data
Posted 1 weeks agoBusiness Data Scientist Sr/Lead
Hybrid
Responsibilities
- Drive the adoption of innovative technologies and methodologies Serves as an advisor to executive leadership on data-driven opportunities and risks.
- 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.
- 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
- 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.
Requirements
- 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.
- 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 at scale.
- 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
- 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