Data Scientist Jobs in Tennessee
Data Scientist jobs in Tennessee are in strong and growing demand, concentrated in healthcare analytics, financial services, and logistics technology, with openings at every level from entry-level analyst to principal scientist. Nashville, Memphis, and Knoxville are the primary hiring hubs, anchored by established employers such as HCA Healthcare, FedEx, and Oak Ridge National Laboratory. The most sought-after specialties in the state are predictive modeling, clinical data analysis, and supply chain optimization. Find a role that fits below and apply directly.
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Showing 5 of 16+ Data Scientist jobs
Works as part of a team to employ scientific methods and data-discovery tools to find new patterns, insights, and relationships in big data; extract meaningful information from multiple large data sets and develop solutions that quickly and visually communicate results. Participates and collaborates in discussions across business and IT teams to understand data product needs. Analyzes data from various databases to drive optimization and improvement of product development and business strategies. Independently works on analyzing and interpreting data to identify trends, insights, and logical data driven solutions for business problems. Develops analytical models and algorithms which apply data to identify business improvement insights and inform the development of processes and tools (e.g. dashboards, other visualizations) for monitoring, analyzing, and evaluating analytical model performance. Ensures accuracy and quality of data, including reconciliation from disparate sources. Partners with other team members to collaborate with stakeholders, customers, and other functional teams. Works alongside other data scientists to understand business questions, identify opportunities to leverage data to drive business solutions, implement models, and monitor outcomes.
Essential Functions
- Works as part of a team to perform advanced analytics, including predictive Machine Learning (classification and regression, supervised and unsupervised modeling), inferential statistics, hypothesis testing, and qualitative analysis on large data sets that include both structured and unstructured data to develop crucial business insights and communicate to the business in an understandable way.
- Work as part of a team to develop and deploy analytical and machine learning models (with general understanding of data engineering and ML Ops)
- Independently works on analyzing and interpreting data to identify trends, insights, and logical data driven solutions for business problems.
- Develops analytical models and algorithms which apply data to identify business improvement insights and inform the development of processes and tools (e.g. dashboards, other visualizations)
- Designs and implements reporting dashboards and other visualizations that track and visually communicate key business metrics and provide actionable insights
- Participates in design sessions to implement experiments to answer targeted questions and solves known issues by actively engaging with business partners to understand key business challenges.
- Learn and become fluent working with and understand FedEx data
- Identifies internal and external information sources, builds effective working relationships with subject matter experts within FedEx and the external marketplace.
- Assists with knowledge transfer and training of business intelligence to the FedEx team as a subject matter expert; strongly influences the team by developing, institutionalizing and maintaining a data-driven analysis culture.
- Analyzes data from various databases to drive optimization and improvement of product development and business strategies.
- Ensures accuracy and quality of data, including reconciliation from disparate sources. Peforms other duties as assigned
Minimum Education
Bachelor's in data science, computer science, applied mathematics, data analytics, statistics, industrial engineering, or related quantitative field.
Minimum Experience
Zero (0) to three (3) years relevant experience required. Skills can be gained concurrently with education. Proficiency required in at least one programming language, such as (SQL, Python, R, Java, or similar language) and one visualization tool/package such as (Spotfire, Tableau, Power BI, ShinyApp, Plotly, Matplotlib, Seaborn or similar tool) required.
Knowledge, Skills, and Abilities
Proficient in at least one programming language, such as (SQL, Python, R, Java, etc.). Proficient in one visualization tools/packages, such as (Spotfire, Tableau, Power BI, ShinyApp, Plotly, Matplotlib, Seaborn). Exposure to relational database platforms, such as Teradata and Oracle. Experience in data mining, developing/implementing statistical models, machine learning models, algorithms, or visualizing data. Experience with statistical programming languages such as R, Python, SQL, and SAS required.
Exposure to Machine Learning modeling, including scripting and Machine Learning libraries in R, Python, or similar. Exposure with Cloud platforms, including storage, querying, and advanced analytics (Azure, GCP, AWS). Understanding of statistics with exposure to linear algebra. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to read, analyze, and interpret common technical journals, reports, and related documents. Exposure to data modeling, ETL (Extract-Transform-Load) concepts, query performance tuning and testing. Exposure to large datasets and the management of large data Experience data modeling, ETL (Extract-Transform-Load) concepts, query performance tuning and testing is a plus. Experience with visualization tools such as Tableau or Spotfire is a plus.
