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 Sr at Williams is tasked with developing sophisticated analytical models and generating actionable insights using machine learning and AI tools. This role involves independently delivering technical solutions that drive business value, collaborating with stakeholders, and addressing complex problems to enhance performance and efficiency. The position also focuses on creating scalable processes for data analysis, improving data visualization, and training users to make informed business decisions. As a technical leader, the Business Data Scientist Sr plays a crucial role in supporting business intelligence and developing robust data architecture.
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 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' 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: 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
, This position is responsible for building models, generating insights, business intelligence reporting and advanced analytical model development, including the use of machine learning and artificial intelligence tools specific to business needs. This position also contributes to the development of Williams models and resulting insights to identify opportunities. Additionally, this position interfaces with stakeholders in the business to understand business needs in order to develop appropriate solutions. This position will act as the technical leader on the team and will deliver technical solutions to the business that drive business value and performs duties independently.
full timeHouston, TX8 days ago
$92,000-$138,000Houston, TX7 days ago
