Data Scientist

Nissan Motor Corporation • Franklin, TN

1d • Hybrid

About The Position

The Data Scientist drives the organization’s advanced analytics, machine learning, and AI initiatives, transforming data into actionable insights that support business decision-making and innovation. This role involves creating and designing technical solutions, developing complex data and predictive/prescriptive/AI analytics models, and providing insights to the business. The Data Scientist will also assist in the development and maintenance of BI solutions, extract and analyze data, and manage data storage and analytics platforms. They will participate in gathering requirements, documenting processes, and balancing multiple tasks simultaneously.

Requirements

• Advanced analytical skills.
• Quantitative Analytics.
• Proficient in Machine Learning and programming languages.
• 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.
• Excellent written and oral communication skills.
• Hands on 5 to 7 years of Data Analytics experience with min 4 years of focus on Data Science experience required.
• Experienced in development of predictive analytics related to data-driven use-cases in a business vs. an IT role.
• Experience in designing effective data models, trend forecasts, and visualizations of analytics.
• Proficient in Big Data management.
• Proficient in statistics.
• Proficiency in SQL / Python required.
• Relational database modeling fundamentals required.

Nice To Haves

• Automotive Aftersales Service Retention and Service Retention drivers or related knowledge preferred.
• Understanding of US Market and dealer Service operations preferred.
• Knowledge of NNA Systems preferred.
• Professional Certifications in AI or Data Science are advantageous.
• Experienced with ETL Self-Service Applications desired.
• Web Development is a plus.
• Business, Aftersales, Purchasing, Service Marketing experience is preferred.
• Technical automotive parts experience beneficial.
• Master’s degree preferred.

Responsibilities

• Create and design technical solutions to meet business needs by translating end user’s requirements and finding innovative, creative visualizations and tools.
• Strategize and brainstorm with the team to create a viable solution.
• Develop complex data and predictive/prescriptive/AI analytics models and solutions.
• Provide insights to the business and drive key learnings and recommendations using available internal and external data specifically around Service Retention and related KPI’s.
• 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.
• Extract, validate, and analyze desired data using extraction tools.
• Understand and utilize tools to store data effectively within the data mart or data lake solutions, online analytical processing, as well as maintaining data analytics platforms so that data can effectively be mined for information by the end user body.
• Conduct end user tests and develop database queries to analyze the effects and troubleshoot any issues that arise.
• Participate in the ongoing iterative development process of the team’s projects.
• Participate in gathering requirements to improve existing systems from teams within the business to streamline workflow and processes.
• Assist in documenting new processes, optimizations and terms in existing electronic data glossary.
• Balance multiple tasks simultaneously and transition between projects while working both independently and effectively in teams.
• Perform other related duties as necessary.

Benefits

• Comprehensive Benefits Package, including medical, mental health, parental leave, retirement savings
• Unique Nissan perks, including discounts on lease vehicles as part of our Employee Lease Program and a Vehicle Purchase Program (VPP).
• Career Growth and Continuous Learning Opportunities
• Diverse career paths
• Cross-departmental moves
• Innovative learning platforms
• Seminars
• Leadership training
• Tuition reimbursement programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level