Location: Smyrna, TN

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

Education Requirement: Bachelors Degree

Sponsorship: No

Come Drive Innovation with Us. We are currently looking for a Data Scientist to join our team in Smyrna, TN.

A Day in the Life:   

• Partner with stakeholders and data product owners to translate complex or ambiguous business challenges into structured data science use cases.

• Lead exploratory data analysis (EDA), data preparation, and feature engineering across diverse data sets.

• Design, develop, and validate predictive, descriptive, and forecasting models using advanced statistical and machine learning techniques.

• Apply best practices such as cross-validation, back testing, and drift monitoring to ensure model reliability.

• Build end-to-end analytical solutions using tools like Python, R, SQL, Power BI/Tableau, and cloud platforms (AWS, Snowflake).

• Collaborate with IS/IT and data engineering teams to prepare data pipelines, integrate data sources, and support scalable deployment.

• Translate technical findings into clear, actionable insights for both technical and non-technical audiences.

• Lead proof-of-concept (POC) initiatives to evaluate emerging technologies and drive innovation

• Contribute to governance, documentation, and best practices to ensure consistency and reproducibility.

• Develop domain expertise across MZK functions to enhance solution relevance and impact.

On the project side, you will:

• Lead end-to-end delivery of large-scale, cross-functional data science projects.

• Facilitate solution design workshops, technical reviews, and stakeholder discovery sessions.

• Define project scope, timelines, and deliverables while managing dependencies and risks.

• Create structured documentation including workflows, data dictionaries, and modeling artifacts.

• Monitor progress, ensure alignment to business objectives, and proactively address challenges.

Who We’re Looking for:

Required:

• Bachelor’s degree in Business Analytics, Data Science, Operations Research, Mathematics, Statistics, or related field (or equivalent certification).

• 5+ years of hands-on experience in data science, machine learning, or advanced analytics.

• Strong expertise in Statistical modeling, machine learning, and predictive analytics.

• Strong expertise in Python, R, SQL, and data visualization tools (Power BI, Tableau).

• Strong expertise in Cloud platforms such as AWS, Snowflake, or Azure.

• Experience designing and validating models using techniques such as time-series cross-validation and back testing.

• Proven ability to work with large, complex datasets (structured and unstructured).

• Demonstrated success delivering cross-functional data science projects with measurable impact.

• Strong project management skills, including scoping, planning, and risk mitigation.

• Ability to translate complex problems into analytical solutions and communicate insights clearly.

• Highly organized, detail-oriented, and capable of managing multiple priorities.

Desired:

• Master’s degree (MS/MBA) in Analytics, Statistics, Mathematics, Operations Research, or related field.

• Experience with big data tools and platforms (e.g., Hadoop, Spark)

• Familiarity with Agile methodologies.

• Experience with MLOps tools and model deployment frameworks

• Strong cross-functional business acumen, especially within manufacturing, supply chain, or procurement domains.

• Experience collaborating with IS/IT and data engineering teams on data architecture and pipelines.

• Strong communication and stakeholder management skills across all levels of the organization.

• Proven experience leading teams or large-scale initiatives with multiple workstreams.

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.