Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Build and improve models and pipelines by developing basic data science models (or enhancing ... Experience with data visualization tools (e.g., Tableau, Power BI, or similar) * Strong ...
Data Science Visualization information
What is data science visualization?
How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?
What are the key skills and qualifications needed to thrive as a data science visualization specialist, and why are they important?
What is the difference between Data Science Visualization vs Data Analyst?
| Aspect | Data Science Visualization | Data Analyst |
|---|---|---|
| Required Skills | Data visualization tools, programming (Python, R), statistical knowledge | Excel, SQL, basic statistics, data reporting |
| Work Environment | Data science teams, research projects, advanced analytics | Business units, reporting, data cleaning |
| Industry Usage | Tech, finance, healthcare, research | Retail, marketing, finance, operations |
Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.
What are popular job titles related to Data Science Visualization jobs in Tennessee?
For Data Science Visualization jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Tennessee look for?
The top searched job categories for Data Science Visualization jobs in Tennessee are:
What cities in Tennessee are hiring for Data Science Visualization jobs?
Cities in Tennessee with the most Data Science Visualization job openings:

data scientist, Data & Analytics (Nashville, TN)
Madison, TN • On-site
Other
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 26 days ago
Key responsibilities
Extract, shape, and validate data using SQL and other frameworks to create datasets and processes that support measurement and decision-making.
Build and improve data science models and pipelines by developing models and creating data pipelines for training and outputs.
Communicate insights by explaining methodology, building dashboards/visualizations, and translating results into recommendations.
Starbucks rating
6.7
Based on 3,649 frontline employees who took The Breakroom Quiz
Job description
Now Brewing – Data Scientist! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and rich tradition, but also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Data Scientist, you’ll support business decisions by partnering on a cross-functional team to understand complex data relationships and build core data science models. You’ll use data to create insights, develop repeatable pipelines, and deliver decision-ready outputs that can be adopted into real workflows.
As a Data Scientist, you will…
- 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.
We’d love to hear from people with:
- 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 qualifications
- 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
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
*If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we’re together, which is why we’re onsite four days a week.
Join us and inspire with every cup. Apply today!
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.
What Starbucks employees say
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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