What are the responsibilities and job description for the Business Data Scientist II/III/Sr position at Williams?
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 Business Data Scientist and member of the Commercial Technology team, you will work with our Gathering & Processing organization and play a key role in evolving our internal forecasting and commercial analytics platform, Unify. This position plays an important role in evolving our core system powering commercial analytics such as volume forecasting, allocation modeling, commodity optimization, imbalance management, and customer impact analysis. As technology continues to advance rapidly, Unify is uniquely positioned to leverage advanced analytics and AI driven insights, enabling the business to unlock deeper intelligence and drive business outcomes. It’s an exciting time to join Commercial Technology and help shape the future of data driven decision making.
Your work will challenge you, and with our values to guide you, you’ll quickly learn and grow with us.
Responsibilities/Expectations:
As a Business Data Scientist and member of the Commercial Technology team, you will work with our Gathering & Processing organization and play a key role in evolving our internal forecasting and commercial analytics platform, Unify. This position plays an important role in evolving our core system powering commercial analytics such as volume forecasting, allocation modeling, commodity optimization, imbalance management, and customer impact analysis. As technology continues to advance rapidly, Unify is uniquely positioned to leverage advanced analytics and AI driven insights, enabling the business to unlock deeper intelligence and drive business outcomes. It’s an exciting time to join Commercial Technology and help shape the future of data driven decision making.
Your work will challenge you, and with our values to guide you, you’ll quickly learn and grow with us.
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
- 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
- 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