Business Data Scientist Senior/Lead (Power Innovation, Project Development)

Williams•Tulsa, OK

1d•Hybrid

About The Position

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.

Requirements

Bachelor’s Degree and minimum 15 years’ experience in oil and gas engineering/project management (for Business Data Scientist Staff)
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 (for Business Data Scientist Senior)
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

Nice To Haves

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) (for Business Data Scientist Staff)
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 (for Business Data Scientist Senior)

Responsibilities

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

Benefits

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