Data Scientist

Nissan Motor Corporation•Franklin, TN

2d•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.