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Data Science Intern Jobs in Tennessee (NOW HIRING)

$61K - $85K/yr

Participates in the design, implementation and dissemination of advanced analytics and data science projects. Works with and advises key stakeholders to provide analysis and insights to enable data ...

This role combines advanced data science techniques with business partnership to identify opportunities, solve complex problems, and generate insights for decision support. The ideal candidate ...

Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. * Document code, methodologies, and results clearly and concisely. * Participate in the ...

Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. * Document code, methodologies, and results clearly and concisely. * Participate in the ...

Education and Experience » * 5+ years of experience in data analytics/data science. * 5+ years in SQL and experience working with relational databases. * 3+ years of Python (pandas, NumPy, scikit ...

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How much do data science intern jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data science intern in Tennessee is $20.43, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $22.26 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
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 cities in Tennessee are hiring for Data Science Intern jobs? Cities in Tennessee with the most Data Science Intern job openings:
data scientist, Data & Analytics (Nashville, TN)

data scientist, Data & Analytics (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Posted 14 days ago


Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,597 frontline employees who took The Breakroom Quiz

3rd of 15 rated cafes


Job description

Job Summary:
Starbucks is a company known for developing extraordinary leaders who are guided by their service to others. As a Data Scientist, you will support business decisions by partnering on a cross-functional team to understand complex data relationships and build core data science models to create insights and deliver decision-ready outputs.
Responsibilities:
• Extract, shape, and validate data using SQL (and other frameworks as needed) to create analytically-ready datasets and dimensional/relational processes that support measurement and decision-making.
• Build and improve models and pipelines by developing basic data science models (or enhancing existing ones) and creating data pipelines for model training and outputs within shared codebases.
• Communicate insights clearly by explaining methodology choices, building dashboards/visualizations to validate outputs and monitor model performance, and translating results into implications and recommendations.
Qualifications:
Required:
• 1+ year of experience in data science, applied analytics, or related work
• BA/BS or equivalent experience
• Proficiency with SQL and Python and/or R (data prep, pipelines, modeling)
• Working knowledge of common modeling techniques (e.g., regression, classification, decision trees, clustering, causal inference)
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
• Strong communication skills and attention to detail
Preferred:
• Degree concentration in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science, or similar)
• Advanced degree (MS or PhD) preferred.
• Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows)
• Experience supporting model measurement/monitoring through dashboards and performance reporting
Company:
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items. Founded in 1971, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.

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