Description
Job Summary
The Lead Data Scientist role takes end-to-end ownership of achieving business objectives through the development, application and deployment of advanced analytical (prescriptive, predictive, machine learning, AI) models. In order to succeed in this role, the applicant should be eager to take on challenges and responsibility of increasing complexity, have impeccable attention to detail, be fully accountable for business outcomes, be able to improvise and solve problems in the absence of perfect data, be able to simplify and communicate complex results to key business stakeholders via presentation and visualization tools and mentor and coach other Data Scientists on the project team.Job Description
Key Accountabilities
- Develop and implement advanced analytics solutions (predictive, prescriptive models, machine learning algorithms, AI models) to support / optimize business outcomes
- Lead advanced analytical initiatives to support key strategic priorities and focus areas.
- Provide actionable business insights via experimental design and testing; leverage learnings to drive further optimization in campaign performance
- Lead working sessions with cross-functional business partners to identify gaps and understand areas of opportunity
- Demonstrate tangible business value from his/her models and ensure that stakeholders are aligned with expected and actual results
- Maintain balance between pragmatic and deeply rigorous solutions depending on business context
- Staying up to date on new machine learning techniques and approaches to data science
- Ability to lead a cross-functional project team and provide direction and coaching to junior analysts
- Lead a project team from initial analysis to readying a model for production
- Provide technical guidance and mentorship on analyses produced by the team
- Structure and present analyses to executives and key business stakeholders
- Must be an independent thinker, with a strong bias towards action
- Actively participate in cross-functional initiatives, providing expertise, offering original perspectives and challenging conventional views
- Handle and appropriately prioritize multiple overlapping projects
Education, Experience & Skill Requirements
- Masters/+ degree in Applied Mathematics, Operations Research, Industrial Engineering, Economics, Statistics or a related quantitative discipline
- 5+ years of experience in the areas of developing predictive & prescriptive analytical models and Machine Learning & Optimization algorithms to improve business performance
- Solid theoretical background in mathematics, statistics, database technology, mathematical optimization, graph algorithms and related disciplines
- Strong computer programming skills in a high-level programming language (Python, SQL, SAS)
- Work with Big / Fast data, creating scalable, robust and accurate augmented intelligent solutions
- Design and run experiments, research new algorithms, and work closely with stakeholders to deploy our algorithms and models into practice
- Strong leadership & project management skills
- Innovative problem solver who can handle both high breadth & depth of advanced analytics problems
- Experience in a customer-focused role and building relationships with key internal stakeholders
- Excellent communication skills - oral and written
Key Metrics
- Effectively lead large cross-functional work teams within Vistra, External Business Partners and Regulatory workgroups with the goal to greatly improve work processes related to the Retail customer retention and growth
- Serves as a SME and provides guidance and work direction to team members
- Works under minimal supervision
- Ensure continuous improvement and optimization of processes for maximum team efficiency
- High level of initiative in terms of learning the business and designing valuable analyses
- Excellent consulting, negotiating, consensus building and conflict resolution skills
- Ensure continuous improvement and optimization of processes for maximum team efficiency
Contact
TXU Energy
1601 Bryan St
Dallas
Texas United States
www.txuenergy.com
From the same organization
23 Jul, 2025
23 Jul, 2025
23 Jul, 2025
