Senior Data Scientist

Cognite is hiring a Senior Data Scientist . Level rates it ; you can apply on Cognite.

Level's read on this job

On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
The posting mentions AI agents among its tools and skills.
Level classes it as a senior role.
Cognite has 53 other open roles on Level.

AI in this role

ai-agents

What Cognite is: Relentless to achieve

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve 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.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.

Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.

About the role

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 operationalising digital solutions in sectors such as Oil & Gas, Power & Utilities, and Manufacturing.

Additionally, you will engage with clients to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles. The data science team is a part of the MENA delivery team in our global delivery organisation. We are a good mix of project managers, data scientists, data engineers and solution architects with domain expertise from oil and gas, power & utilities and manufacturing.

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.

The Impact you bring to Cognite

A typical day as a Cogniter will contain the following tasks & responsibilities:

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 and contribute to intensive use case generation workshops with subject matter experts to understand the problem and how it maps to the data
Perform data cleansing, exploratory data analysis and data modelling.
Implement physical models / machine learning models in Python and deploy to our model hosting environment
Work on an agentic AI solution to solve customers' use cases.
Utilize and contribute to solution templates and best practices within the Data Science team
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

We believe most of these should match your experience

Bachelor of Technology/Engineering or Master of Science in a quantitative field or mechanical, computer science, electrical or similar.
6- 10 years of work experience as a data scientist (preferably within related industry) or data scientist with domain expertise in Oil and Gas or Maintenance
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 optimisation
Must have experience with Agentic AI solutions.
Experience with GIT
Experience working customer-facing with external customers
Experience with managed cloud services such as GCP, Azure or AWS is a plus
Domain knowledge or a good understanding of the Oil and Gas industry is a plus.
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

Learn more about us

Impact 2025
Cognite's Industrial AI: Moonshot
We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

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.

How we rate this

Senior Data Scientist at Cognite rates 82 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Scientist is an open job at Cognite.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in India (Bengaluru).
The job was posted on July 29, 2026.
Seniority: senior.
Applications are handled by Cognite. Apply on Cognite

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agents

Also common in data scientist jobs at this level

LLM Generative AI Spark Deep learning PyTorch NLP

Pay

Typical data scientist job: $166k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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