Rystad Energy

Data Scientist

Sep 07, 2023

Oslo, Oslo, Norway

About Rystad Energy:

Rystad Energy 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.

About the Data & Insights team:

You'll 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.

What you'll be doing:

  • Data Mining, Optimization, Statistical and other problem solving by use of traditional/standard algorithm or ML/AI methods

  • Ensure data integrity and analyze the data with statistical methods

  • Communicate results internally and support product development by creative thinking and exploring other data sources

  • Learning and developing with new technologies that can improve your tech stack

What you should have:

  • Less than 2 years of Data Science experience (Graduated are considered for the role)

  • Master's degree or equivalent experience in a data-driven field such as computer science, mathematics/physics, or econometrics

  • Knowledge of Python or other programming languages (we will work with Python)

  • Knowledge of databases SQL and/or non-SQL

  • Knowledge of applied statistics and machine learning models

  • Knowledge on large data to gather, classify, analyze and synthesize information coming from multiple sources

  • Solid analytical and problem-solving skills

  • Strong communicator, both written and verbal (English), who is able to explain complex concepts and architectures to developers and senior decision makers

  • Team-oriented and collaborative

  • Curious and with "can-do" attitude

  • Love to code, with attention to detail

Great if you have:

  • Experience with data enhancements or insights from AIS and or satellite data (e.g. YOLO, NN)

  • Knowledge with Geospatial analysis and ML techniques

  • Knowledge with AIS and or satellite data structure

  • Knowledge with cloud deployment (e.g. Azure)

  • Knowledge of cluster-computing (e.g. Spark)

  • Knowledge of Agile workflow

What we Offer:

  • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise

  • Exposing you outside your comfort zone for maximizing growth and learning

  • Support, learning and training on all skills required to perform your daily routines 

  • A flat, non-hierarchical structure that will enable you to impact products and workflows

  • A diverse, inclusive, meritocratic culture

  • Dynamic and international work environment in a growing company

  • Opportunity to join a globally leading energy knowledge house

  • Flexible work environment

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