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Data Science Visualization Jobs in Tennessee (NOW HIRING)

AutoZone

Data Scientist, Marketing Analytics

Memphis, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience: 3-5 years in data science, marketing analytics, or applied statistics, ideally with ... Familiarity with Excel, cloud data warehouses and BI/visualization tools (Tableau, Looker, GCP, CDP)

AutoZone

Data Scientist, Marketing Analytics

Memphis, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience: 3-5 years in data science, marketing analytics, or applied statistics, ideally with ... Familiarity with Excel, cloud data warehouses and BI/visualization tools (Tableau, Looker, GCP, CDP)

Pwc

Data Scientist Sr. Manager - Consumer Markets

Nashville, TN · On-site

$91K - $321K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Science - Leveraging advanced skills in data visualization tools like QlikView and Spotfire - Demonstrating proficiency in business intelligence development and reporting tools - Applying analytical ...

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Data Science Visualization information

What is data science visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data science visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, 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 Science Visualization jobs near you
Infographic showing various Data Science Visualization job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 7% Part Time, and 17% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

data scientist, Data & Analytics (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,619 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes

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.

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