Data Scientist

Location(s): Franklin, TN

Job Schedule: Full-time, Hybrid (4 days on-site)

Education Requirement: Bachelor’s degree

Sponsorship: No

Strong Candidate Identified: Yes

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

We are currently looking for a Data Scientist to join our team.  This role supports Product Safety (PSE) with a focus on safety and regulatory field data and is responsible for delivering advanced analytics and predictive solutions that drive data‑informed decisions.

A Day in the Life:

• Develop, deploy, and maintain advanced statistical, machine learning, and predictive models to solve complex business problems using structured and unstructured data.

• Partner with business stakeholders, IS/IT, and subject matter experts to understand objectives, identify relevant data sources, and define analytics requirements and solutions.

• Interface with data engineering and IT teams to support data pipelines, data curation, certification, and sourcing of enterprise data products.

• Design experiments, perform hypothesis testing, and monitor model performance, including rapid prototyping and proof‑of‑concept development.

• Identify new data science and analytics use cases that address business needs and implement solutions in collaboration with internal teams and vendors.

• Clearly communicate insights, project status, risks, and recommendations to leadership and stakeholders across varying technical levels.

• Ensure analytics solutions comply with regulatory, data security, and governance standards.

• Perform other related duties of which the above are representative as necessary.

• Partner with other Data Scientists & analysts across Nissan for enterprise data literacy.

• Lead and mentor Data Analysts and citizen Data Scientists.

Who We’re Looking for:

Required:

• Bachelor’s degree in Applied Mathematics, Statistics, Computer Science, or a related field; or equivalent practical experience in data analytics or data science.

• 5+ years of experience in data analysis, data science, or analytics, including building and maintaining predictive or statistical models.

• Strong proficiency in statistical analysis, machine learning methods, and predictive modeling techniques.

• Experience using SQL and relational databases, along with data preparation, cleansing, and transformation techniques.

• Ability to write functional code using R and/or Python.

• Ability to analyze data, uncover trends, translate insights into business recommendations, and communicate findings effectively.

• Strong collaboration and communication skills with both technical and non‑technical audiences.

• Infrequent day or overnight travel as required.

Desired:

• Master’s degree in Analytics, Data Science, Statistics, or a related field.

• Project leadership experience preferred.

• Experience working with big data platforms such as Snowflake and cloud‑based data environments.

• Advanced knowledge and prior use of R & Python is preferred.

• Familiarity with visualization tools such as Tableau or similar platforms.

• Prior experience supporting supply chain, logistics, or automotive business functions.

• Experience mentoring analysts or contributing to enterprise data literacy initiatives.

What You’ll Look Forward to at Nissan:

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 Nissan perks, including discounts on lease vehicles as part of our Employee Lease Program and a Vehicle Purchase Program (VPP). For more information, access our Nissan Benefits Overview Guide.

Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings i