Business Data Scientist (III or Sr)

Williams•Tulsa, OK

4d•Hybrid

About The Position

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.

Requirements

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
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 five (5) years' work experience in data science and/or business intelligence developer and/or natural gas fundamentals modeling
Azure analytics platform proficiency (e.g., synapse, data bricks, data factory)
Experience in project management, engineering, project controls or construction process and sequence
General understanding of pipelines, compression, and processing

Responsibilities

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

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