Data Scientist – Time-series AI Team

at  Equinor

JOB DESCRIPTION

We’re 23,000 colleagues in more than 30 countries delivering oil, gas, wind and solar power to 170 million people worldwide. Taking on tough energy challenges is our job. Right now, we’re facing an enormous task: supplying the world with the energy it needs, while lowering emissions.
We’re up for the challenge. Are you?

THE POSITION

By joining our team in Technology, Digital & Innovation you will have the opportunity to:

• Collaborate with stakeholders to define clear objectives and solve complex problems.
• Manage and analyse vast data sets within our cloud ecosystem.
• Develop scalable AI solutions, leveraging existing services or innovating new ones.
• Integrate ML workflows into our suite of products, adhering to deployment standards.
• Advance our ML models with the latest deep learning techniques.
• Ensure our models perform optimally in production, delivering continuous value.

We are looking for an experienced and passionate Machine Learning Engineer / Data Scientist to join our Time-series AI team and contribute to our mission of delivering excellence. The team is one of several teams in our central Design, Software and Data Science (DSD) unit within Technology Digital and Innovation (TDI). We specialize in processing and interpreting time-series data for various applications across Equinor and create and deliver innovative AI products that generate significant business value.

YOU

Some qualities are essential for Equinor. You identify with our values, open, collaborative, courageous and caring, which guide our decisions and help us succeed and grow. You make safety your priority and contribute to our zero-harm culture. For this position, we are also looking for:

• Bachelor’s, Master’s or PhD Degree in Computer Science, Statistics, Applied Mathematics, Engineering or equivalent fields.
• 3+ years of experience in ML/AI product development and iterative work; from data generation/collection to visualisation and explainability.
• Experience working with any of the following machine learning frameworks/libraries: sklearn, tensorflow, keras, pytorch, numpy, scipy.
• Coding skills in Python, experience with containerisation and micro-services development.
• Knowledge/experience developing real-world Artificial Intelligence/Machine Learning (AI/ML) applications such as prediction, personalisation, recommendation, optimisation and content understanding.
• Knowledge/experience in creating ML workflows on sequences and timeseries with experience in applying signal processing and/or spectrum analysis is desirable.
• Fluency in English, both written and oral.

Please refer the Job description for details