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