Business Data Scientist II/III/Sr

Williams

Houston, TX, United StatesFull-timePosted Oct 13, 2026

About the role

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.

The Business Data Scientist Sr at Williams is tasked with developing sophisticated analytical models and generating actionable insights using machine learning and AI tools. This role involves independently delivering technical solutions that drive business value, collaborating with stakeholders, and addressing complex problems to enhance performance and efficiency. The position also focuses on creating scalable processes for data analysis, improving data visualization, and training users to make informed business decisions. As a technical leader, the Business Data Scientist Sr plays a crucial role in supporting business intelligence and developing robust data architecture.

Responsibilities/Expectations:

Develops, implements, and supports business intelligence reporting, sophisticated analytical models and data architecture to ensure availability and model support

Creates scalable, efficient, and automated processes for large scale data analyses for model development, validation, and implementation

Enhances user interfaces and data visualization tools to improve the effectiveness of data analyses

Trains users to transform data into actionable information for critical business decisions and explores available data to identify patterns, anomalies, and trends

Develops descriptive, predictive and/or prescriptive statistical models to address business problems

Works with large data sets in a hybrid cloud, using machine learning (ML) and artificial intelligence (AI) methods to help define requirements and set expectations

Other duties as assigned

Education/Years of Experience:

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

Other Requirements:

Demonstrates outstanding organizational/interpersonal skills and safety as the utmost priority

Proficiency in Microsoft Office Applications

Basic knowledge of databases (SQL, Oracle, Cube) and multi-dimensional database structures

Experience with business intelligence tools, reports, and dashboards

Preferred: Proficiency in Azure analytics platforms (e.g., Synapse, Databricks, Data Factory)

Preferred: Experience in project management, engineering, project controls, or construction sequencing

Preferred: Proficiency in writing DAX measures and queries

Preferred: Familiarity with pipelines, compression, and processing

#LI-KK1

Why Houston?

Big career opportunities in one of the world’s energy capitals, endless food spots and a diverse vibe—all without paying NYC or LA prices. Work hard, live better. Check out Houston.org 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

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:

Skill Requirements:

Responsibilities

  • Develop and support business intelligence reporting, analytical models, and data architecture.
  • Build scalable processes for large-scale data analysis, model development, validation, and implementation.
  • Improve user interfaces and data visualization tools.
  • Train users to turn data into actionable insights and identify patterns, anomalies, and trends.
  • Develop descriptive, predictive, and prescriptive statistical models for business problems.
  • Apply machine learning and AI methods to large datasets in a hybrid cloud environment.

Qualifications

  • Bachelor's degree in Information Technology, Engineering, Construction Science, or Business.
  • At least five years of related experience supporting database development and data analytics, and/or natural gas industry experience.
  • Knowledge of SQL, Oracle, cube databases, and multidimensional database structures.
  • Experience with business intelligence tools, reports, and dashboards.
  • Strong organizational and interpersonal skills, with a strong commitment to safety.
  • Preferred: Master's degree and ten years of experience in data science, business intelligence development, or natural gas fundamentals modeling.
  • Preferred: Experience with Azure analytics platforms, DAX, project management, engineering, project controls, construction sequencing, or natural gas pipelines, compression, and processing.

Benefits

  • Annual incentive program
  • Medical, dental, and vision coverage
  • 401(k) company match and annual company contribution
  • Paid time off, company holidays, and floating holidays
  • Paid parental leave and fertility and adoption support
  • Tuition reimbursement and continuing education support
  • 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 charitable matching

Skills mentioned

Data AnalysisMachine LearningStatistical ModelingPredictive ModelingBusiness IntelligenceData VisualizationSQLMicrosoft AzureDatabricksPower BI

About Williams

As the world demands reliable, low-cost, low-carbon energy, Williams will be there with the best transport, storage and delivery solutions. We make clean energy happen by being the best-in-class operator of the critical infrastructure that supports a clean energy future.

Oil and Gas5,001-10,000 employeesTulsa, Oklahoma