Business Data Scientist Sr/Lead

Williams•Houston, TX

5d•Hybrid

About The Position

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 empower 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.

Requirements

Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Business, or a related quantitative field
at minimum ten (10) years of energy industry experience
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
Develops BI reports and dashboards using Power BI
Utilizes SQL for data querying and Python or R for data manipulation and analysis
Applied knowledge of databases (SQL, Oracle, Cube) and multi-dimensional data structures
Works with large datasets in a hybrid cloud environment, leveraging AI and ML methods to define requirements and set expectations

Responsibilities

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 at scale.
Drive 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

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