AVP Data Science- Natural language Processing/ Machine Learning

Company: GM Financial
Location: Fort Worth, Texas, United States
Type: Full-time
Posted: 09.JUN.2021
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Summary

Overview: The AVP Data Science is responsible for implementing the design, development, deployment and maintenance of data based models and ...

Description

Overview:
The AVP Data Science is responsible for implementing the design, development, deployment and maintenance of data based models and analysis that support critical business functions such as Marketing and Customer Experience. The AVP leads a group of Data Scientists that are responsible for mining and analyzing complex datasets using advanced statistical methods for use in data driven decision making. The AVP Data Science leads in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. The AVP is the subject matter expert on performance through an in depth knowledge of quantitative methods and diligent knowledge of data sources. This position is responsible for summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives.

Responsibilities:
JOB DUTIESLeads in conducting research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the businessBuilds technical knowledge to support research and analytic responsibilitiesDevelops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questionsProvides findings and analysis for use in decision makingEnsures that the delivered products meet the business needs of the companyPartners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership

Qualifications:
KnowledgeAbility to identify and understand business issues and map these issues into quantitative questionsEfficient quantitative skills with very large datasetsComprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniquesProficiency in experimental design, ability to design and implement documentation and monitoring protocols,Advanced knowledge of principles, standards, practices and techniques relating to quantitative analysis for a financial firmSkillsMS Office requiredPython, R, and SAS programming requiredStrong written and verbal presentation skills with an ability to communicate effectively with Senior ManagementAbility to identify and seek needed information/research skillsAnalytical thinking skillsAbility to interact collaboratively with internal and external customersCapable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressureProblem/situation analysisProvides leadership, coaching, and/or mentoring to Data ScientistsEducationMaster's Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field requiredExperience7+ years experience in hands on modeling required using techniques including optimization, NLP, machine learningPython, R, and SAS programming required2-4 years experience in management or leadership tole requiredWork ConditionNormal office environment#LI-WB1

 
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