Business Data Scientist II/III/Sr
Williams
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
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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:
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
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.