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Data Science Analyst Jobs in Tennessee (NOW HIRING)

Robotics Technologies LLC

Data Scientist

Nashville, TN · On-site

$100 - $130/hr

Analytics & Anomaly Detection * Design and implement data anomaly detection systems to identify ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a ...

Oracle

Principal HR Data Analyst

Nashville, TN · On-site

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.

FOCUSPOINT

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 ...

Nissan Motor Iberica SA

Data Scientist

Franklin, TN · On-site

$90 - $130/hr

Hands on 5 to 7 years of Data Analytics experience with min 4 years of focus on Data Science experience required. Professional Certifications in AI or Data Science are advantageous.* Experienced in ...

Nissan Motor Co., Ltd.

Data Scientist

Franklin, TN · On-site

Hands on 5 to 7 years of Data Analytics experience with min 4 years of focus on Data Science experience required. Professional Certifications in AI or Data Science are advantageous. * Experienced in ...

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All JobsData Science Analyst JobsData Science Analyst Jobs in Tennessee

Data Science Analyst information

See Tennessee salary details

$30.9K

$75K

$123.4K

How much do data science analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science analyst in Tennessee is $75,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $88,000.00 per year, depending on experience, location, and employer.

What is a data science analyst?

Data Science Analysts are professionals who collect, process, and analyze large sets of data to uncover trends, patterns, and insights that help organizations make informed decisions. They use statistical methods, programming languages like Python or R, and data visualization tools to interpret data. Their work often supports business strategy, product development, or operational improvements by turning complex data into actionable information.

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

To thrive as a Data Science Analyst, you need a solid background in statistics, data analysis, and programming—often supported by a degree in a quantitative field. Familiarity with tools and languages such as Python, R, SQL, and data visualization software, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, is important. Strong problem-solving skills, curiosity, and the ability to communicate complex findings clearly help you stand out in this role. These skills enable effective data-driven decision-making and bridge the gap between technical analysis and business strategy.

What are some common challenges data science analysts face when working with cross-functional teams?

Data Science Analysts often collaborate with professionals from engineering, product, and business teams, which can present communication challenges due to varying levels of technical understanding. Translating complex analytical findings into actionable business insights requires strong communication skills and adaptability. Additionally, aligning data-driven recommendations with business objectives and timelines may require negotiation and flexibility to ensure project success.

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

AspectData Science AnalystData Analyst
Required SkillsStatistical analysis, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work EnvironmentData-driven projects, predictive modeling, advanced analyticsReporting, data cleaning, descriptive analysis
Common IndustriesTech, finance, healthcare, e-commerce

Data Science Analysts focus on predictive modeling and advanced analytics using programming and machine learning, while Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential in data-driven organizations, but Data Science Analysts typically require stronger technical skills and work on more complex projects.

What are the most commonly searched types of Data Science Analyst jobs in Tennessee?

The most popular types of Data Science Analyst jobs in Tennessee are:

What cities in Tennessee are hiring for Data Science Analyst jobs?

Cities in Tennessee with the most Data Science Analyst job openings:

Data Science Analyst jobs near you
Infographic showing various Data Science Analyst job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,006 per year, or $36.1 per hour.

Data Scientist

Robotics Technologies LLC

Nashville, TN • On-site

$100 - $130/hr

Other

Posted 15 days ago

Job description

Job Description: We are seeking a highly skilled Senior Data Scientist with strong experience in cloud-based data platforms (Google Cloud or similar), Python/PySpark development, and advanced time‑series forecasting. The ideal candidate will have deep supply chain domain expertise—preferably in Demand Forecasting—and a proven track record of building, training, and operationalizing predictive models at scale. This role will also focus on identifying data anomalies, creating alerting frameworks, and improving model accuracy through metric evaluation and tuning.

Key Responsibilities Model Development & Forecasting
  • Build, train, and deploy time‑series forecasting models using techniques such as XGBoost, Random Forest, Linear regression–based models, ARIMA, SARIMA, Holt‑Winters, Prophet / FBProphet.
  • Operationalize model pipelines using Google Cloud Platform (GCP) services (BigQuery, Cloud Composer, Dataproc, Cloud Run) or equivalent cloud technologies (AWS, Azure).
  • Perform feature engineering, hyperparameter tuning, model validation, and continuous improvement of forecasting pipelines.
Data Engineering & Cloud Expertise
  • Develop scalable data processing workflows using Python, PySpark, and SQL.
  • Work with large datasets and cloud‑native data environments for analytics and modeling.
  • Collaborate with data engineering teams to ensure robust data pipelines and high‑quality training data.
Analytics & Anomaly Detection
  • Design and implement data anomaly detection systems to identify volume, pattern, and trend deviations.
  • Build automated alerting frameworks for early warning of data or forecast issues.
  • Investigate root causes of anomalies and recommend long‑term fixes.
Accuracy Metrics & Optimization
  • Develop and maintain accuracy measurement frameworks (e.g., MAPE, RMSE, MAE, WAPE, Bias).
  • Continuously fine‑tune and optimize model performance based on metric evaluations.
  • Communicate model accuracy trends and insights to both technical and business stakeholders.
Domain Expertise – Supply Chain & Demand Forecasting
  • Apply strong domain knowledge in retail supply chain, inventory planning, replenishment, and demand forecasting.
  • Partner with business teams to translate forecasting needs into data science solutions.
Required Qualifications
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience as a Data Scientist with hands‑on model development.
  • Strong programming skills in Python, including PySpark and common data science libraries (Pandas, NumPy, SciPy, scikit learn).
  • Experience working with GCP or similar cloud platforms.
  • Hands‑on experience with time‑series forecasting, regression models, and ensemble methods.
  • Strong SQL experience and comfort with large‑scale datasets.
  • Ability to diagnose data issues, perform anomaly analysis, and build automated alerting solutions.
Preferred Qualifications
  • Experience in retail, supply chain, inventory, or demand forecasting systems.
  • Exposure to MLOps practices (CI/CD, model monitoring, retraining pipelines).

ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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