Business Data Scientist II/III/Sr

Williams•Tulsa, OK

5d•Hybrid

About The Position

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. 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.

Requirements

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
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

Nice To Haves

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
Proficiency in Azure analytics platforms (e.g., Synapse, Databricks, Data Factory)
Experience in project management, engineering, project controls, or construction sequencing
Proficiency in writing DAX measures and queries
Familiarity with pipelines, compression, and processing

Responsibilities

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

Benefits

Competitive compensation
Annual incentive program
Hybrid work model - one work from home day each week for most office-based roles
Flexible work schedule for most field-based roles
401(k) with company matching contribution and a fixed annual company contribution
Comprehensive medical, dental, and vision benefits
Generous company-paid life insurance and disability benefits
A consumer-driven health plan option with the potential for a generous company contribution to a Health Savings Account
Healthcare and Dependent Care Flexible Spending Accounts
Paid time off, including floating and company holidays
Employee stock purchase plan
Robust employee learning and development
High internal mobility (we promote from within)
Parental leave (we provide up to 6 weeks for each parent)
Fertility coverage and adoption benefits
Domestic partner benefits
Educational reimbursement
Non-profit donation matching contributions and time off to volunteer
Employee resource groups
Employee assistance programs
Technology to make our work more productive and collaborative
Regular employee engagement surveys and feedback processes