They are seeking a Data Science Manager to lead a team of data scientists and analysts, focusing on building models and applying advanced analytics to solve business problems while ensuring best ...
They are seeking a Data Science Manager to lead a team of data scientists and analysts, focusing on building models and applying advanced analytics to solve business problems while ensuring best ...
Data Science Analyst - Remote
Brentwood, TN · On-site +1
$75K - $87K/yr
Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related field * 3+ years of experience in a BI or analytics role focused on manipulating data and ...
Data Science Analyst - Remote
Brentwood, TN · On-site +1
$75K - $87K/yr
Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related field * 3+ years of experience in a BI or analytics role focused on manipulating data and ...
Data Science Tutor
Nashville, TN · Remote
$18 - $40/hr
What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...
Data Science Tutor
Nashville, TN · Remote
$18 - $40/hr
What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...
Data Science Tutor
Murfreesboro, TN · Remote
$18 - $40/hr
What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...
Data Science Tutor
Murfreesboro, TN · Remote
$18 - $40/hr
What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...
This role is responsible for building and managing a multidisciplinary team of Data Scientists, Data Analysts, and MLOps / AI Engineers focused on delivering innovative, production-ready AI solutions ...
This role is responsible for building and managing a multidisciplinary team of Data Scientists, Data Analysts, and MLOps / AI Engineers focused on delivering innovative, production-ready AI solutions ...
This role is responsible for building and managing a multidisciplinary team of Data Scientists, Data Analysts, and MLOps / AI Engineers focused on delivering innovative, production-ready AI solutions ...
This role is responsible for building and managing a multidisciplinary team of Data Scientists, Data Analysts, and MLOps / AI Engineers focused on delivering innovative, production-ready AI solutions ...
As a Data Science Manager, you'll lead a team of data scientists, decision scientists, and analysts to build models and apply advanced analytics to solve complex business problems. You'll coach ...
As a Data Science Manager, you'll lead a team of data scientists, decision scientists, and analysts to build models and apply advanced analytics to solve complex business problems. You'll coach ...
As a Data Science Manager, you'll lead a team of data scientists, decision scientists, and analysts to build models and apply advanced analytics to solve complex business problems. You'll coach ...
As a Data Science Manager, you'll lead a team of data scientists, decision scientists, and analysts to build models and apply advanced analytics to solve complex business problems. You'll coach ...
Now Brewing - director of data science - Coffeehouse Analytics! #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich ...
Now Brewing - director of data science - Coffeehouse Analytics! #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich ...
Now Brewing - director of data science - Coffeehouse Analytics! #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich ...
Now Brewing - director of data science - Coffeehouse Analytics! #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich ...
This role provides advanced analytics leadership for an analytics agile squad within the Business Analytics function. The Director is responsible for advancing how Sun Life US uses data science ...
This role provides advanced analytics leadership for an analytics agile squad within the Business Analytics function. The Director is responsible for advancing how Sun Life US uses data science ...
Director, Data Science
Nashville, TN · On-site
This role provides advanced analytics leadership for an analytics agile squad within the Business Analytics function. The Director is responsible for advancing how Sun Life US uses data science ...
Director, Data Science
Nashville, TN · On-site
This role provides advanced analytics leadership for an analytics agile squad within the Business Analytics function. The Director is responsible for advancing how Sun Life US uses data science ...
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 ...
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 ...
Data Scientist (Remote)
Nashville, TN · Remote
The ideal candidate is a highly analytical and technically sophisticated professional with deep expertise in data science methodologies, machine learning model development, and statistical analysis ...
Data Scientist (Remote)
Nashville, TN · Remote
The ideal candidate is a highly analytical and technically sophisticated professional with deep expertise in data science methodologies, machine learning model development, and statistical analysis ...
Data Scientist (Remote)
Nashville, TN · Remote
The ideal candidate is a highly analytical and technically sophisticated professional with deep expertise in data science methodologies, machine learning model development, and statistical analysis ...
Data Scientist (Remote)
Nashville, TN · Remote
The ideal candidate is a highly analytical and technically sophisticated professional with deep expertise in data science methodologies, machine learning model development, and statistical analysis ...
Data Scientist (Remote)
Nashville, TN · On-site +1
The ideal candidate is a highly analytical and technically sophisticated professional with deep expertise in data science methodologies, machine learning model development, and statistical analysis ...
Data Scientist (Remote)
Nashville, TN · On-site +1
The ideal candidate is a highly analytical and technically sophisticated professional with deep expertise in data science methodologies, machine learning model development, and statistical analysis ...
Data Scientist
Smyrna, TN · On-site
Bachelor's degree in Business Analytics, Data Science, Operations Research, Mathematics, Statistics, or related field (or equivalent certification). * 3+ years of hands-on experience in data science ...
Data Scientist
Smyrna, TN · On-site
Bachelor's degree in Business Analytics, Data Science, Operations Research, Mathematics, Statistics, or related field (or equivalent certification). * 3+ years of hands-on experience in data science ...
Data Scientist
Smyrna, TN · Hybrid
Bachelor's degree in Business Analytics, Data Science, Operations Research, Mathematics, Statistics, or related field (or equivalent certification). * 3+ years of hands-on experience in data science ...
Data Scientist
Smyrna, TN · Hybrid
Bachelor's degree in Business Analytics, Data Science, Operations Research, Mathematics, Statistics, or related field (or equivalent certification). * 3+ years of hands-on experience in data science ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience working in shared analytics/engineering environments (version control, documentation ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience working in shared analytics/engineering environments (version control, documentation ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience working in shared analytics/engineering environments (version control, documentation ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience working in shared analytics/engineering environments (version control, documentation ...
Internship Data Science Analytics information
See Franklin, TN salary details
$11.87 - $14.57
7% of jobs
$17.22 is the 25th percentile. Wages below this are outliers.
$14.57 - $17.26
18% of jobs
$17.26 - $19.96
22% of jobs
The median wage is $20.38 / hr.
$19.96 - $22.66
17% of jobs
$24.29 is the 75th percentile. Wages above this are outliers.
$22.66 - $25.36
18% of jobs
$25.36 - $28.05
8% of jobs
$28.05 - $30.75
5% of jobs
$30.75 - $33.45
1% of jobs
$33.45 - $36.15
0% of jobs
$36.15 - $38.85
2% of jobs
$38.85 - $41.54
1% of jobs
$11
$22
$41
How much do internship data science analytics jobs pay per hour?
As of Aug 26, 2026, the average hourly pay for internship data science analytics in Franklin, TN is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.
What is the difference between Internship Data Science Analytics vs Data Analyst Intern?
| Aspect | Internship Data Science Analytics | Data Analyst Intern |
|---|---|---|
| Required Credentials | Basic knowledge of statistics, programming (Python/R), and data tools | Similar skills, often with coursework in statistics or data analysis |
| Work Environment | Hands-on projects, collaborative teams, tech-focused companies | Data collection, cleaning, visualization tasks in various industries |
| Employer & Industry Usage | Tech firms, finance, healthcare, consulting | Retail, marketing, finance, tech |
Internship Data Science Analytics and Data Analyst Intern roles share similar skills and work environments, focusing on data handling and analysis. The main difference lies in scope: Data Science Analytics internships often involve more advanced statistical modeling and machine learning, while Data Analyst Intern roles emphasize data visualization and reporting. Both serve as entry points into data careers, with overlapping skills but different focus areas.
What to do in an internship data science analytics?
During a data science analytics internship, interns typically assist with data collection, cleaning, and analysis using tools like Python, R, or SQL. They work on real-world projects, develop models, and present insights to teams, gaining practical experience in data-driven decision making and analytics techniques.
What cities near Franklin, TN are hiring for Internship Data Science Analytics jobs?
Cities near Franklin, TN with the most Internship Data Science Analytics job openings:
Full-time
Re-posted 20 days ago
Starbucks rating
6.7
Based on 3,632 frontline employees who took The Breakroom Quiz
3rd of 16 rated cafes
Job description
Job Summary:
Starbucks is a company known for celebrating coffee and fostering connections. They are seeking a Data Science Manager to lead a team of data scientists and analysts, focusing on building models and applying advanced analytics to solve business problems while ensuring best practices and scalability in insights and machine learning solutions.
