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Entry Level Data Science Jobs in Tennessee (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Nashville, TN

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... 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 Data Science information

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$17

$24

How much do entry level data science jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for entry level data science in Tennessee is $17.29, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $19.42 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
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 Entry Level Data Science jobs in Tennessee? For Entry Level Data Science jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Tennessee look for? The top searched job categories for Entry Level Data Science jobs in Tennessee are:
What cities in Tennessee are hiring for Entry Level Data Science jobs? Cities in Tennessee with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Tennessee as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $35,968 per year, or $17.3 per hour.
Project Scientist IV

Project Scientist IV

Barge Design Solutions

Knoxville, TN

Other

Posted 17 days ago

Job description

Barge Design Solutions is seeking a dedicated and knowledgeable Project Scientist IV to join our Environmental & Natural Resources team in either the Nashville, Memphis, Knoxville, Tennessee, or Atlanta, Georgia offices. In this role, you will be responsible for conducting ecological assessments, wetland delineations, wildlife habitat evaluations, and permitting in support of a variety of projects across multiple industries. You will work closely with project teams to ensure environmental compliance and contribute to sustainable design solutions.

The ideal candidate has a strong background in biology or environmental science, with hands-on experience in fieldwork, data collection, and environmental permitting. Familiarity with federal, state, and local environmental regulations, particularly in the southeastern U.S., is essential.

If you are passionate about conservation, ecological assessments, and regulatory compliance, and looking for an opportunity to work in a collaborative, forward-thinking environment, we encourage you to apply!

Responsibilities:

  • Lead Scientist on various conventional projects
  • Mentors and may review work of entry level staff for quality purposes
  • Provides direction to other scientists on challenging issues providing guidance for resolution
  • Up to 80-percent of work is in the field and could involve local and overnight travel
  • Working knowledge of federal, state and local agency jurisdictional determinations and experience in permit applications and the submittal process with state and federal agencies
  • Strong working knowledge of GIS and other essential equipment needed for field and office work
  • Assist Project Managers in acquisition of new and existing clients
  • Conducts on-site visits to monitor progress of projects as needed ensuring compliance and alignment of work to ensure projects progression as needed and defined.  If issues arise, adjusts plans as appropriate and communicates changes with appropriate stakeholders

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