Data Scientist

About the role

Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation

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.
• Aid in the 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.
• Utilize tools to store data effectively within the data mart or data lake solutions, online analytical processing, and maintain 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.
• Assist in gathering requirements to improve existing systems from teams within the business to streamline workflow and processes.
• Aid in documenting new processes, optimizations, and terms in existing electronic data glossary.
• Capable of balancing multiple tasks simultaneously and transitioning between projects while working both independently and effectively in teams.

Requirements

• 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 preferred.
• Excellent written and oral communication skills.
• Experience: Hands on 5 to 7 years of Data Analytics experience with min 4 years of focus on Data Science experience required.
• Professional Certifications in AI or Data Science are advantageous.
• Experience in developing 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.
• Proficiency in Big Data management.
• Proficiency in statistics.
• Proficiency in SQL / Python required.
• Relational database modeling fundamentals required.
• 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.

Qualifications

• Bachelor's degree in Information Technology/Computer Science, Mathematics/Statistics, Analytics, Business Technology or related field required.
• Master's degree preferred.

Skills

• Advanced analytical skills.
• Quantitative Analytics.
• Machine Learning and programming languages proficiency.
• Automotive Aftersales Service Retention and Service Retention drivers or related knowledge.
• US Market and dealer Service operations understanding.
• Advanced ETL capabilities using SQL, Python, Snowflake, and AWS.
• Knowledge of NNA Systems.
• Excellent written and oral communication skills.
• Data Science certifications.
• Predictive analytics experience.
• Data modeling and trend forecasting expertise.
• Big Data management skills.
• SQL and Python proficiency.
• Relational database modeling fundamentals.
• ETL Self-Service Applications experience.
• Web Development skills.
• Business, Aftersales, Purchasing, Service Marketing experience.
• Technical automotive parts experience.

Benefits

Be supported with a 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).

Pay

Nissan offers competitive compensation packages tailored to the role and experience level.

Schedule

Hybrid 4 days week Onsite