Senior Data Scientist

Sr. Data Scientist - Aftersales SupportDirect hire Franklin, TN local candidate preferred. Hybrid 4 days on-site. Must be a USC or Green Card holder, no sponsorships permitted.Bachelor's degree and at least 6 years of exp requiredThe Aftersales Data Scientist provides complex data and predictive analytics solutions to identify and address opportunities for business expansion and optimization of marketing and incentive decisions. They will be responsible for extracting relevant data, modeling business processes, discovering business insights, and identifying opportunities through the use of in-depth statistical, algorithmic, data mining and advanced visualization techniques.A Day in the Life:The responsibilities listed are not intended to be an exhaustive list of all duties for this role. Additional tasks may be assigned, as needed, to support business objectives.Utilizes expertise in statistical and machine learning methods using tools such as Python and proficiency in big data cloud infrastructures to perform tasks related to all aspects of model development, including data extraction/data load, data cleansing, predictive analysis and model build.Develops complex data and predictive/prescriptive/AI analytics models and solutions.Assist in development, maintenance and management of advanced reporting, analytics, dashboards and other BI solutions primarily using SQL, Python, Informatica Prep, Snowflake, AWS and Power BI.Identifies what data is available and relevant, including internal and external data sources, while leveraging new data collection and analysis processes.Collaborates with internal and external SME's to select relevant sources of information, and engages with the Sales & Marketing Analytics team, M&S functions and IS to elicit, document, analyze and validate analytics solution objectives and requirements.Develops experimental design approaches to validate findings or test hypotheses.Provides on-going tracking and monitoring of performance of decision systems and statistical models.Researches through analysis of data from various internal and external sources to identify opportunities for new services/products that contribute to FMI (Fixed Marketing Investments), VME (Variable Marketing Expenditures), Inventory Mix and Sales Performance. Implements IT solutions for projects, ongoing solutions, and business expansion by providing proof of concept business cases to internal clients.Serves as a strategic advisor and cross-functional leader by providing expert guidance to teams and leadership; clearly communicating project status and opportunities; educating the organization on advanced methods; ensuring regulatory-compliant data practices; enhancing systems through analysis and policy recommendations; safeguarding confidential information; applying structured problem-solving; engaging stakeholders at all levels to surface needs and value opportunities; and acting as a liaison to external experts to strengthen organizational capability.Who We're Looking For: Required:Bachelor's degree in applied mathematics, statistics, computer science or related field.At least 6 years of relevant experience in Python, data modeling, big data, quantitative and qualitative research, and analytics.Advanced analytical skills. Quantitative Analytics. Proficient in Machine Learning and programming languages. Automotive Aftersales Service Retention and Service Retention drivers or related knowledge preferred. Understanding of US Market and dealer Service operations preferred. Advanced ETL capabilities using SQL, Python, Snowflake, and AWS to data mine Aftersales business insights and create data pipelines to support business use-case execution Knowledge of NNA Systems.Excellent written and oral communication skills.Ability to find solutions to loosely defined business problems by leveraging large unstructured datasets.Must possess ability to synthesize data, uncover inherent trends in the data, make recommendations about associated opportunities and implications to business performance, & communicate findings & recommendations to a variety of audiences.High proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.Desired:Master's degree preferred.Prior automotive experience a plus.Experience working with Dynamic Pricing Models is a plus.Ability to perform work onsite at North America Headquarters Franklin, TN.What You'll Look Forward to:Career Growth and Continuous Learning Opportunities: Benefit from diverse career paths, cross-departmental moves, and innovative learning platforms. Enhance your skills through seminars, leadership training, and tuition reimbursement programs, all while playing a vital role in shaping the future of transportation. From day one, you'll have the support to tackle challenges and contribute to impactful solutions across our organization. Rewards: Be supported with a Comprehensive Benefits Package, including medical, mental health, parental leave, retirement savings & unique perks, including discounts on lease vehicles as part of our Employee Lease Program and a Vehicle Purchase Program (VPP). For more information, access our Benefits Overview Guide.Skill - Required / Desired - Amount - of Experience - Expertise Rating - MoveBachelors degree in applied mathematics, statistics, computer science or related field. - RequiredAt least 6 years of relevant experience in Python, data modeling, big data, quantitative and qualitative research, and analytics. - RequiredMasters degree preferred. - Highly desiredPrior automotive experience a plus. - Highly desiredExperience working with Dynamic Pricing Models is a plus. - RequiredSupplier agrees to 20% of salary less fee and Guarantee as listed in the req - Required