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Internship Data Science R Jobs in Tennessee (NOW HIRING)

... such as Python, R, Java, JavaScript or C++. * Collaborating with data scientists to develop ... Providing technical guidance and mentorship to junior engineers or interns. * Documenting code ...

Senior data scientist. * Research various analytical approaches * Recommend and develop ... Python, R, SQL, Hive, Spark * Statistical analysis: To understand and work around possible ...

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related ... Proficient in SQL and data manipulation tools such as Excel, Python, or R. * BI Tools Experience:

Requires a Bachelor's or Master's in Data Science, Data Analytics or related quantitative field ... Data collection, reporting, and visualization systems including Tableau, SQL and R; Working with ...

Requires a Bachelor's or Master's in Data Science, Data Analytics or related quantitative field ... Data collection, reporting, and visualization systems including Tableau, SQL and R; Working with ...

... R for data analysis and modeling • Hands-on experience building dashboards and visualizations ... in Data Science, Statistics, Engineering, Operations Research, or related quantitative field ...

... R for data analysis and modeling • Hands-on experience building dashboards and visualizations ... in Data Science, Statistics, Engineering, Operations Research, or related quantitative field ...

... R for data analysis and modeling • Hands-on experience building dashboards and visualizations ... in Data Science, Statistics, Engineering, Operations Research, or related quantitative field ...

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Internship Data Science R information

What types of projects can I expect to work on during a Data Science Internship at R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What is an Internship Data Science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What are the key skills and qualifications needed to thrive as an Internship Data Science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.
What are the most commonly searched types of Data Science R jobs in Tennessee? The most popular types of Data Science R jobs in Tennessee are:
Senior/Lead Data Scientist, Data & Analytics (Nashville, TN)

Senior/Lead Data Scientist, Data & Analytics (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,570 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes


Job description

Now Brewing - Senior/Lead 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 that 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 Senior Data Scientist, you'll help guide business decisions by building and applying statistical and machine learning approaches to solve high-impact problems. You'll partner cross-functionally to turn ambiguous questions into measurable solutions-delivering insights and models that can be adopted into real business workflows.
As a Senior or Lead Data Scientist, you will...
  • Develop and apply analytical models (statistical and/or machine learning) to improve decision-making, performance, and customer/partner outcomes.
  • Translate business problems into data science solutions by defining approach, sourcing/validating data, and communicating clear recommendations to technical and non-technical stakeholders.
  • Operationalize your work by creating repeatable analysis/model pipelines, improving model performance over time, and contributing to shared standards (documentation, version control, reproducibility).

We'd love to hear from people with:
  • 4+ years in data science, applied analytics, or a closely related field
  • BA/BS in a quantitative field (or equivalent practical experience)
  • Proficiency with Python or R and SQL

Preferred qualifications:
  • MS/PhD in a quantitative discipline (or equivalent advanced experience)
  • Experience deploying or maintaining models in production environments (monitoring, retraining, performance measurement)
  • Experience with cloud analytics platforms (e.g., AWS or Azure) and/or distributed computing (e.g., Spark)
  • Familiarity with experiment design / causal inference and translating results into business actions
  • Demonstrated ability to mentor others and influence cross-functional partners toward adoption

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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