Business Data Scientist III/Sr/Lead

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!

The Business Data Scientist is responsible for creating models, generating insights, and developing advanced analytical models using machine learning and AI tools. This role will collaborate with stakeholders to understand business needs and deliver technical solutions that drive business value independently. The ability to collaborate with others, develop solutions to sophisticated problems that anticipate the needs of customers, improve performance and efficiency are keys to success!

Your work will challenge you, and with our Core Values to guide you, you’ll quickly learn and grow with us.

Business Data Scientist III

Responsibilities/Expectations:

• Develops, implements, and provides production support of business intelligence reporting and sophisticated analytical model development
• Develops architecture, data availability, and data model support
• Creates scalable, efficient, and automated processes for large scale data analyses for model development, validation, and implementation
• Organize user interfaces and data visualization tools to make data analyses more effective and accessible
• Trains users to transform data into action-oriented information and to use that information to make critical business decisions
• Explores available data and discover 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 three (3) 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 five (5) 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: Azure analytics platform proficiency (e.g., synapse, data bricks, data factory)
• Preferred: Experience in project management, engineering, project controls or construction process and sequence
• Preferred: General understanding of pipelines, compression, and processing

Business Data Scientist Sr/Lead

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 I