Ability to effectively present information to management, end users, co-workers, or vendors. Strong problem-solving skills. Strong written and verbal communication skills. Strong interpersonal skills. Ability to work on multiple projects and work as part of a team.
Preferred Qualifications:
Pay Transparency:
Pay:
Additional Details: This is a hybrid position located in Memphis, TN. Candidates must live within 50 miles of the campus location. Employees will be required to work at the FedEx campus location several times per week. Posting closes on: 11/2/2026 at 4:00 PM CST/5:00 PM EST.
For details on our comprehensive benefits, click here.
Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.
Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.
Applicants have rights under Federal Employment Laws:
- Know Your Rights
- Pay Transparency
- Family and Medical Leave Act (FMLA)
- Employee Polygraph Protection Act
E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services’ E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
- E-Verify Notice (bilingual)
- Right to Work Notice (English) / (Spanish)
Works as part of a team to employ scientific methods and data-discovery tools to find new patterns, insights, and relationships in big data; extract meaningful information from multiple large data sets and develop solutions that quickly and visually communicate results. Participates and collaborates in discussions across business and IT teams to understand data product needs. Analyzes data from various databases to drive optimization and improvement of product development and business strategies. Independently works on analyzing and interpreting data to identify trends, insights, and logical data driven solutions for business problems. Develops analytical models and algorithms which apply data to identify business improvement insights and inform the development of processes and tools (e.g. dashboards, other visualizations) for monitoring, analyzing, and evaluating analytical model performance. Ensures accuracy and quality of data, including reconciliation from disparate sources. Partners with other team members to collaborate with stakeholders, customers, and other functional teams. Works alongside other data scientists to understand business questions, identify opportunities to leverage data to drive business solutions, implement models, and monitor outcomes.
Essential Functions
- Works as part of a team to perform advanced analytics, including predictive Machine Learning (classification and regression, supervised and unsupervised modeling), inferential statistics, hypothesis testing, and qualitative analysis on large data sets that include both structured and unstructured data to develop crucial business insights and communicate to the business in an understandable way.
- Work as part of a team to develop and deploy analytical and machine learning models (with general understanding of data engineering and ML Ops)
- Independently works on analyzing and interpreting data to identify trends, insights, and logical data driven solutions for business problems.
- Develops analytical models and algorithms which apply data to identify business improvement insights and inform the development of processes and tools (e.g. dashboards, other visualizations)
- Designs and implements reporting dashboards and other visualizations that track and visually communicate key business metrics and provide actionable insights
- Participates in design sessions to implement experiments to answer targeted questions and solves known issues by actively engaging with business partners to understand key business challenges.
- Learn and become fluent working with and understand FedEx data
- Identifies internal and external information sources, builds effective working relationships with subject matter experts within FedEx and the external marketplace.
- Assists with knowledge transfer and training of business intelligence to the FedEx team as a subject matter expert; strongly influences the team by developing, institutionalizing and maintaining a data-driven analysis culture.
- Analyzes data from various databases to drive optimization and improvement of product development and business strategies.
- Ensures accuracy and quality of data, including reconciliation from disparate sources. Peforms other duties as assigned
Minimum Education
Bachelor's in data science, computer science, applied mathematics, data analytics, statistics, industrial engineering, or related quantitative field.
Minimum Experience
Zero (0) to three (3) years relevant experience required. Skills can be gained concurrently with education. Proficiency required in at least one programming language, such as (SQL, Python, R, Java, or similar language) and one visualization tool/package such as (Spotfire, Tableau, Power BI, ShinyApp, Plotly, Matplotlib, Seaborn or similar tool) required.
Knowledge, Skills, and Abilities
Proficient in at least one programming language, such as (SQL, Python, R, Java, etc.). Proficient in one visualization tools/packages, such as (Spotfire, Tableau, Power BI, ShinyApp, Plotly, Matplotlib, Seaborn). Exposure to relational database platforms, such as Teradata and Oracle. Experience in data mining, developing/implementing statistical models, machine learning models, algorithms, or visualizing data. Experience with statistical programming languages such as R, Python, SQL, and SAS required.
Exposure to Machine Learning modeling, including scripting and Machine Learning libraries in R, Python, or similar. Exposure with Cloud platforms, including storage, querying, and advanced analytics (Azure, GCP, AWS). Understanding of statistics with exposure to linear algebra. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to read, analyze, and interpret common technical journals, reports, and related documents. Exposure to data modeling, ETL (Extract-Transform-Load) concepts, query performance tuning and testing. Exposure to large datasets and the management of large data Experience data modeling, ETL (Extract-Transform-Load) concepts, query performance tuning and testing is a plus. Experience with visualization tools such as Tableau or Spotfire is a plus.
