At Williams, we’re powering a cleaner, more connected future, and that starts with you. Here, your work fuels communities, drives innovation, and helps deliver reliable energy the world depends on. Join a Fortune 500 team that invests in your growth, values your contributions, and challenges you to make a lasting impact every day.
Do something that means something at Williams. This isn’t just a job - it’s an opportunity to explore and discover your passion with coworkers who become friends and mentors who push you to be your best self in and out of the office. At Williams, we make clean energy happen. And you can too, so bring your energy to ours!
As a Data Scientist III/Senior within Power Innovation, you will develop advanced estimating tools and analytical solutions that support large-scale power generation and infrastructure projects. You’ll apply machine learning, AI, and data engineering techniques to improve cost accuracy, scenario analysis, and decision-making across early-phase development and execution.
This role is highly integrated with estimating, engineering, and project controls, requiring both technical depth and strong business understanding. You’ll translate complex datasets into scalable tools that drive consistency, transparency, and speed in how projects are evaluated and delivered.
Your work will challenge you, and with our Core Values to guide you, you’ll quickly learn and grow with us.
Responsibilities/Expectations:
- Leads a team to implement project plans or programs with significant complexity to achieve objectives, coordinating with our internal and external business partners
- Sets up the core project team to facilitate achievement of the project objective
- Coordinates key functions with technical resources under the guidance of Project Life Cycle
- Develops and implements project reports, presentations, schedules and costing forecasts
- Presents and implements recommendations supported by sound engineering and operational efficiency that supports reliability targets and reduces risks inherent in the project
- Prepares, reviews and approves requests for proposals, evaluations and contractor selection
- Understands the economic impact of the project being developed to drive solutions
- Anticipates issues, gathers information, assesses opportunity, analyzes alternative solutions and makes important decisions
- Develops optimum project solutions that improve economic profit over the life of the project
- Runs moderate-large projects with high quality and a focus on our business partners
- Leads project teams and contractors; accountable for producing results and meeting deadlines
- Designs and develops estimating tools and analytical models to support cost forecasting, scenario analysis, and project evaluation across development and execution phases
- Integrates cost, schedule, and technical datasets into scalable analytical frameworks to support estimating and decision-making processes
- Applies statistical, predictive, and machine learning techniques to identify cost drivers, sensitivities, and project risks
- Develops practical analytical tools and solutions that are actively used by business teams to support planning, estimating, and execution decisions
- Partners with estimating, engineering, and project controls teams to standardize data structures, improve workflows, and enhance consistency in analytical outputs
- Creates tools and models that enable rapid evaluation of project configurations, phasing strategies, and technology options
- Translates complex datasets into actionable insights that improve decision-making for large-scale infrastructure or energy projects
- Demonstrates ability to build practical, business-facing analytical tools (in addition to developing models) that support real-time decision-making
- Other duties as assigned
Education/Years of Experience:
Business Data Scientist Staff:
- Required: Bachelor’s Degree and minimum 15 years’ experience in oil and gas engineering/project management
- Preferred: Bachelor’s Degree in engineering or construction management and Master's degree in business, project management or engineering management; PMP, PE, and Microsoft Specialist Project Certification (MS)
Business Data Scientist Senior:
Required: Bachelor's Degree in Information Technology, Engineering, Construction Science, Business and five (5) years' of related experience supporting database development and data analytics; and/or natural gas industry experience
Preferred: Master's Degree in Business Administration, Data Science, Information Technology, and ten (10) years' work experience in data science and/or business intelligence developer and/or natural gas fundamentals modeling
Shift/Work hours/Travel Requirements:
- Must be willing to travel up to 50%
Other Requirements:
- Demonstrates excellent organizational/interpersonal skills and safety as the utmost priority
- Proficiency in Microsoft Office Applications and PC skills
- Strong experience applying data science, analytics, or modeling within engineering, construction, infrastructure, or project-based environments
- Proficiency in business intelligence and visualization tools (e.g., Power BI) for developing dashboards, reporting, and communicating analytical outputs
- Experience working with integrated datasets including cost, schedule, and technical information to support forecasting and scenario analysis
- Proven ability to collaborate across cross-functional teams including engineering, estimating, and project controls to drive alignment and data standardization
- Solid understanding of PLC/Stage-Gate processes and extensive experience with facility construction or operations in the oil and gas industry
#LI-AK1
About Tulsa:
Our corporate headquarters is located in downtown Tulsa, Oklahoma, the 2nd largest city in Oklahoma and the 47th most populous in the U.S.
Tulsa is known as the Mother of "The Mother Road" - Route 66, and boasts impressive art deco architecture, the #1 city park in the U.S. (The Gathering Place) and is a great venue for live music. It's an easy place to get in and out of, with more than 20 non-stop flight destinations offered at Tulsa International Airport. Tulsa is listed on CNN Travel's best destinations to visit in 2022!
Tulsa is not only a great place to live, but it's affordable. According to the 2019 Economic Report from Tulsa's Future, the cost of living is 8 percent below the U.S. average. There is no place like T-Town. Check out visittulsa.com to learn more!
We invest in our people in ways that actually show up in your day-to-day, not just on paper. Our Total Rewards are built to support how you work, live, and plan for what’s next.
Here’s a look at what that means:
- Strong pay plus an annual incentive program
- Hybrid work for most office roles, plus real flexibility in many field positions
- Medical, dental, and vision coverage with options that fit your life, not the other way around
- 401(k) with company match and an annual company contribution
- Paid time off, including company and floating holidays
- Paid parental leave (up to six weeks per parent), plus fertility and adoption support
- Advanced AI tools and resources to help level up and work smarter
- Clear paths to grow your career, with a strong culture of promoting from within
- Tuition reimbursement and support for continuing education
- HSA and FSA options
- Company-paid life insurance and disability coverage
- Employee stock purchase plan
- Domestic partner benefits
- Employee resource groups, wellness support, paid volunteer time, and company matching for causes you care about
Eligibility and benefits are governed by the terms of the applicable plan or program document which can be amended or terminated at any time.
For more information, please visit Total Rewards | Williams Companies.
Williams is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, national origin, age, marital status, disability, veteran status, genetic information or any other basis protected under applicable discrimination law.
Education Requirements:
Bachelors
Skill Requirements:
Competency Requirements:
