Williams

Business Data Scientist II/III/Sr

Williams Houston, Texas, United States

Oil and Gas · 5,001-10,000 employees

Yesterday
data-scientist Senior (5-10 yrs) Full-time United States
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About the role

The Business Data Scientist will develop sophisticated analytical models and generate actionable insights using machine learning and AI tools. They are responsible for creating scalable data processes, enhancing visualization tools, and training users to support informed business decision-making.

What they look for

Machine learning Artificial intelligence Data architecture Business intelligence SQL Oracle Data visualization Statistical modeling Azure Synapse Databricks Data factory DAX Project management Predictive modeling Data analysis

Requirements

Candidates must hold a Bachelor's degree in a relevant field and possess at least five years of experience in database development and data analytics. Proficiency in SQL, business intelligence tools, and data architecture is required, with preference given to those with natural gas industry experience.

Benefits

Medical coverage Dental coverage Vision coverage 401(k) with company match Paid time off Company holidays Floating holidays Paid parental leave Fertility support Adoption support Tuition reimbursement Life insurance Disability coverage Employee stock purchase plan Wellness support Paid volunteer time

Full description

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

 

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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:

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