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Entry Level Environmental Data Scientist Jobs in Tennessee

Tombras

Data Scientist

Knoxville, TN · On-site

This role will be foundational to our Data Science Team, which will partner with our Analytics ... Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment ...

Tombras

Data Scientist

Knoxville, TN · On-site

$110 - $150/hr

This role will be foundational to our Data Science Team, which will partner with our Analytics ... Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment ...

The Tombras Group

Data Scientist

Knoxville, TN · On-site

$110 - $150/hr

This role will be foundational to our Data Science Team, which will partner with our Analytics ... Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment ...

Dollar General

Data Scientist

Goodlettsville, TN · On-site

Experience developing predictive models from scratch and moving into production environment ... MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied ...

COMFORT SYSTEMS

Data Scientist I

Nashville, TN · On-site

$61 - $123/hr

Flexible work environments All the benefits listed above are subject to the terms of their ... General Summary This position for a developing data scientist who is excited to transform data into ...

New

Pwc

AI & GenAI Data Scientist - Manager

Nashville, TN · On-site

$99K - $232K/yr

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Environmental Data Scientist information

What does an entry level environmental data scientist do?

An Entry Level Environmental Data Scientist collects, analyzes, and interprets environmental data such as air, water, and soil quality. They use statistical methods and programming tools to help identify patterns and trends, supporting research and policy decisions. Often, they work under the guidance of senior scientists to prepare reports, visualize data, and ensure data quality. Their work helps organizations understand environmental impacts and develop solutions for sustainability.

What are the key skills and qualifications needed to thrive as an entry level environmental data scientist?

To thrive as an Entry Level Environmental Data Scientist, you need a background in environmental science or a related field, along with strong skills in data analysis and statistics. Familiarity with programming languages like Python or R, experience with GIS software, and knowledge of data visualization tools are typically required. Analytical thinking, attention to detail, and effective communication are valuable soft skills that help in interpreting and sharing complex findings. These competencies are crucial for generating reliable insights and informing environmental decision-making within organizations.

What types of projects and data sets do entry level environmental data scientists typically work with?

As an entry-level environmental data scientist, you will often work with diverse data sets such as air and water quality measurements, climate records, satellite imagery, and GIS data. Projects can include analyzing trends in pollution, modeling the effects of environmental policies, or creating data visualizations to support sustainability initiatives. You’ll collaborate closely with environmental engineers, researchers, and policy teams, often participating in both data cleaning and preliminary analysis before results are shared with stakeholders. This variety provides valuable exposure to real-world environmental issues and lays a solid foundation for career growth.

What is the difference between Entry Level Environmental Data Scientist vs Entry Level Environmental Analyst?

AspectEntry Level Environmental Data ScientistEntry Level Environmental Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; some roles may prefer certifications in data analysis or GISBachelor's in Environmental Science, Environmental Management, or related field; certifications in environmental regulations or GIS are common
Work EnvironmentData-focused roles often in labs, research institutions, or corporate sustainability teamsFieldwork, data collection, and reporting in government agencies, consulting firms, or NGOs
Employer & Industry UsageUsed in research, corporate sustainability, and environmental consultingCommon in government agencies, environmental consulting, and non-profit organizations

While both roles require a background in environmental sciences, the Environmental Data Scientist focuses more on data analysis, modeling, and programming, whereas the Environmental Analyst emphasizes data collection, reporting, and regulatory compliance. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Environmental Data Scientist jobs in Tennessee?

The most popular types of Environmental Data Scientist jobs in Tennessee are:

What are popular job titles related to Entry Level Environmental Data Scientist jobs in Tennessee?

For Entry Level Environmental Data Scientist jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Entry Level Environmental Data Scientist jobs in Tennessee look for?

The top searched job categories for Entry Level Environmental Data Scientist jobs in Tennessee are:

What cities in Tennessee are hiring for Entry Level Environmental Data Scientist jobs?

Cities in Tennessee with the most Entry Level Environmental Data Scientist job openings:

Entry Level Environmental Data Scientist jobs near you
Infographic showing various Entry Level Environmental Data Scientist job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Knoxville, TN • On-site

Tombras
51 - 200 employees
Learn more about Tombrasexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Tombras, a 600+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.
You'll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You'll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.
Why Join Tombras Analytics?
Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.
This role will be foundational to our Data Science Team, which will partner with our Analytics, Media, and Data-Ops Teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.
Where you'll be working: Knoxville, TN. Relocation assistance may be provided.
What you'll be doing:
  • Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the results.
  • Developing the framework and approach for marketing science and develop bespoke offerings.
  • Employing best in class tooling to develop proprietary Martech in partnership with the Technology and Media practices.
  • Identify new and innovative data sets that can be used to improve existing modeling work, or deliver net new models.
  • Clearly articulate statistical results to clients, ultimately leading to continued client engagement and implementation.

What you bring:
  • An M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research
  • (Optional) Experience in marketing science or advertising analytics
  • Mastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice Models
  • Strong competency with python, R, SQL, and other commonly used statistical tools
  • Client services mindset
  • Ability to influence clients and partner agencies to act on insights
  • Ability to distill complicated information into succinct graphical presentations for senior stakeholders.

Why you'll want to work at Tombras:
  • Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.
  • Dog-friendly offices
  • Flexible PTO
  • Generous parental leave for primary and non-primary caregivers
  • Medical (PPO or High Deductible option) for employee + dependents
  • 401(k) Participation
  • Employer-paid Dental & Vision
  • A company culture of promotions from within and an atmosphere allowing for varied and rapid career development.

Want more reasons to work at Tombras? Check out the latest Tombras News and Our Values.
Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.
Tombras is an E-Verify employer and participates in the E-Verify program.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.
Remote employees must be based in the United States.

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