 days’ extra vacation, an additional annual pension contribution or a lump sum paid out simultaneously with your regular monthly salary.\n\n* Work in a world class innovation environment in the heart of Stockholm.\n\n* Subsidized healthcare and life insurance.\n\n* Subsidized gym membership.\n\n* Social Activities – socialize with other Sandvik employees through theme nights, activities and days out.\n\n\n\n\nContact information\n\nFor further information about this position, please contact:\nHugo Nordell, Recruiting Manager, +46 (0)26 266 242\n\nUnion contacts\n\nThomas Lilja, Unionen, +46 (0)70 261 04 82\nAnna Åkesson, Akademikerföreningen, +46 (0)70 642 83 29\n\nAs we have an ongoing selection process for this position, we’d like you to send us your application as soon as possible. Please showcase your skills by adding your StackOverflow or GitHub profile in your application.\n\nRecruitment Specialist\nRenée Nordström \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Developer, Digital Nomad, NoSQL, Travel, Senior, Apache, Cassandra 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