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Business Data Scientist – Senior
LinkedInBusiness Data Scientist creating models and insights using machine learning and AI tools at Williams. Collaborating with stakeholders to deliver technical solutions that drive business value.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
data analysisstatistical modelingmachine learningartificial intelligencedatabase developmentSQLOraclebusiness intelligencedata visualizationautomated processes
Soft Skills
organizational skillsinterpersonal skills
Tools & Technologies
Microsoft OfficeAzure analyticssynapsedata bricksdata factory
Industry Keywords
natural gas industrypipelinescompressionprocessingproject managementengineeringproject controlsconstruction process
Tech Stack
Tools & technologiesAzureCloudOracleSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- Bachelor's Degree in Information Technology, Engineering, Construction Science, Business
- Three (3) years' of related experience supporting database development and data analytics; and/or natural gas industry experience
- Outstanding organizational/interpersonal skills
- 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
Benefits
Comp & perks- 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