Senior Data Scientist

Cognite

Abu Dhabi

On-site

AED 300,000 - 520,000

Full time

4 days ago
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Job summary

Cognite is seeking a Senior Data Scientist in Abu Dhabi to join our Data Science team and tackle data‑driven challenges across Oil & Gas, Power & Utilities, and Manufacturing. You will work with data engineers, solution architects, and project managers to configure, deploy and operationalize digital solutions that deliver measurable business impact.

You will mentor junior colleagues, lead discovery workshops with clients, and leverage Python, SQL, and cloud services to implement models and

Qualifications

  • Master of Science in a quantitative field (data science, engineering or similar).
  • 5+ years of full‑time work experience as a data scientist, ideally in energy/industrial domains.
  • Proficient Python and SQL; production experience is a plus.
  • Experience with ML methods, statistics and/or optimization.
  • Experience with Git and cloud services (GCP/AWS/Azure) is a plus.

Responsibilities

  • Develop and deploy scalable data‑driven solutions for Oil & Gas, Power & Utilities, and Manufacturing sectors.
  • Perform data cleansing and exploratory data analysis to inform decisions.
  • Implement physical models / machine learning models in Python and deploy to hosting environment.
  • Apply GenAI techniques to enhance data‑driven decision making.
  • Build dashboards in Grafana, Power BI, Plotly or Dash for visualization.
  • Mentor and coach junior team members and collaborate with cross‑functional teams on deliveries.

Skills

Python
SQL
Machine Learning
Data Visualization

Education

Master of Science in a quantitative field

Tools

Git
GCP
Azure
AWS

Job description

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.

How you’ll demonstrate Ownership

The 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 to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles.

  • 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 to understand the problem 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
  • Apply GenAI techniques to enhance data‑driven decision‑making in customer use cases
  • Build dashboards in Grafana, Power BI, Plotly or Dash for visualizing the solutions
  • 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
  • Master of Science in a quantitative field or mechanical - , systems - electrical - or industrial engineering
  • 5+ years of full‑time work experience as a data scientist (prefarbly within related industry), or data scientist with domain expertise in Energy & Oil and Gas or Maintenance 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 optimisation
  • Experience with Git
  • Experience working customer faced, 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 Asset Performance Management - covering i.e production optimization is a big plus. (As key CDF advisors, we want out Data Scientist to have a good understanding of our customer data, and assist them in understanding how CDF can help solve their problems related to i.e 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
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.

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