Williams
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Business Data Scientist III/Sr/Lead
role 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. Bring your energy to ours!
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
Organizes 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 discovers 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 of 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, Databricks, 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 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 of 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
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Project Management, Information Technology, and Engineering
Industry Oil and Gas
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Business Data Scientist III/Sr/Lead
role 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. Bring your energy to ours!
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
Organizes 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 discovers 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 of 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, Databricks, 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 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 of 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
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Project Management, Information Technology, and Engineering
Industry Oil and Gas
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