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Data Science Associate Jobs in Tennessee (NOW HIRING)

... Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field - At least 3 years of professional experience developing AI/ML systems, building full-stack ...

Stifel strives for a culture that puts its clients and associates first: a culture where everyone ... Bachelor's degree in Information Technology, Computer Science or Business Administration or ...

Why Stifel Stifel strives for a culture that puts its clients and associates first: a culture where ... Bachelor's degree in Information Technology, Computer Science or Business Administration or ...

Why Stifel Stifel strives for a culture that puts its clients and associates first: a culture where ... Bachelor's degree in Information Technology, Computer Science or Business Administration or ...

Lead Cloud Data Engineer

Memphis, TN · Hybrid

$99K - $131K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ... At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Why Stifel Stifel strives for a culture that puts its clients and associates first: a culture where ... Bachelor's Degree in Computer Science, related field, or equivalent experience. * Minimum Required ...

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Data Science Associate information

See Tennessee salary details

$52.2K

$61.8K

$117.1K

How much do data science associate jobs pay per year?

As of Jul 23, 2026, the average yearly pay for data science associate in Tennessee is $61,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $54,000.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Tennessee? The most popular types of Data Science jobs in Tennessee are:
What are popular job titles related to Data Science Associate jobs in Tennessee? For Data Science Associate jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Data Science Associate jobs? Cities in Tennessee with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 2% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $61,753 per year, or $29.7 per hour.
Post-Doctoral Research Associate: Department of Electrical Engineering and Computer Science - UTK

Post-Doctoral Research Associate: Department of Electrical Engineering and Computer Science - UTK

The University of Tennessee

Knoxville, TN • On-site

Full-time

Medical, Retirement, PTO

Posted 5 days ago


Job description


The research group of Dr. Suya in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville (UTK) is seeking a Postdoctoral Research Associate to contribute to externally funded research in trustworthy AI, adversarial machine learning, and the security of physical/cyber-physical AI systems. The position is for one year in the first instance, with the possibility of extension contingent on performance and funding. The successful candidate will lead and contribute to research projects at the intersection of trustworthy AI, security and privacy of cyber-physical and IoT systems, and physical-layer adversarial attacks against AI-enabled sensing and recognition systems. The position offers significant autonomy in shaping research directions, opportunities to co-author publications at top venues (CCS, NDSS, USENIX Security, IEEE S&P), mentor graduate/undergraduate students, and participate in proposal development for federal funding agencies (NSF, DARPA, ARO, DoE).
Responsibilities
  • Lead and participate in research projects in one or more of the following areas: trustworthy AI; security and privacy of cyber-physical and IoT systems; side-channel attacks and defenses on AI workloads; or physical-layer attacks against AI-enabled sensing and recognition.
  • Co-advise and mentor graduate and undergraduate student researchers on related projects.
  • Co-author publications at top venues (e.g., CCS, NDSS, USENIX Security, IEEE S&P).
  • Contribute to proposal development for federal funding agencies (e.g., NSF, DARPA, ARO, DoE).

Qualifications
Required Qualifications
  • Education: Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field (completed by start date).
  • Experience: Demonstrated record of peer-reviewed publications in security, machine learning, or cyber-physical systems.
  • Knowledge, Skills, Abilities: Strong programming skills (Python and/or C/C++) and experience with ML frameworks (PyTorch or TensorFlow); excellent written and verbal communication skills in English.

Preferred Qualifications
  • Education: Ph.D. with a dissertation focus in security, machine learning, cyber-physical systems, or a closely related area.
  • Experience: First-author publications at top-tier security venues (e.g., CCS, NDSS, USENIX Security, IEEE S&P); experience mentoring graduate or undergraduate researchers; service to the research community (paper reviewing, workshop organization).
  • Knowledge, Skills, Abilities: Expertise in one or more of: adversarial ML, side/covert channels, sensor-driven attacks, IoT/CPS security; background spanning both systems-level (embedded systems, signal processing, wireless/communications) and AI/ML research is a plus.

Work Location
  • Location: Knoxville, Tennessee
  • Onsite

Compensation and Benefits
  • Anticipated hiring range: Competitive, commensurate with experience. UTK provides comprehensive benefits including health insurance, retirement contributions, and paid time off.
  • Find more information on UT Benefits here

Application Instructions
For full consideration, please submit an application with the noted below attachments:
  • Curriculum Vitae (with full publication list)
  • Cover letter describing research interests, relevant experience, and career goals
  • Research statement (1-2 pages) on past work and proposed directions

All related inquiries should be directed to Fnu Suya at fsuya@utk.edu.
About The Department
The University of Tennessee, Knoxville (UTK) is an R1 research university located in Knoxville, Tennessee, with strong collaborative ties to Oak Ridge National Laboratory (ORNL) - one of the largest U.S. Department of Energy national laboratories - offering unique opportunities for joint research in AI security, cyber-physical systems, and high-performance computing.
The Min H. Kao Department of Electrical Engineering and Computer Science houses internationally recognized faculty and research programs spanning AI/ML, security, embedded and cyber-physical systems, computer architecture, and data science. Knoxville offers a low cost of living and quick access to the Great Smoky Mountains and Oak Ridge National Laboratory.
About Us
The University of Tennessee, Knoxville, has shaped leaders, changemakers, and innovative thinkers since its founding in 1794. The university is home to more than 38,000 students and 10,000 statewide employees-the Volunteers-who uphold the university's tradition of lighting the way for others through leadership and service.
UT Knoxville offers over 900 programs of study across 14 degree-granting colleges and schools. As Tennessee's flagship land-grant university, its footprint spans the entire state. The university holds the highest Carnegie classification for research activity and has deep partnerships with industry leaders and the US Department of Energy's largest multidisciplinary laboratory, Oak Ridge National Laboratory.
The Knoxville campus serves and recruits for UT Knoxville, including the Institute of Agriculture and the Space Institute, as well as the UT Institute of Public Service.
UT Knoxville considers its employees its number one asset. With values that focus on work-life balance, compensation, and innovation leadership, all Vols are supported to advance professionally. Employees have access to career development and coaching, continued education, and an extensive list of development and training possibilities. The Volunteer employee experience implements structures and practices to attract and retain top-tier talent, fostering a strong staff community and supporting a culture of involvement and engagement for everyone.
The university holds a strong commitment to its land-grant mission of learning and engagement, with a tradition of service and leadership that carries that Volunteer spirit throughout the state and around the world. It has been ranked nationally as "Best Employer for New Graduates," "One of America's Best Large Employers," and "Best Workplace for Women," and has been designated as "Best Place for Working Parents" by Forbes Magazine.
Apply today and join the Tennessee Volunteer community!