Principal Data Scientist

Principal Data Scientist


Stavanger, Norway

Are you interested in building great machine learning products that can help Equinor transform into a greener and more competitive energy company?

We are looking for a Senior Data Scientist to join our Data Science team within our Digital Centre of Excellence, as we seek to impact the entire organization with groundbreaking innovations and powerful improvements, alike. This includes transforming how we approach internal, and sometimes external, collaboration models and work practices. Clearly, this is in service of our true goal, which is to establish energy leadership, through innovation and creativity.

Job Description

As part of or leading a small team, you will:

  • Work closely with business stakeholders to identify value and business needs and translate them into concrete problem statements that you and your team can deliver on;
  • Source, wrangle, cleanse and analyze large amounts of data in our cloud-based development and production environment;
  • Rapidly prototype and iterate to build production ready solutions that scale with minimal cost, building on existing internal services or developing new ones;
  • Identify and build the right user experience so that the output of your ML workflows is easily interpretable for and actionable by the business users;
  • Tune your models/architecture efficiently;
  • Embed your ML workflows as part of existing or new Equinor ML products, refactor your code to meet our deployment standards;
  • Improve and develop machine learning models using state-of-the-art techniques within deep learning;
  • Monitor and follow-up your models when in production to ensure good performance & value creation.


  • PhD or Master in Computer Science, Statistics, Applied Mathematics, Engineering or equivalent fields;
  • Experience developing and productizing real-world AI/ML applications such as prediction, personalization, recommendation, optimization and content understanding;
  • Experience in ML/AI product development and iterative work: from data generation/collection to visualization and explainability;
  • Experience working with any of the following machine learning frameworks / libraries: sklearn, tensorflow, keras;
  • Preferred experience within NLP, semantic technologies and graph technology with understanding of fundamental linguistic and grammatical concepts and their use in NLP applications;
  • Preferred experience creating ML workflows on sequences and timeseries with experience in applying signal processing and or spectrum analysis;
  • Preferred experience working with large data sets using open source technologies such as Spark, Hadoop, and Neo4j;
  • Coding skills in Python, experience with containerization and micro-services development;
  • Good communication skills;
  • Relevant experience may compensate for formal qualifications;
  • 5-7 years of relevant experience preferred.

Personal Qualities

To succeed within the data science team, you will need to be motivated by creating impact using ML, be willing to take ownership and responsibility for your work, work autonomously, and have the humility to receive feedback and identify your learning opportunities.

  • You are outcome driven and can handle uncertainty;
  • You are above average curious, driven to ensure that you fully understand the business context of your solution;
  • You believe in fast prototyping, evaluating, changing course when you feel that you are going down a dead end;
  • You have curiosity beyond ML modeling. You are excited about end-to-end aspects of deploying ML models;
  • You are innovative, analytical and base your judgements on data;
  • You take ownership of your learning and development and constantly seek challenging opportunities;
  • Ability to live by our safety and security expectations.

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© EuroJobsites 2020

EuroJobsites is a registered company number: 4694396 VAT number: GB 880 9055 04

Registered address: EuroJobsites Ltd, Unit 8, Kingsmill Business Park, Kingston Upon Thames, London, KT1 3GZ, United Kingdom

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