Associate Data Scientist - Irving, United States - Vistra

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    Description


    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 Associate Data Scientist, Retail role takes end-to-end ownership of achieving business objectives through the development, application and deployment of advanced analytical (simulations, 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 (simulations, predictive, prescriptive models, machine learning algorithms, AI models) to support / optimize business outcomes
    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 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
    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
    0-1 years of hands-on experience creating and running simulations in Python
    0-1 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 (SAS, 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

    TXU Retail Services Company

    Locations

    Irving, Texas

    Texas

    We 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 to make a request.

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