Do you see how data can be used modeled and visualized in new ways to improve decision making in heavyasset industries Do you enjoy building machinelearning or physicsbased solutions to help operators engineers and business leaders plan and run their processes more efficiently If so you should join Cognite and become a part of the team responsible for delivering Cognites cutting edge industry solutions to our customers!
The data science team at Cognite is responsible for understanding our customers business goals and challenges scoping and building solutions to address these and growing Cognites impact within our customers digital transformation efforts. As a Data Scientist in the team you will work in crossfunctional pods of other data scientists data engineers solution architects and project managers to configure deploy and operationalize digital solutions across the oil and gas renewables/sustainability power & utilities and manufacturing industries. You will work with the customer to understand their desired outcome conduct discovery workshops and advise on possible approaches and potential pitfalls. You will build solutions based on physics models and/or using machine learning techniques build dashboards for visualizing the solutions and scale and deploy solutions in production using Cognites core capabilities. The position will give you a unique opportunity to work with and learn from people with various backgrounds in business software and industry.
This is a hybrid role working out of either our Houston or Austin office so candidates must be local to either of these locations.
Who You Are
3 years industry experience (or an academic background) in the oil and gas manufacturing or Power & Utilities domain building analytical solutions (datadriven and/or simulations) for production optimization and predictive maintenance such as general well monitoring well event predictions (risk identification) production planning flow assurance etc.
1 years experience serving as a domain expert on internal or customer projects
Proficient with Python and its data ecosystem (pandas numpy) ML libraries (scikitlearn keras etc)
Experience in data visualization using PowerBI Grafana Tableau or web development frameworks like Plotly Dash Streamlit etc.
Promoting good software development practices including automated tests and documentation
Experience with Version control (git for example)
Experience contributing code to a large software project
Pragmatic can balance short term and long term tradeoffs
Realistic and credible advisor on machine learning
Excellent communicator internally and with customers; Managing expectations of technical stakeholders at the customer.
Mentoring and quality assurance of juniors work
Cloud experience such as building streaming calculations & models as serverless functions
Deployment to production using provided infrastructure practices
A track record of working in diverse industries
Ready to stay up to date with latest developments in GenAI and using GenAI services to build use cases for customers
Why choose Cognite
Join us in making a real and lasting impact in one of the most exciting and fastestgrowing new software companies in the world.
Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized trustworthy and accessible data to help drive the fullscale digital transformation of assetheavy industries around the world. Our core Industrial DataOps platform Cognite Data Fusion enables industrial data and domain users to collaborate quickly and safely to develop operationalize and scale industrial AI solutions and applications to deliver both profitability and sustainability. Visit us at and follow us on Twitter @CogniteData or LinkedIn:
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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