Sr. Data Scientist - Aftersales Support

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 Nissan 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.

• 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.

• Master’s degree preferred.

• Prior automotive experience a plus.

• Experience working with Dynamic Pricing Models is a plus.

• Ability to perform work onsite at Nissan North America Headquarters Franklin, TN.