Cognite
Industrial Digitalization
SeniorDataScientist
“Senior Data Scientist at Cognite. Skills: Data Science, Machine Learning, Python, SQL, Client Engagement, Deployment. Building data-driven solutions. Configuring, deploying, and operationalizing digital solutions”
What You'll Achieve.
Unlock $100B in customer value by 2035; Redefine how global industry works; Drive operational improvements; Enable our customers to achieve the full potential of our industrial dataops platform
Industry & Context.
Solve the world’s hardest, highest-impact problems; Solve their problems related to i. e production optimization
What They're Looking For.
Must Have
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, Proficient experience with Python, Proficient experience with SQL, Experience with machine learning methods and techniques, Experience with statistics, Experience with optimisation, Experience with Git
Nice to Have
Data scientist with domain expertise in Energy & Oil and Gas or Maintenance or Manufacturing, Experience with Python in a production setting, Experience with managed cloud services such as GCP, Azure or AWS, Domain knowledge or a good understanding of the Oil and Gas industry, Asset Performance Management - covering i. e production optimization
What You'll Do.
Building data-driven solutions
and operationalizing digital solutions
Engaging with clients to understand their desired outcomes
Leading discovery workshops
Providing insights on potential strategies and obstacles
Develop and deploy scalable solutions for customer use cases
Participate in intensive use case generation workshops
Perform data cleansing and exploratory data analysis
Implement physical models / machine learning models in Python
Deploy models to our model hosting environment
Apply GenAI techniques
Utilize and contribute to solution templates and best practices
Mentoring and coaching junior team members
Support customers and partners in conducting data science tasks
How You'll Work.
Team & Collaboration
Work on challenging data-problems with leaders in the industry; Be a part of cross-functional teams that include data engineers, solution architects, and project managers; Collaborate with data engineers, project managers and solution architects on project deliveries
Communication Scope
Engage with clients to understand their desired outcomes; Provide insights on potential strategies and obstacles
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