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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 5-7 years of experience in analytics, including 3+ years working on enterprise-scale solutions.
- 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 Science
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About Baker Hughes

Baker Hughes
PublicBaker Hughes is a global energy technology company that provides solutions for energy and industrial customers worldwide. The company offers equipment, services, and digital solutions for oil and gas operations, industrial processes, and energy transition technologies.
10,001+
Employees
Houston
Headquarters
Reviews
3.4
10 reviews
Work Life Balance
3.8
Compensation
3.2
Culture
2.9
Career
2.8
Management
2.1
45%
Recommend to a Friend
Pros
Good work-life balance
Great benefits
Good opportunities for growth and mobility
Cons
Poor upper management and leadership issues
Lack of appreciation and respect for employees
Limited advancement opportunities
Salary Ranges
554 data points
L2
L3
L4
L5
L6
Senior/L5
L2 · Business Analyst L2
0 reports
$97,988
total / year
Base
$39,195
Stock
$48,994
Bonus
$9,799
$68,592
$127,384
Interview Experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 25%
Neutral 50%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Digital/HireVue Interview
4
Technical Interview
5
Hiring Manager Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
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