If you have what it takes to become part of the Vistra family and would like to start a promising career with a global leader, take a look at the exciting employment opportunities that are currently available and apply online.

Job Summary

The Data Scientist, Retail 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

Job Description

Key Accountabilities

•Develop and implement advanced analytics solutions (predictive, prescriptive models, machine learning algorithms, AI models) to support / optimize business outcomes•Develop various advanced analytical initiatives to support key strategic priorities and focus areas (counts, margin and overall portfolio value optimization)•Provide actionable business insights via experimental design and testing; leverage learnings to drive further optimization in campaign performance •Demonstrate tangible business value from his/her models and ensure that stakeholders are aligned with expected and actual results•Manage a project from initial analysis to readying a model for production•Maintain balance between pragmatic and deeply rigorous solutions depending on business context •Develop code and processes that are repeatable and easily maintained•Staying up to date on new machine learning techniques and approaches to data science•Must be an independent thinker, with a strong bias towards action

Education, Experience & Skill Requirements

•Masters degree in Applied Mathematics, Operations Research, Industrial Engineering, Economics, Statistics or a related quantitative discipline•1-3 years of hands-on experience in the areas of developing and deploying 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, and SQL) •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 •Innovative problem solver who can handle both high breadth & depth of advanced analytics problems

Key Metrics

•Effectively partner with cross-functional stakeholders to improve customer experience and portfolio performance metrics •Serves as a SME on Big Data and Advanced Analytical projects•Works under minimal supervision

Job Family

General Services

Company

Vistra Retail Operations Company

Locations

Irving, Texas

TexasWe are a company of people committed to:  Exceeding Customer Expectations, Great People, Teamwork, Competitive Spirit and Effective Communication.  If this describes you, then apply today!

If you currently work for Vistra or its subsidiaries, please apply via the internal career site.

It is the policy of the Company to comply with all employment laws and to afford equal employment opportunity to individuals in all aspects of employment, including in selection for job opportunities, without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, disability, genetic information, military service, protected veteran status, or any other consideration protected by federal, state or local laws.

 

If you are an individual with a disability and need assistance submitting an application or would like to request an accommodation, please email us at assistance@vistraenergy.com to make a request.