Responsibilities:
• Lead and develop a high-performing team by coaching, creating development plans, and building a culture of strong execution, collaboration, and continuous learning.
• Drive end-to-end data science delivery from problem framing and data preparation through modeling, performance assessment, and operationalization of insights/models.
• Set and scale best practices across coding standards, version control, documentation, data security, and analytics/engineering practices—removing roadblocks and aligning cross-functional partners.
Qualifications:
Required:
• BA/BS (or equivalent experience)
• 5–7+ years of experience in data science, analytics, or a closely related field
• Proficiency with Python or R, SQL, and relational databases
• Working knowledge of machine learning/statistical techniques (e.g., regression, decision trees, classification, causal inference, clustering)
• Experience with cloud data/analytics solutions (e.g., Azure or AWS)
• Experience managing and coaching a team, with strong written/verbal communication skills and attention to detail
Preferred:
• MS in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science) or equivalent advanced experience
• 8+ years managing a small team (approximately 2–4 people) and developing technical talent
• Experience with production ML practices (shared codebases, package creation, repositories, SDLC best practices), plus distributed processing/modern platforms (e.g., Databricks or similar)
• Experience with hyperparameter tuning and ongoing model performance monitoring (measurement, drift, stability)
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.
Starbucks is a company known for celebrating coffee and fostering connections. They are seeking a Data Science Manager to lead a team of data scientists and analysts, focusing on building models and applying advanced analytics to solve business problems while ensuring best practices and scalability in insights and machine learning solutions.
Responsibilities:
• Lead and develop a high-performing team by coaching, creating development plans, and building a culture of strong execution, collaboration, and continuous learning.
• Drive end-to-end data science delivery from problem framing and data preparation through modeling, performance assessment, and operationalization of insights/models.
• Set and scale best practices across coding standards, version control, documentation, data security, and analytics/engineering practices—removing roadblocks and aligning cross-functional partners.
Qualifications:
Required:
• BA/BS (or equivalent experience)
• 5–7+ years of experience in data science, analytics, or a closely related field
• Proficiency with Python or R, SQL, and relational databases
• Working knowledge of machine learning/statistical techniques (e.g., regression, decision trees, classification, causal inference, clustering)
• Experience with cloud data/analytics solutions (e.g., Azure or AWS)
• Experience managing and coaching a team, with strong written/verbal communication skills and attention to detail
Preferred:
• MS in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science) or equivalent advanced experience
• 8+ years managing a small team (approximately 2–4 people) and developing technical talent
• Experience with production ML practices (shared codebases, package creation, repositories, SDLC best practices), plus distributed processing/modern platforms (e.g., Databricks or similar)
• Experience with hyperparameter tuning and ongoing model performance monitoring (measurement, drift, stability)
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.
What Starbucks employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Starbucks
Sourced by ZipRecruiter
Starbucks Corporation is an American multinational chain of coffeehouses and roastery reserves. It is one of the largest coffeehouse chains in the world. Starbucks was founded in Seattle, Washington in 1971 by Jerry Baldwin, Zev Siegl, and Gordon Bowker. The company's initial focus was on selling whole coffee beans and coffee-making equipment. Over the years, Starbucks has expanded its operations and become known for its distinctive coffeehouse atmosphere and high-quality coffee products. The company offers a wide range of beverages, including various coffee-based drinks, teas, hot chocolates, and other specialty drinks. Starbucks also serves a variety of food items such as pastries, sandwiches, salads, and snacks. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. In addition to its traditional coffeehouses, Starbucks has expanded its brand to include different store formats. This includes drive-thru locations, express stores, and even upscale Reserve Roasteries and Reserve Bars that offer a more immersive coffee experience. Starbucks is also known for its ethical sourcing practices. The company has implemented programs such as Coffee and Farmer Equity (C.A.F.E.) Practices, which promote environmentally friendly and socially responsible coffee production. Starbucks has a commitment to ethically sourcing its coffee beans and has made efforts to support sustainable farming practices and improve the livelihoods of coffee farmers. The Starbucks brand has a global presence, with thousands of stores in countries around the world. It has become a symbol of premium coffee and a popular destination for coffee lovers worldwide. The company's success has made it an iconic brand and a significant player in the global coffee industry.
Industry
Food services and drinking places and restaurants
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US