Ability to effectively present information to management, end users, co-workers, or vendors. Strong problem-solving skills. Strong written and verbal communication skills. Strong interpersonal skills. Ability to work on multiple projects and work as part of a team.
Preferred Qualifications:
Pay Transparency:
Pay:
Additional Details: This is a hybrid position located in Memphis, TN. Candidates must live within 50 miles of the campus location. Employees will be required to work at the FedEx campus location several times per week. Posting closes on: 11/2/2026 at 4:00 PM CST/5:00 PM EST.
For details on our comprehensive benefits, click here.
Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.
Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.
Applicants have rights under Federal Employment Laws:
- Know Your Rights
- Pay Transparency
- Family and Medical Leave Act (FMLA)
- Employee Polygraph Protection Act
E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services’ E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
- E-Verify Notice (bilingual)
- Right to Work Notice (English) / (Spanish)
See All 16 Data Scientist Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find Data Scientist JobsData Scientist Jobs by City in Tennessee
Where Tennessee roles are concentrated, by current openings.
Data Scientist Job Market in Tennessee
A snapshot from current Tennessee openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Automotive
- Healthcare & Medical Services
What Tennessee Employers Look For
The qualifications that appear most often in data scientist jobs across Tennessee.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Proficiency in Python or R for statistical modeling, data manipulation, and machine learning workflows
- Experience with SQL and working with large relational or cloud-based datasets
- Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Ability to communicate analytical findings clearly to non-technical stakeholders and business teams
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms
Data Scientist Jobs in Tennessee: Frequently Asked Questions
How do you become a data scientist in Tennessee?
Data science has no state-issued license in Tennessee, so the path runs through education and demonstrated skills. Most Tennessee employers expect at least a bachelor's degree in a quantitative field, with master's degrees preferred for senior roles. Building a portfolio of projects involving real datasets, contributing to open-source work, and completing industry certifications in machine learning or cloud platforms strengthens applications considerably for roles at Tennessee's major employers in healthcare, logistics, and research.
How much do data scientists make in Tennessee?
Data scientists in Tennessee earn a median of about $100,330 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $60,200 for the lowest 10% to over $156,160 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data scientists in Tennessee?
Employers hiring data scientists in Tennessee right now include Oracle, FedEx, and St. Jude Children's Research Hospital, based on current listings on Migrate Mate as of November 2026. Tennessee's concentration of large healthcare systems, federal research institutions, and logistics companies means consistent demand across multiple industry sectors throughout the year.
Which Tennessee cities have the most data scientist jobs?
Memphis, Nashville, and Tennessee have the most data scientist openings in Tennessee. Nashville drives the largest share of listings due to its dense concentration of healthcare corporations, financial services firms, and technology companies, while Memphis reflects demand from major logistics and supply chain operations, and Knoxville draws roles tied to Oak Ridge National Laboratory and the University of Tennessee research ecosystem.
Are there remote data scientist jobs in Tennessee?
Yes, and more than most fields. About 71% of data scientist openings tied to Tennessee are remote or hybrid as of November 2026, reflecting how well-suited the role is to distributed work. Modeling, analysis, and reporting work translates cleanly to remote arrangements, though roles requiring close collaboration with clinical or operations teams on-site tend to remain hybrid or fully in-person.
How can I get hired as a data scientist in Tennessee with little or no experience?
The most realistic entry path is applying for junior analyst or data analyst roles at Tennessee's large healthcare and logistics employers, where internal mobility into data science is common. HCA Healthcare and FedEx both run structured early-career programs that accept candidates with strong academic portfolios and internship experience. Building a public GitHub portfolio with end-to-end projects, pursuing a certification in a cloud platform, and targeting roles with titles like business intelligence analyst or data analyst associate gives candidates without direct experience a concrete foothold in the Tennessee market.
Where can I find and apply to data scientist jobs in Tennessee?
You can find and apply to data scientist jobs in Tennessee on Migrate Mate, which lists current Tennessee openings across industries including healthcare, logistics, financial services, and research. Find roles that fit your background and apply directly from the listings.
See All 16 Data Scientist Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find Data Scientist Jobs