Lead Data Scientist driving ML and data science initiatives for advertising technology at Disney. Collaborating with a team to enhance ad decisioning and user experience optimization with generative AI.
About the role
- Data Scientist at Cognite driving data-driven solutions in industrial sectors like Oil and Gas and Manufacturing. Collaborating with a cross-functional team to deploy AI and data solutions.
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 intensive use case generation workshops with Subject Matter Experts (SMEs) to understand the problem, industry domain knowledge, 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.
- Develop robust front-end User Interfaces (UIs) and dashboards using Streamlit, Grafana, Power BI, Plotly or Dash.
- Leverage strong understanding of solution architecture to ensure deployed solutions are flexible, scalable, and fully integrated into the client's industrial landscape.
- 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.
Requirements
- Bachelor/Master of Science in a quantitative field or mechanical, systems, electrical, or industrial engineering.
- 2+ years of full-time work experience as a data scientist (preferably within related industry), or data scientist with domain expertise in Oil and Gas or Maintenance or Manufacturing is required.
- Proficient experience with Python and SQL.
- Experience with machine learning methods and techniques, statistics and/or optimization as well as physics based modeling.
- Experience with Git.
- Experience working customer-faced, with external customers.
- Front-end development experience with frameworks such as React or native knowledge of UI platforms like Streamlit/Dash is highly desired.
- Understanding of solution architecture, system design, and deployment best practices in a cloud environment.
- Experience with managed cloud services such as GCP, Azure or AWS is a plus.
- Strong domain knowledge or a good understanding of Industry and Asset Performance Management—covering areas like production optimization—is a big 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.
Benefits
- Competitive compensation
- 401(k) with employer matching
- Competitive health, dental, vision & disability coverages for employees and all dependents
- Unlimited PTO
- Paid Parental Leave Program
- Employee Referral Program
- Paid mobile phone and WiFI
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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