What are the responsibilities and job description for the Business Data Scientist (III or 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!
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.
Responsibilities/Expectations:
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.
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
- 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
- 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