About the Role
The company operates at the forefront of industrial digitalization, building AI and data solutions that solve the world’s hardest, highest-impact problems. As a Senior Data Scientist, you will be a pivotal part of a dynamic Data Science team that builds data-driven solutions, empowering clients to make impactful business decisions across various sectors, including Oil and Gas, Power & Utilities, and Manufacturing. You will engage with clients to understand their desired outcomes and lead discovery workshops, providing insights on potential strategies and obstacles.
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Responsibilities
- Develop and deploy scalable solutions for customer use cases in Oil and Gas, Manufacturing, and Power & Utilities using the company’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 the 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.
- Mentor and coach junior team members.
- Collaborate with data engineers, project managers, and solution architects on project deliveries.
- Support customers and partners in conducting data science tasks with the company products.
Requirements
- 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, preferably within related industries, or a data scientist with domain expertise in Energy & Oil and Gas, 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 optimization.
- Experience with Git.
- Experience working with external customers.
- Familiarity 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, particularly Asset Performance Management and production optimization, is a significant advantage.
- Must enjoy working in cross-functional teams and be capable of delivering independently while coaching and mentoring others internally.
- Must enjoy challenges and set ambitious goals that drive innovation and have the humility to ask for help and share knowledge with others.
Benefits
- Engage in challenging projects with leaders in the industry.
- Opportunities for professional growth and mentoring within a collaborative team environment.
- Work for an organization with a bold mission to unlock $100B in customer value by 2035, reimagining how global industry functions.
- Be part of a company that values diverse and inclusive work environments.
