Senior Specialist - Data Science
Are you a highly motivated, creative individual and passionate about sales and proposals?
Would you like to be a part of successful team?
Join our team!
Baker Hughes is the leading energy technology company, who delivers across the energy value chain through our market-leading business segments. Built on a century of experience and conducting business in over 120 countries. Our innovative technologies and services are taking energy forward! Making it safer, cleaner and more efficient for people and the planet.
Partner with the best
As a Senior Specialist - Data Science, you will play a vital role in developing analytics solutions offered as part of Cordant applications. Ideal candidate will combine strong data science, statistical skill and hands on experience with developing analytics to solve real-world issues on a scale.
As a Senior Specialist – Data Science, you will also be responsible for:
- Work closely with SMEs, Engineering, Product, and Commercial teams to grasp analytics use case problem statements.
- Analyze these challenges from a domain perspective and recommend data science, statistical, or AI-driven solutions.
- Design and implement analytics solutions by applying advanced data science and statistical methods.
- Establish measurable outcomes and model metrics to enhance accuracy and reliability.
- Conduct exploratory analysis on large, complex datasets—cleaning, preprocessing, validating data, and identifying patterns and trends.
- Uphold data quality, governance, privacy standards, and advocate for the ethical use of data and AI.
- Build scalable, efficient analytics models in partnership with Data, Platform, and ML Engineers.
- Present insights clearly to stakeholders and leadership through visualizations, reports, and presentations detailing methodology, findings, and hypotheses.
Fuel your passion!
To be successful in this role you will:
- Hold a master’s or bachelor’s degree in computer science or a STEM field.
- Have 7-10 years of experience in analytics, including 3+ years working on enterprise-scale solutions.
- Experience in Time Series Data.
- Demonstrate expertise in AI/ML, statistical methods, LLM, and Gen AI analytics, Python, and related libraries.
- Apply OOP concepts for analytics development.
- Show familiarity with MLOps and model lifecycle management.
- Work independently and drive outcomes.
- Exhibit a critical system thinking and problem-solving mindset.
- Effectively explain analytical ideas to non-technical audiences.
Work in a way that works for you
We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Working with us
Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.
Working for you
Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect.
Contemporary work-life balance policies and wellbeing activities.
Comprehensive private medical care options.
Safety net of life insurance and disability programs.
Tailored financial programs.
Additional elected or voluntary benefits.
The Baker Hughes internal title for this role is: Digital Technology Senior Specialist - Data ScienceSkills Required
- Bachelor’s or master’s degree in computer science or a STEM field
- 7–10 years of experience in analytics
- At least 3 years of experience working on enterprise-scale solutions
- Experience with time series data
- Expertise in AI/ML and statistical methods
- Experience with LLM and generative AI analytics
- Proficiency in Python and related libraries
- Ability to apply object-oriented programming concepts to analytics development
- Familiarity with MLOps and model lifecycle management
- Ability to work independently and drive outcomes
- Critical systems thinking and problem-solving skills
- Ability to explain analytical concepts to nontechnical audiences
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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