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Senior / Lead Data Scientist
Rystad EnergyNorwayfull_timeVerifiedPosted 28 Aug 2023
About the role
<p><strong>Rystad Energy</strong> is an independent research and business intelligence company, equipping clients with data and insights that power better decision making. The Technology department consists of multiple teams working together to drive our products and as a Data Scientist, you will join a rapidly expanding and ambitious team of data scientists, data engineers and dev-ops engineers who are developing foundational tools, systems, and models to enable Rystad Energy's data-driven products.</p> <p><strong>What you will be doing: </strong></p> <ul> <li>Take on a leadership role as technical expert, driving innovation and mentoring data scientist by leveraging your extensive experience and expertise. </li> <li>Build, scale, iterate, and take ownership of existing data science models and pipelines , leveraging your expertise for optimal and diverse approach usage. </li> <li>Design and implement new data models , incorporating the latest technologies and best practices. </li> <li>Taking a key role in the DS lifecycle of new projects </li> <li>Exploring/staying up to date with new technologies that can improve our tech stack </li> <li>Play a key role in projects involving satellite data, geospatial systems, Weather and aviation </li> <li>Collaborate on roadmap architecture and presenting to decision makers </li> <li>Collaborate with data scientists, analysts to develop and deploy data-driven solutions. </li> <li>Collaborate with Data Engineers, DevOps and others to enhance data reliability and process optimization </li> </ul> <p><strong>What you should have: </strong></p> <ul> <li>Minimum 3+ years of experience within a data science or adjacent field </li> <li>Master's degree or equivalent experience in a data-driven field such as computer science, maths/physics, econometrics; </li> <li>Proficiency in Python</li> <li>Experience with Docker</li> <li>Experience with SQL databases</li> </ul> <ul> <li>Knowledge of applied statistics and machine learning models</li> <li>Solid analytical and problem-solving skills </li> </ul> <ul> <li>Strong communicator, both written and verbal (English), who is able to explain complex concepts and architectures to developers and senior decision makers</li> <li>Team-oriented, collaborative and delivery focused</li> </ul> <p><strong>Great if you have:</strong></p> <ul><li>Experience with distributed cluster-computing (e.g. Spark, Dask, Hadoop)</li></ul> <ul> <li>Experience with cloud deployment (<strong>Azure</strong>, AWS, GCP)</li> <li>Experience working on geospatial problems (i.e. Satellite imagery)</li> <li>Experience in large-scale NLP text analysis (LLM)</li> <li>Proficiency with Graph and or geospatial databases</li> <li>Experience within Agile framework and Kanban approach</li> </ul> <p><strong>We offer: </strong></p> <ul> <li>Ongoing learning opportunities to help you acquire new skills or deepen existing expertise </li> <li>Support, learning and training on skills required to perform your daily routines </li> <li>A flat, non-hierarchical structure that will enable you to impact products and workflows </li> <li>A diverse, inclusive, meritocratic culture </li> <li>Dynamic and international work environment in a growing company </li> </ul> <ul> <li>Opportunity to join a globally leading energy knowledge house </li> <li>Flexible work environment</li> </ul>
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