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Data Science Assistant Jobs in Tennessee (NOW HIRING)

Monogram Health

Senior Data Scientist

Brentwood, TN · On-site

This position will report to the VP, Data Science with future direct reporting to the Director ... assist with daily needs such as access to food, eating healthy, transportation, financial ...

Tao Digital Solutions, Inc.

Data Scientist

Nashville, TN · On-site

$60K/yr

Data Acquisition, Cleaning & Preprocessing * * Assist in collecting, validating, and preprocessing ... Attend internal workshops and training sessions on data science tools and methodologies. * Stay ...

Nissan Motor Co., Ltd.

Data Scientist

Franklin, TN · On-site

... KPI's. * Assist in development, maintenance and management of advanced reporting, analytics ... Professional Certifications in AI or Data Science are advantageous. * Experienced in development of ...

Dollar General

Principal Data Engineer

Goodlettsville, TN · On-site

$107K - $129K/yr

... data scientists, business analysts, IT professionals, and management to assist with data-related technical issues and support their data infrastructure needs. 10% • Assemble and prepare large ...

Dollar General

Principal Data Engineer

Goodlettsville, TN · On-site

$107K - $129K/yr

... data scientists, business analysts, IT professionals, and management to assist with data-related technical issues and support their data infrastructure needs. 10% • Assemble and prepare large ...

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Data Science Assistant information

What is a data science assistant?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a data science assistant?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a data science assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

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

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

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 Assistant jobs in Tennessee? For Data Science Assistant jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Tennessee look for? The top searched job categories for Data Science Assistant jobs in Tennessee are:
What cities in Tennessee are hiring for Data Science Assistant jobs? Cities in Tennessee with the most Data Science Assistant job openings:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Tennessee as of August 2026, with employment types broken down into 6% Internship, 79% Full Time, 9% Part Time, 3% Temporary, and 3% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Assistant Professor of Computer Science / Data Science

FISK UNIVERSITY

Nashville, TN • On-site

Other

Re-posted 6 days ago

Job description

POSITION SUMMARY:
Fisk University Assistant Professor position in Computer Science/Data Science (Tenure-Track or Tenured) provides an excellent opportunity to establish a rigorous academic career based on curriculum innovation, scholarly work and academic service. The individual should ensure that students meet high academic standards while providing a nurturing and learner-centered environment in the classroom, laboratory or research setting, and via diverse modalities of instructional delivery. The individual has demonstrated experience and expertise in curriculum innovation, interdisciplinary studies and innovative teaching strategies. Teaching and scholarly excellence in the areas of speciality will be a high priority. Additionally, the individual is strongly urged to integrate instruction with research and community service. The individual should be able to work productively with students and colleagues of diverse ethnic and cultural backgrounds. The service on University committees and contribution to the development of the University's Mission and Vision is required. As Fisk University is in the booming downtown of Nashville, TN, there are collaborative opportunities with local high-tech industries. The department faculty members have successfully obtained several federally funded research grants (NSF/NIH) and the individual will have opportunities to establish a strong federally funded research program.
ESSENTIAL FUNCTIONS:
Primary responsibilities include teaching introductory and upper-division courses (12 credit hours per semester; and helping to develop and expand programs in Computer Science/Data Science. Excellence in teaching at the undergraduate level is essential. Understanding, support, and willingness to participate in the advancement of the liberal arts is required. An active research agenda that is open to participation of undergraduate and/or graduate students is expected. A Ph.D. in Computer Science, or a closely related field, is required.
SECONDARY FUNCTIONS:
Additional expectations of an Assistant Professor include participation in the Faculty Assembly, University service as an academic advisor or a student campus organization advisor and engagement in activities that generate professional development leading to demonstrated achievement and other mandatory campus events. The individual should express a zeal for and competence in grantsmanship and be supportive of the University's thrust to increase sponsored programs and outside funding.
SPECIFIC JOB KNOWLEDGE, SKILLS AND ABILITIES:
Extensive knowledge in Computer Science, Data Science or Information Technology. Proven excellence in teaching at the college level, genuine interest in teaching, collegiate behavior with peers and a sincere interest to extract the best from our students are important attributes of persons holding the position.
ORGANIZATIONAL RESPONSIBILITY:
None
A doctorate degree in Computer Science, Computer Engineering, Information Technology, Data Science or relevant areas. The potential for excellence in teaching and research.
Education: A doctorate degree in computer science or relevant areas.
Experience: None
Licenses or Certificates: None
Additional Requirements: A background and/or credit check will be required of the successful applicant. An official transcript (if applicable) and names, addresses and phone numbers of three (3) references will be required of the successful applicant.

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