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Temporary Data Scientist Machine Learning Jobs in Tennessee

Nissan Motor Co., Ltd.

Data Scientist

Franklin, TN · On-site

  • Medical

  • Retirement

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.

Nissan Motor Manufacturing UK

Data Scientist

Franklin, TN · Hybrid

  • Medical

  • Retirement

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.

Accenture

Senior Data Scientist

Nashville, TN · On-site

... Data Scientist AI capabilities. The ideal candidate combines technical depth, business acumen ... Develop supervised and unsupervised machine learning solutions, including classification ...

Accenture

Senior Data Scientist

Morristown, TN · On-site

... Data Scientist AI capabilities. The ideal candidate combines technical depth, business acumen ... Develop supervised and unsupervised machine learning solutions, including classification ...

Oracle

Principal Machine Learning Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Automates machine learning workflows. Creates infrastructure and frameworks to monitor the ... Data Science. - Developsnovel metrics that provide analytical insights to non-technical ...

Oracle

Principal Machine Learning Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Automates machine learning workflows. Creates infrastructure and frameworks to monitor the ... Data Science. - Developsnovel metrics that provide analytical insights to non-technical ...

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Temporary Data Scientist Machine Learning information

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Tennessee?

The most popular types of Data Scientist Machine Learning jobs in Tennessee are:

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Tennessee?

For Temporary Data Scientist Machine Learning jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Temporary Data Scientist Machine Learning jobs in Tennessee look for?

The top searched job categories for Temporary Data Scientist Machine Learning jobs in Tennessee are:

What cities in Tennessee are hiring for Temporary Data Scientist Machine Learning jobs?

Cities in Tennessee with the most Temporary Data Scientist Machine Learning job openings:

Temporary Data Scientist Machine Learning jobs near you
Infographic showing various Temporary Data Scientist Machine Learning job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Nissan Motor Co., Ltd.

Franklin, TN • On-site

Full-time

Medical, Retirement

Re-posted 16 days ago

Nissan Motor rating

6.5

Company rating: 6.5 out of 10

Based on 206 frontline employees who took The Breakroom Quiz

39th 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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