Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
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 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, Energy, 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 EMEA delivery team in our Global Delivery organization. Global Delivery is truly global, with offices in Oslo (Norway), Austin & Houston (Texas, USA) and Tokyo (Japan). We are a good mix of Project Managers, Data Scientists, Data Engineers, Solution Architects with domain expertise from Oil and Gas, Energy, 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.
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 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
Design and develop domain specific information and data models
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 coach junior team members
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/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 Oil and Gas, Energy 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
Don’t meet every single requirement? We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
A snapshot of our many perks and benefits as a Cogniter
* Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
* A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
* Flat structure with direct access to decision-makers, with minimal amount of bureaucracy
* Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
* Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions -
We encourage you to follow us on Cognite LinkedIn; we post all our openings there.
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; everyone we hire will receive the same level of consideration for training, compensation, and promotion.
We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.
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