Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.

What Cognite is Relentless to achieve

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you’ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.

How you’ll demonstrate Ownership

The Senior Data Science team at Cognite plays a crucial role in building data-driven solutions that empower our clients to make impactful business decisions. As a Senior Data Scientist at Cognite, you will work on challenging data problems with leaders in the industry. You will be a part of cross-functional teams that include data engineers, solution architects, and project managers. Together, your focus will be on configuring, deploying, and operationalizing digital solutions in sectors such as Oil and Gas, Power & Utilities, and Manufacturing.

Additionally, you will engage with clients and Subject Matter Experts (SMEs) to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles, ensuring the technical solution aligns with industrial reality.

The Data Science team is a part of the AMER delivery team in our Global Delivery organization. Global Delivery is truly global, with offices in Houston & Phoenix (USA), Tokyo (Japan), Oslo (Norway), and Bengaluru (India). We are a good mix of Project Managers, Senior Data Scientists, Data Engineers, and Solution Architects with deep domain expertise. We are responsible for delivering successful projects that are flexible and scalable, and foster adoption of our product. In sum, we derive valuable insights from previously hidden data, enabling workers and leaders to transform how heavy asset industries operate to become more efficient and sustainable.

As a Senior Data Scientist you are responsible for the following, but not limited to:

Develop and deploy scalable solutions for customer use cases from Oil and Gas, Manufacturing, and Power & Utilities industries using Cognite’s core capabilities.
Participate in intensive use case generation workshops with Subject Matter Experts (SMEs) to understand the problem, industry domain knowledge, and how it maps to the data.
Perform data cleansing and exploratory data analysis.
Implement physical models / machine learning models in Python and deploy to our model hosting environment.
Design and develop domain-specific information and data models.
Apply GenAI techniques to enhance data-driven decision-making in customer use cases.
Develop robust front-end User Interfaces (UIs) and dashboards using Streamlit, Grafana, Power BI, Plotly or Dash. Experience with React for bespoke UI development is a plus.
Leverage strong understanding of solution architecture to ensure deployed solutions are flexible, scalable, and fully integrated into the client's industrial landscape.
Utilize and contribute to solution templates and best practices within the Data Science team.
Mentoring and coaching junior team members is an important part of being a Senior at Cognite.
Collaborate with data engineers, project managers, and solution architects on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform.
Support customers and partners in conducting data science tasks with Cognite products.

The Impact you bring to Cognite

We Believe Most Of These Should Match Your Experience

Bachelor/Master of Science in a quantitative field or mechanical, systems, electrical, or industrial engineering.
5+ years of full-time work experience as a Senior Data Scientist (preferably within related industry), or Senior Data Scientist with domain expertise in Oil and Gas or Manufacturing.
Proficient experience with Python and SQL. Experience with Python in a production setting is a plus.
Experience with machine learning methods and techniques, statistics and/or optimization as well as physics based modeling.
Experience with Git.
Experience working customer-faced, with external customers.
Front-end development experience with frameworks such as React or native knowledge of UI platforms like Streamlit/Dash is highly desired.
Understanding of solution architecture, system design, and deployment best practices in a cloud environment.
Experience with managed cloud services such as GCP, Azure or AWS is a plus.
Strong domain knowledge or a good understanding of Industry and Asset Performance Management—covering areas like production optimization—is a big plus. (As key CDF advisors, we want our Senior Data Scientists to have a good understanding of our customer data, and assist them in understanding how CDF can help solve their problems related to production optimization).
Enjoy working in cross-functional teams.
Able to deliver independently, coach and mentor others internally.
Enjoy challenges and dare to set ambitious goals that drive innovation.
Humility to ask for help and enjoy sharing knowledge with others.

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

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