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Remote Amazon Data Science Jobs in Clinton, TN (NOW HIRING)

Research Associate 2

Oak Ridge, TN · On-site +1

$35.19 - $48.95/hr

Remote U.S. Based Locations) *SALARY RANGE: $35.19 - $48.95/per hour IMPORTANT NOTE: Please review ... Demonstrated research experience in computational biology, data science, bioinformatics, biomedical ...

Infrastructure Platform Engineer

Oak Ridge, TN · On-site +1

$102K - $134K/yr

On-site or Hybrid preferred (Oak Ridge, TN), but will consider remote Overview: The High ... This group provides state-of-the-art computational and data science infrastructure coupled with ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Senior I&C Engineer Energy - Remote

Oak Ridge, TN · On-site +1

$99K - $137K/yr

... data sheets, I/O list, etc., together with the supporting analysis/assessment documents and other ... About you * BS or MS degree in Chemical, Electrical, or Mechanical Engineering, or other science ...

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Remote Amazon Data Science information

What is the difference between Remote Amazon Data Science vs Remote Amazon Data Analyst?

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

What job categories do people searching Remote Amazon Data Science jobs in Clinton, TN look for?

The top searched job categories for Remote Amazon Data Science jobs in Clinton, TN are:

What cities near Clinton, TN are hiring for Remote Amazon Data Science jobs?

Cities near Clinton, TN with the most Remote Amazon Data Science job openings:

Data Scientist: Social Work Office of Research & Public Service - UTK

The University of Tennessee

Knoxville, TN • On-site, Remote

$75K - $80K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

The Data Scientist supports SWORPS and partner organizations through advanced data management, statistical analysis, predictive modeling, reporting automation, and data visualization. The position integrates and analyzes large-scale administrative, survey, and longitudinal datasets to generate actionable insights for policy, program improvement, and strategic decision-making. The position collaborates with multidisciplinary teams to develop analytic solutions, build reporting infrastructure, communicate findings, and support research and evaluation initiatives across multiple externally funded projects.

This is a grant-funded position and is contingent upon the continued funding of the grant. 

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! 

Required Qualifications

  • Education: Master's degree in data management; data science; statistics, or information science, or related fields
  • Experience:
    •  Minimum two years' experience working with large data sets to produce actionable insights for government or nonprofit agencies. 
    • Minimum two years' experience working with ARR, data visualization, and data analysis software in a human services setting.
  • Knowledge, Skills, Abilities: 
    • Knowledge of statistical analysis techniques.
    • Knowledge of database structures and data management principles.
    • Knowledge of survey methodology, knowledge of data visualization best practices.
    • Skill in statistical and database development software, for example, SQP, R, SPSS, Python, and Java.
    • Skill in data cleaning and transformation, skill in dashboard development and reporting.
    • Skill to communicate effectively with multiple stakeholders.
    • Ability to synthesize complex information for non-technical audiences.
    • Ability to manage multiple projects simultaneously, and ability to work collaboratively across disciplines

Applicants must be legally authorized to work in the United States on a full-time basis without need now or in the future for sponsorship for employment-based visa status.

Preferred Qualifications

  • Education:  Doctoral degree in data management; data science; statistics, or information science, or related fields
  • Experience: 
    • Two years' experience working with multidisciplinary teams. 
    • Two years' experience leading a team or a project.
  • Knowledge, Skills, Abilities: Knowledge of SQL, R, Tableau, Power BI, GIS software, or other advanced analytics and visualization tools.

Work Location:

  • This position is a fully remote position that can work throughout the United States.

Compensation and Benefits:

  • UT market range: MR12

  • Anticipated hiring range: $75,000 to $80,000

  • Find more information on the UT Market Range structure here

  • Find more information on UT Benefits here

Application Instructions:

To express interest, please submit an application with the noted below attachments:

  • Resume

  • Cover Letter

About The College/Department/Division:

The Social Work Office of Research and Public Service (SWORPS) is an applied research center of the University of Tennessee College of Social Work (CSW).  We are a dynamic and close-knit interdisciplinary team of individuals with a shared vision of thriving communities with equitable outcomes for all. We do that by building partnerships that leverage research, technology, and human connection to improve lives in Tennessee and beyond.

Over the past fifty years, SWORPS has worked with local nonprofits such as the United Way of Greater Knoxville, University of Tennessee departments and faculty researchers, state agencies such as the Tennessee Department of Human Services, and federal agencies like the Department of Housing and Urban Development. Our annual portfolio consists of 25-40 sponsored projects spanning a wealth of different content areas, but one common thread -each project contributes one more building block for thriving communities with equitable outcomes for all.

Learn more about SWORPS and some of our programs and resources by visiting our webpage: https://www.sworps.tennessee.edu/ 

  • Conduct predictive modeling, longitudinal analysis, statistical modeling, and data mining to support externally funded projects and partner needs. 

  • Integrate and analyze large-scale administrative, survey, and longitudinal datasets to generate actionable insights for policy, program improvement, and strategic decision-making. 

  • Develop automated analytic workflows and reproducible reporting systems to improve efficiency, transparency, and repeatability of analytic outputs.

  • Design, develop, and maintain reporting systems and dashboards that support monitoring, evaluation, and decision-making across projects. 

  • Develop data visualization products and business intelligence tools to communicate trends, findings, and performance indicators to varied audiences. 

  • Support database governance and quality assurance activities to promote data integrity, consistency, and appropriate use across reporting products.

  • Collaborate with researchers, evaluators, and external partners to scope analytic needs, refine research questions, and deliver data products aligned with project goals. 

  • Contribute to reports, presentations, publications, and dissemination activities by summarizing methods, interpreting results, and translating findings for technical and non-technical stakeholders.

  • Work with interdisciplinary teams to develop effective processes that support consistent and efficient use of data across multiple projects.