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Data Scientist Analyst Jobs in Tennessee (NOW HIRING)

This key role within Decision Science & Analytics will lead the ongoing development and execution ... Identify and implement proper data preparation and feature engineering methods, such as outlier ...

This key role within Decision Science & Analytics will lead the ongoing development and execution ... Identify and implement proper data preparation and feature engineering methods, such as outlier ...

The Data Scientist owns end-to-end execution-from problem framing and solution design to model ... Lead exploratory data analysis (EDA), data preparation, and feature engineering across diverse data ...

The Data Scientist owns end-to-end execution-from problem framing and solution design to model ... Lead exploratory data analysis (EDA), data preparation, and feature engineering across diverse data ...

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Data Scientist

Nashville, TN · On-site

$60K/yr

Data Scientist Location : Hermitage, TN Wage : $60,000 Job Duties : * Data Acquisition, Cleaning ... Exploratory Data Analysis (EDA) * * Conduct exploratory data analysis to identify trends, outliers ...

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 ...

The Data Scientist drives the organization's advanced analytics, machine learning, and AI initiatives, transforming data into actionable insights that support business decision-making and innovation.

Data Scientist

Franklin, TN · On-site

$90 - $130/hr

The Data Scientist drives the organization's advanced analytics, machine learning, and AI initiatives, transforming data into actionable insights that support business decision-making and innovation.

The ideal candidate is a highly analytical and technically sophisticated professional with deep expertise in data science methodologies, machine learning model development, and statistical analysis ...

The ideal candidate is a highly analytical and technically sophisticated professional with deep expertise in data science methodologies, machine learning model development, and statistical analysis ...

The ideal candidate is a highly analytical and technically sophisticated professional with deep expertise in data science methodologies, machine learning model development, and statistical analysis ...

... a Data Scientist. You'll be joining one of the top independent agencies in North America ... Why Join Tombras Analytics? Tombras Analytics sits at the cornerstone of Connecting Data ...

Data Scientist

Knoxville, TN · On-site

$110 - $150/hr

... Scientist. You'll be joining one of the top independent agencies in North America.Connecting Data ... Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and ...

Data Scientist

Knoxville, TN · On-site

$110 - $150/hr

... Scientist. You'll be joining one of the top independent agencies in North America.Connecting Data ... Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and ...

Responsible for leveraging advanced analytics, statistical modeling, machine learning, and data science techniques to drive data-informed decision-making across multiple business functions. Partners ...

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Data Scientist Analyst information

What is a data scientist analyst?

A Data Scientist Analyst is responsible for collecting, processing, and analyzing large datasets to extract meaningful insights that drive business decisions. They use statistical methods, machine learning, and data visualization tools to identify trends, patterns, and correlations. This role typically requires proficiency in programming languages like Python or R, as well as experience with databases and data manipulation tools. Data Scientist Analysts work closely with business stakeholders to translate data findings into actionable recommendations.

What are the key skills and qualifications needed to thrive as a data scientist analyst?

To thrive as a Data Scientist Analyst, you need strong analytical skills, knowledge of statistics and machine learning, proficiency in programming languages like Python or R, and typically at least a bachelor's degree in a related field. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and relevant certifications like Google Data Analytics or Microsoft Certified: Data Scientist Associate are commonly expected. Effective problem-solving, communication, and collaboration abilities are key soft skills for success in this role. These skills ensure that data-driven insights can be efficiently derived, interpreted, and communicated to support informed business decisions.

What are the typical career growth opportunities for a data scientist analyst?

As a Data Scientist Analyst, you can advance into roles such as Senior Data Scientist, Machine Learning Engineer, or Data Science Manager with experience and demonstrated expertise. Many organizations support professional development through mentorship programs, advanced training, or opportunities to lead key projects. Over time, building a robust portfolio of impactful analyses and data-driven recommendations can help propel your career forward. Collaboration across technical and business teams is common, providing a broad understanding of how data informs strategic decisions and opening pathways to leadership or more specialized analytics roles.

What are popular job titles related to Data Scientist Analyst jobs in Tennessee?

For Data Scientist Analyst jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Data Scientist Analyst jobs in Tennessee look for?

The top searched job categories for Data Scientist Analyst jobs in Tennessee are:

Infographic showing various Data Scientist Analyst job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Data Scientist

Goodlettsville, TN • On-site


Dollar General
Retail • 10K+ employees

4.0

Company rating: 4.0 out of 10

Based on 4,622 frontline employees who took The Breakroom Quiz

39th of 39 rated national retailers

Recommended by students

Respectful managers


Full-time

Posted 5 days ago


Job description

Work Where You Matter
At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive.
Company Overview

General Summary:

This key role within Decision Science & Analytics will lead the ongoing development and execution of the Company’s product shrink and damages forecasting and mitigation efforts. This role will work collaboratively with internal business partners (such as Asset Protection, Finance, and Merchandising), internal IT resources, and the broader Decision Science organization. Day to day work will include developing and monitoring predictive and deterministic models, automating analytics processes, and deep dive ad hoc analysis to determine root causes.


Job Details

Duties & Responsibilities:

  • Develop dynamic, productionized, and scalable models that generate ROI for both DG and their customers. These models may include predictive and time-series forecasts, store segmentations, or include geospatial components. 
  • Create automated, reusable analytics workflows from end-to-end: from developing and maintaining SQL/Python code to the final report or dashboard deliverable.
  • Conduct open ended ad hoc analysis, including understanding the key business problem/question, translating needs into the appropriate analytics techniques, and delivering insights and recommendations to drive decisions.
  • Present analytical findings and actionable insights in PowerPoint or PowerBI to stakeholders, “telling the story” with data to non-technical audience.

Knowledge, Skills and Abilities (KSAs):

  • Strong problem-solving skills utilizing expertise, business judgment and robust quantitative analyses.
  • Experience developing predictive models from scratch and moving into production environment, including model comparison/selection techniques, parameterization, error handling, and working across dev/test/prod environments.
  • Identify and implement proper data preparation and feature engineering methods, such as outlier identification and removal, principal components analysis (PCA), and general data structuring.
  • Experience developing code to combine, clean and prepare data for modeling using some combination of SQL, Python, and PySpark (including but not limited to pandas, numpy, scikit-Learn, matplotlib, tensor- flow).
  • Proficiency with common analytical platforms, including distributed compute, such as Databricks.
  • Practical experience ingesting and manipulating large volumes of data (millions of records).
  • Demonstrated ability to translate complicated analytics topics and insights into easily communicable concepts to non-technical audience, including model accuracy and feature importance.
  • Experience with geospatial analytics preferred.
  • Experience with code management tools such as GitLab.
  • Experience with retail industry preferred.
  • Basic to intermediate skills with BI tools such as Tableau and PowerBI preferred.

Qualifications

Work Experience &/or Education:

  • MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied quantitative field preferred.
  • Bachelor’s in a highly quantitative/STEM field considered with the right experience.
  • 2-5 years hands-on industry (non-academic) experience in Data Science (or equivalent quantitative job title).
  • Strong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries.
Qualifications:

Work Experience &/or Education:

  • MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied quantitative field preferred.
  • Bachelor’s in a highly quantitative/STEM field considered with the right experience.
  • 2-5 years hands-on industry (non-academic) experience in Data Science (or equivalent quantitative job title).
  • Strong background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries.
Education:UNAVAILABLEEmployment Type: FULL_TIME

Dollar General logo

About Dollar General

Sourced by ZipRecruiter

What started as a single store is now a 20+ billion dollar Fortune 119 company. With 140,000+ employees and counting, we’re growing fast and so can you. There are endless opportunities for you, including award-winning training programs and career paths in retail, distribution, transportation or corporate. The possibilities are endless!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Goodlettsville, TN, US


What Dollar General employees say

Pay

Benefits

Hours and flexibility

Workplace

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