Senior Data Scientist
Are you a passionate Data Scientist interested in working in the oil and gas sector? Are you seeking a challenging opportunity for career growth?
Baker Hughes is a leading global energy‑technology company with more than 120 countries of operation. We blend industrial expertise with advanced engineering and digital technologies to support energy production, transformation, and decarbonization.
Responsibilities
- Develop 2D and 3D image‑processing, computer‑vision, and measurement algorithms to support remote visual inspection systems.
- Lead and contribute to lower‑TRL technical development (TRL 3‑6), including feasibility studies, algorithm prototyping, and performance characterization.
- Apply systems‑engineering principles to ensure algorithms integrate effectively into larger inspection systems and workflows.
- Work with software engineers to transition algorithms into deployable, production‑ready solutions.
- Perform exploratory, targeted, and validation data analysis using appropriate statistical and analytical methods.
- Collaborate with data and software engineers on data quality assessment, data preparation, and algorithm validation.
- Plan and manage your own technical tasks and project work, balancing multiple priorities with limited oversight.
- Generate technical documentation, reports, and annotated code to document development work and results.
- Communicate results, trade‑offs, and recommendations clearly to technical teams, product leadership, and customers.
- Engage directly with internal and external customers to understand use cases, constraints, and performance needs.
Qualifications
- BA in Mathematics, Physics, Computer Science, Engineering, or a related STEM field (MS preferred).
- 5+ years of professional experience in data science, applied mathematics, image processing, or related technical roles.
- Experience developing and validating algorithms intended for real‑world engineering systems.
- Strong fundamentals in applied mathematics, statistics, and algorithm development.
- Proficiency in one or more programming or analytical languages (Python, C++, MATLAB, R).
- Experience with 2D/3D image processing, computer vision, or measurement algorithms.
- Demonstrated ability to work across research and applied engineering environments.
- Ability to translate ambiguous customer or system needs into clear technical approaches.
- Experience working across teams and disciplines in a product‑oriented environment.
- Aware of data management, version control, and reproducible development practices.
- Aware of real‑time or near‑real‑time analytics and algorithm deployment constraints.
- Familiarity with system‑level performance considerations (accuracy, latency, robustness).
Flexible Working
We offer flexible working patterns but encourage teams to be co‑located in one of our many UK offices.
Benefits
- Contemporary work‑life balance policies and wellbeing activities.
- Comprehensive private medical care options.
- Life insurance and disability programs.
- Tailored financial programs.
- Additional elected or voluntary benefits.
The Baker Hughes internal title for this role is: Digital Technology Specialist – Data Science.
We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law.
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Are you a passionate Data Scientist interested in working in the oil and gas sector? Are you seeking a challenging opportunity for career growth?
Baker Hughes is a leading global energy‑technology company with more than 120 countries of operation. We blend industrial expertise with advanced engineering and digital technologies to support energy production, transformation, and decarbonization.
Responsibilities
- Develop 2D and 3D image‑processing, computer‑vision, and measurement algorithms to support remote visual inspection systems.
- Lead and contribute to lower‑TRL technical development (TRL 3‑6), including feasibility studies, algorithm prototyping, and performance characterization.
- Apply systems‑engineering principles to ensure algorithms integrate effectively into larger inspection systems and workflows.
- Work with software engineers to transition algorithms into deployable, production‑ready solutions.
- Perform exploratory, targeted, and validation data analysis using appropriate statistical and analytical methods.
- Collaborate with data and software engineers on data quality assessment, data preparation, and algorithm validation.
- Plan and manage your own technical tasks and project work, balancing multiple priorities with limited oversight.
- Generate technical documentation, reports, and annotated code to document development work and results.
- Communicate results, trade‑offs, and recommendations clearly to technical teams, product leadership, and customers.
- Engage directly with internal and external customers to understand use cases, constraints, and performance needs.
Qualifications
- BA in Mathematics, Physics, Computer Science, Engineering, or a related STEM field (MS preferred).
- 5+ years of professional experience in data science, applied mathematics, image processing, or related technical roles.
- Experience developing and validating algorithms intended for real‑world engineering systems.
- Strong fundamentals in applied mathematics, statistics, and algorithm development.
- Proficiency in one or more programming or analytical languages (Python, C++, MATLAB, R).
- Experience with 2D/3D image processing, computer vision, or measurement algorithms.
- Demonstrated ability to work across research and applied engineering environments.
- Ability to translate ambiguous customer or system needs into clear technical approaches.
- Experience working across teams and disciplines in a product‑oriented environment.
- Aware of data management, version control, and reproducible development practices.
- Aware of real‑time or near‑real‑time analytics and algorithm deployment constraints.
- Familiarity with system‑level performance considerations (accuracy, latency, robustness).
Flexible Working
We offer flexible working patterns but encourage teams to be co‑located in one of our many UK offices.
Benefits
- Contemporary work‑life balance policies and wellbeing activities.
- Comprehensive private medical care options.
- Life insurance and disability programs.
- Tailored financial programs.
- Additional elected or voluntary benefits.
The Baker Hughes internal title for this role is: Digital Technology Specialist – Data Science.
We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law.
#J-18808-Ljbffr…