Data Scientist

Türkiye·İzmirmid

Data ScientistData

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Key Responsibilities

Career Growth and Continuous Learning Opportunities: Benefit from diverse career paths, cross-departmental moves, and innovative learning platforms. Enhance your skills through seminars,

Requirements Summary

Bachelors Degree Sponsorship: No Come Drive Innovation with Us. We are currently looking for a Data Scientist to join our team in Smyrna, TN. In this role,

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Data ScientistData

Requirements

~1 min read

In this role, you'll lead data science projects that help solve complex business and operational challenges across the organization. You'll work closely with business stakeholders and technical teams to identify opportunities, develop analytical and machine learning solutions, and drive projects from initial concept through deployment.

The position requires a strong mix of technical expertise and business understanding, as well as the ability to work independently, influence cross-functional teams, and mentor junior team members while delivering measurable business value.

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.

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.

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.

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 We Offer

~1 min read

People are our most valuable assets, and Nissan seeks to maximize the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Nissan aims to improve business results through a workplace and business that meets the needs of our employees and customer base.

Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard. We have Business Synergy Teams (BSTs) across the Americas that are open to all employees and seek to connect employees through common interests and foster a company culture where all employees feel supported and included.

Nissan also values inclusion in our business as we respect and recognize the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products, and communicating from a position that will help us continue to offer our customers competitively designed, market-driven products.

Join us as we carry our commitment to our employees and customers into the future.

Smyrna Tennessee United States of America