Business Data Scientist Sr​/Lead

## Business Data Scientist Sr/Lead Apply locations:
TX Houston - Towertime type:
Full time posted on:
Posted Yesterday job requisition :
R112031

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.

Do something that means something s 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.

As a Business Data Scientist Lead, you will be responsible for driving the strategic design, development, regulatory compliance, testing, and implementation of enhancements to proprietary systems, while overseeing data visualization and advanced analytics initiatives. The role involves leading cross-functional collaboration to deliver impactful projects that optimize revenue and ensure adherence to regulatory standards. Key responsibilities include identifying and analyzing business needs, translating them into actionable functional requirements, managing system modifications, and ensuring solutions align with organizational goals and compliance mandates.

Additionally, you will provide leadership in process improvement, serve as the primary liaison between business and technical teams, and empowers the organization to make informed, data-driven decisions through advanced analytics and reporting.

Your work will challenge you, and with our Core Values to guide you, you’ll quickly learn and grow with us.
** Responsibilities/Expectations:
*** Defines and champions the enterprise data science strategy, ensure alignment with business goals and emerging industry trends;
Lead cross-functional teams in the development and implementation of advanced analytics frameworks, standards, and best practices to drive value
* Architects, oversees, and optimizes complex analytical models, predictive and prescriptive solutions, and AI/ML platforms ve the adoption of innovative technologies and methodologies
* Serves as an advisor to executive leadership on data-driven opportunities and risks. Translate complex analytical findings into actionable business recommendations, influencing key strategic decisions
* Mentors and develops junior and senior data scientists, fostering a culture of continuous learning, collaboration, and high performance. Lead knowledge-sharing initiatives and provide technical guidance on advanced statistical, AI, and ML solutions
* Provides 24/7 support to internal and external customers, serving as a liaison between customers and IT to validate and address product-related issues. Accurately log, monitor, test, and resolve identified defects, ensuring all actions align with customer impact and regulatory compliance requirements
* Establishes and enforces data governance, model validation, and quality assurance protocols across analytics projects. Ensure compliance with industry standards, regulatory requirements, and ethical guidelines in data science practices
* Prepares and provides periodic reporting for stakeholders. Represent the organization at industry forums, conferences, and working groups; publish and present on innovative data science and analytics topics
* Other duties as assigned
** Education/Years of

Experience:

**
* Required:

Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Business, or a related quantitative field and at minimum ten (10) years of energy industry experience
** Other Requirements:
*** Demonstrates experience with operational, regulatory, systems, and accounting processes
* Transforms data into action-oriented insights to support critical business decision-making
* Designs and organizes user interfaces and data visualizations to improve accessibility and effectiveness of analysis
*…