Business Data Scientist (III or Sr)
WilliamsAbout the role
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.
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
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
#LI-GC1
About Tulsa:
Our corporate headquarters is located in downtown Tulsa, Oklahoma, the 2nd largest city in Oklahoma and the 47th most populous in the U.S.
Tulsa is known as the Mother of "The Mother Road" - Route 66, and boasts impressive art deco architecture, the #1 city park in the U.S. (The Gathering Place) and is a great venue for live music. It's an easy place to get in and out of, with more than 20 non-stop flight destinations offered at Tulsa International Airport. Tulsa is listed on CNN Travel's best destinations to visit in 2022!
Tulsa is not only a great place to live, but it's affordable. According to the 2019 Economic Report from Tulsa's Future, the cost of living is 8 percent below the U.S. average. There is
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