Scientist Jobs in Tennessee
Scientist jobs in Tennessee are active across a range of sectors, including pharmaceutical research, agricultural science, environmental consulting, and federal defense and energy programs, with openings at every level from entry-level research assistants through senior principal scientists. The heaviest hiring concentrates in Nashville, Memphis, and Oak Ridge, where employers such as Oak Ridge National Laboratory, Vanderbilt University Medical Center, and Pfizer maintain long-term scientific workforces. The most in-demand specialties include analytical chemistry, materials science, and life sciences research. Find a role that fits below and apply directly.
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Showing 5 of 50+ 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 50 Scientist Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find Scientist JobsScientist Jobs by City in Tennessee
Where Tennessee roles are concentrated, by current openings.
Scientist Job Market in Tennessee
A snapshot from current Tennessee openings, updated as new roles post.
Who's Hiring
- St. Jude Children's Research Hospital18
- Tennessee State Government3
- FedEx2
- Tenet Healthcare2
- Vanderbilt Health2
Top Industries Hiring
- Healthcare & Medical Services
- Technology & Software
What Tennessee Employers Look For
The qualifications that appear most often in scientist jobs across Tennessee.
- Bachelor's degree in a natural science, chemistry, biology, or related field required
- Graduate degree preferred for independent research or senior scientist positions
- Laboratory safety training and experience with standard instrumentation such as HPLC or GC-MS
- Familiarity with Good Laboratory Practices or FDA regulatory compliance environments
- Experience designing experiments, analyzing data, and documenting findings in technical reports
- Strong written communication skills for presenting results to cross-functional teams
Scientist Jobs in Tennessee: Frequently Asked Questions
How do you become a scientist in Tennessee?
Most scientist roles in Tennessee require at minimum a bachelor's degree in chemistry, biology, environmental science, or a closely related field, though research positions at institutions like Oak Ridge National Laboratory or Vanderbilt typically expect a graduate degree. Tennessee does not issue a general scientist license, but roles in environmental consulting may require registration as a Professional Geologist through the Tennessee Department of Commerce and Insurance.
Which companies hire scientists in Tennessee?
Employers hiring scientists in Tennessee right now include St. Jude Children's Research Hospital, Tennessee State Government, and FedEx, based on current listings on Migrate Mate as of November 2026. Tennessee's concentration of federal energy research facilities, pharmaceutical manufacturers, and large academic medical centers means demand is consistent across the public and private sectors.
Which Tennessee cities have the most scientist jobs?
Memphis, Nashville, and Kingsport account for the most scientist openings in Tennessee. Nashville drives volume through its pharmaceutical, biotech, and health sciences industries, Memphis draws demand from agricultural research and logistics-adjacent environmental work, and Oak Ridge anchors a dense cluster of federal and contract research positions tied to the Department of Energy's national laboratory campus.
Are there remote scientist jobs in Tennessee?
Yes, but they're rare. Most scientist roles require hands-on laboratory or field work that cannot be done remotely. About 38% of scientist openings tied to Tennessee are remote or hybrid as of November 2026, and those positions tend to be in data analysis, regulatory affairs, or scientific writing rather than bench or field research.
How can I get hired as a scientist in Tennessee with little or no experience?
The most realistic entry path is through undergraduate research programs or internships at Tennessee institutions such as the University of Tennessee, Vanderbilt University, or Oak Ridge National Laboratory, which regularly bring on students and new graduates through cooperative education programs. Titles like laboratory technician, research associate, or field sampling technician are common entry points, and earning an EIT credential or completing OSHA laboratory safety training strengthens early applications.
Where can I find and apply to scientist jobs in Tennessee?
You can find and apply to scientist jobs in Tennessee on Migrate Mate, which lists current openings across the state. Find roles that fit your experience and specialization and apply directly to the employer.
See All 50 Scientist Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find Scientist Jobs