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Data Scientist Machine Learning Jobs in Tennessee

Nissan Motor Co., Ltd.

Data Scientist

Franklin, TN · On-site

The Data Scientist drives the organization's advanced analytics, machine learning, and AI initiatives, transforming data into actionable insights that support business decision-making and innovation.

Munich Re

Data Scientist, AI

Memphis, TN · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Munich Re

Data Scientist, AI

Chattanooga, TN · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

University of Rochester

$61K - $85K/yr

... machine learning capabilities. Works in partnership with team members to solve complex problems ... Creates and implements data science solutions to support analytical efforts and expand dashboard ...

AutoZone

Lead Data Scientist

Memphis, TN · On-site

At AutoZone, our Data Science team drives data-driven decision-making with a team of passionate and ... Build predictive models using machine learning and other techniques to support new initiatives.

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Tennessee

Data Scientist Machine Learning information

See Tennessee salary details

$34K

$111.4K

$178.3K

How much do data scientist machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data scientist machine learning in Tennessee is $111,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $123,400.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and skilled trades, are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
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Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $111,399 per year, or $53.6 per hour.
Data Scientist

Data Scientist

Nissan Motor Co., Ltd.

Franklin, TN • On-site

Full-time

Medical, Retirement

Re-posted 12 days ago

Nissan Motor rating

6.5

Company rating: 6.5 out of 10

Based on 205 frontline employees who took The Breakroom Quiz

38th of 44 rated automakers

Job description

Location: Franklin, TN
Job Schedule: Hybrid 4 days week Onsite
Education Requirement: Bachelor's Degree
Sponsorship: No
Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation
We're currently looking for a Data Scientist to join our team at our Nissan Americas HQ in Franklin, TN.
The Data Scientist drives the organization's advanced analytics, machine learning, and AI initiatives, transforming data into actionable insights that support business decision-making and innovation.
A Day in the Life:
  • Create and design technical solutions to meet business needs by translating end user's requirements and finding innovative, creative visualizations and tools. Must be capable of strategizing and brainstorming with the team to create a viable solution.
  • Develops 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.
  • Assist in development, maintenance and management of advanced reporting, analytics, dashboards and other BI solutions primarily using SQL, Python, Informatica Prep, Snowflake, AWS and Power BI.
  • Extracts, validates, and analyzes desired data using extraction tools.
  • Understand and utilize tools to store data effectively within the data mart or data lake solutions, online analytical processing, as well as maintaining 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.
  • Capable of participating in the ongoing iterative development process of the team's projects.
  • Participate in gathering requirements to improve existing systems from teams within the business to streamline workflow and processes.
  • Assist in documenting new processes, optimizations and terms in existing electronic data glossary.
  • Ability to balance multiple tasks simultaneously and transition between projects while working both independently and effectively in teams.
  • As necessary, perform other related duties of which the above are representative.

Who We're Looking for:
Job Knowledge and Skill:
  • 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.
  • Experienced in development of 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.
  • Proficient in Big Data management. Proficient 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.

Education:
Bachelor's degree in Information Technology/Computer Science, Mathematics/Statistics, Analytics, Business Technology or related field required. Master's degree preferred.
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 in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws.
It is Nissan's policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.
NISSAN FOR EVERYONE
People are our most valuable assets, and diversity and inclusion are the key to maximizing the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Our Corporate Diversity Initiative aims to improve business results by ensuring that our workplace and core businesses meet the unique 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 over 10 Business Synergy Teams (BSTs) across the U.S. and Canada that connect employees - with shared characteristics or interests - build allies, and foster a company culture where all employees feel supported and included.
Nissan also values inclusion in all areas of our business as we strive to mirror 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 diverse perspective which will help us continue to offer our customers competitively designed, market-driven products.
Join us as we carry our commitment to diversity and inclusion into the future.
Franklin Tennessee United States of America

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