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Data Science Jobs in Portland, TN (NOW HIRING)

The Oracle Cloud Infrastructure Data Science and Analytics team is seeking a passionate, experienced Senior Data Scientist to tackle complex technical challenges of the Infrastructure Build processes ...

The Oracle Cloud Infrastructure Data Science and Analytics team is seeking a passionate, experienced Senior Data Scientist to tackle complex technical challenges of the Infrastructure Build processes ...

The Oracle Cloud Infrastructure Data Science and Analytics team is seeking a passionate, experienced Senior Data Scientist to tackle complex technical challenges of the Infrastructure Build processes ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

The Principal HR Data Analyst leverages advanced analytics, data science, and workforce insights to provide actionable recommendations and strategic guidance to HR leadership and business leaders.

You'll join a team where science meets real‑world impact. You'll design and train models for ... We're a cross‑functional group of applied scientists, software engineers, data engineers, and ...

New

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. * Advanced Education (Preferred): Master's degree or certifications in data analytics or ...

Showing results 21-40

Data Science information

See Portland, TN salary details

$34K

$111.4K

$178.3K

How much do data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science in Portland, TN is $111,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $123,400.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are popular job titles related to Data Science jobs in Portland, TN?

For Data Science jobs in Portland, TN, the most frequently searched job titles are:

What cities near Portland, TN are hiring for Data Science jobs?

Cities near Portland, TN with the most Data Science job openings:

Infographic showing various Data Science job openings in Portland, TN as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,399 per year, or $53.6 per hour.

director, data science- Coffeehouse Analytics (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,620 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes


Job description

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 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.
Join a transformative journey at the intersection of data, technology, and operations.
This strategic leadership role is pivotal in shaping how data science drives store development, staffing, deployment, experimentation, and market decisions across our coffeehouse network. You will lead multiple high-impact data science teams focused on building decision-support systems, optimization models, and experimentation frameworks that improve partner experience, operational efficiency, and business outcomes at scale.
As a director of data science, you will bring a strong product and people leadership mindset, balancing deep technical understanding with the ability to translate complex analytics into practical, actionable solutions. You will be a visible advocate for data science as a core capability for operational excellence and continuous improvement. This is a unique opportunity to lead a talented organization, influence enterprise decisions, and materially impact how Starbucks plans, operates, and learns.
As a director of data science - Coffeehouse Analytics, you will...
  • Lead End-to-End Decision Science for Operations: Own data science strategy across staffing, scheduling, routing and deployment, market planning analytics, and coffeehouse testing-ensuring models and insights directly inform real-world decisions.
  • Build and Scale High-Impact Teams: Lead, mentor, and grow multiple teams of data scientists and managers, fostering strong technical rigor, product thinking, and business partnership.
  • Operational Planning & Optimization Leadership: Guide the development of predictive, optimization, and diagnostic models that support labor planning, capacity management, deployment tradeoffs, and network performance.
  • Experimentation & Measurement Excellence: Oversee experimentation design, causal inference, and an internal test-and-learn framework that enables rapid, trustworthy learning across coffeehouses and markets.
  • Translate Analytics into Action: Partner closely with operations, finance, engineering, and field leaders to turn complex analytics into clear recommendations, tools, and decision frameworks.
  • Influence Through Storytelling: Communicate insights, tradeoffs, and model outputs in compelling ways to senior leaders, helping shape strategy, prioritization, and investment decisions.
  • Champion Adoption and Trust: Drive adoption of analytics products by ensuring they are usable, explainable, and embedded in operational workflows.
  • Build Durable Data Science Products: Apply systems thinking to design scalable, reusable analytical products that move beyond one-off analyses and support long-term capability building.
  • Strengthen Cross-Functional Collaboration: Work closely with data engineering, tools, and platform teams to ensure analytics solutions are production-ready, reliable, and extensible.

We'd love to hear from people with:
  • Proven experience leading data science or advanced analytics teams, ideally supporting retail operations, store development, or labor.
  • Strong background in applied analytics, including forecasting, optimization, experimentation, and decision-support systems.
  • Experience building and scaling analytical products that are used in day-to-day business decision-making.
  • In-depth experience with Python and reviewing production-quality analytical code.
  • Ability to translate complex quantitative work into clear, actionable insights for executive and operational audiences.
  • Strong cross-functional partnership and influencing skills, with a track record of driving outcomes through collaboration.
  • Experience mentoring and developing data scientists and people leaders.
  • Comfort operating in ambiguity and helping teams move from problem framing to scalable solutions.
  • Experience driving the evolution from descriptive reporting to predictive and prescriptive decision support, including demand forecasting, capacity diagnostics, and optimization under real-world constraints.
  • Comfort balancing statistical rigor, AI innovation, and practical business constraints.

Join us and help shape the future of data-driven operations at Starbucks. Apply today!
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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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