Senior Data Scientist
Driving AI innovation and advanced analytics to transform energy operations
Partner with the best
Baker Hughes is a global energy technology company serving customers in more than 120 countries. We combine advanced technologies, data, and domain expertise to help our customers improve operational performance, reliability, and sustainability across the energy value chain.
We are seeking a Senior Data Scientist to join our growing AI and Data Science team. In this role, you will leverage advanced analytics, machine learning, and artificial intelligence to solve complex business challenges and create scalable solutions that deliver measurable value. You will collaborate closely with business leaders, engineers, and technical experts to drive innovation and support critical operational decisions across our global operations.
Fuel your passion
As a Senior Data Scientist, you will play a key role in identifying opportunities where AI can generate meaningful business impact. You will lead the development and deployment of advanced analytics solutions, helping transform data into actionable insights that improve operational efficiency, asset reliability, forecasting accuracy, and overall business performance.
As a Senior Data Scientist, you will be responsible for:
Developing and deploying advanced AI and machine learning solutions that address real-world operational challenges.
Partnering with business and technical stakeholders to identify opportunities for innovation and data-driven decision making.
Building predictive models, optimization solutions, anomaly detection tools, and generative AI applications.
Leading projects throughout the entire analytics lifecycle, from problem definition and solution design to implementation and ongoing monitoring.
Evaluating emerging AI technologies and recommending innovative approaches that enhance business outcomes.
Collaborating with cross-functional teams to ensure secure, scalable, and sustainable solutions.
Applying advanced statistical and machine learning techniques to improve operational performance and reliability.
Supporting best practices for model governance, deployment, and lifecycle management.
To be successful in this role, you will need:
A Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related field.
At least 5 years of experience in Data Science, Machine Learning, or Advanced Analytics.
Proven experience delivering AI or machine learning solutions in production environments.
Experience managing analytics initiatives from concept through implementation.
Strong ability to communicate technical concepts to both technical and non-technical audiences.
Strong programming skills in Python and SQL.
Experience working with cloud technologies such as AWS and/or Azure.
Expertise in machine learning, forecasting, statistical modeling, optimization, and data-driven problem solving.
Work in a way that works for you
We recognize that innovation thrives when people are empowered to collaborate, learn, and contribute their best ideas. We support flexible ways of working while fostering strong connections across teams, functions, and regions.
Working with us
Our people are at the heart of everything we do. We are committed to creating an inclusive environment where employees can grow their careers, expand their expertise, and help shape the future of energy technology.
Working for you
We recognize and reward the contributions of our employees by offering:
Flexible work arrangements and well-being programs
Comprehensive medical coverage
Life insurance and disability protection
Tailored financial and retirement programs
Professional development and continuous learning opportunities
Additional voluntary benefits and employee support programs
Skills Required
- Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related field
- At least 5 years of experience in Data Science, Machine Learning, or Advanced Analytics
- Experience delivering AI or machine learning solutions in production environments
- Experience managing analytics initiatives from concept through implementation
- Ability to communicate technical concepts to technical and non-technical audiences
- Strong programming skills in Python and SQL
- Experience with cloud technologies such as AWS and/or Azure
- Expertise in machine learning, forecasting, statistical modeling, optimization, and data-driven problem solving
Baker Hughes Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Baker Hughes and has not been reviewed or approved by Baker Hughes.
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Retirement Support — Feedback suggests retirement contributions combine automatic employer funding with a dollar‑for‑dollar match, with immediate vesting on the match. This structure can meaningfully increase savings for employees who participate consistently.
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Equity Value & Accessibility — Feedback suggests a discounted employee stock purchase program with regular purchase periods and no brokerage fees provides accessible ownership upside. Program parameters are clearly laid out through the benefits hub and plan materials.
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Leave & Time Off Breadth — Feedback suggests exempt staff have flexible, manager‑approved time off while non‑exempt employees accrue vacation and receive paid personal time. Company‑paid holidays and paid parental leave further broaden time‑away options.
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