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Data Science Manager Jobs in Madison, TN (NOW HIRING)

∙ Elijah House Foundation

Data Scientist

Goodlettsville, TN · On-site

$120 - $160/hr

This key role within Decision Science & Analytics will lead the ongoing development and execution ... Experience with code management tools such as GitLab. * Experience with retail industry preferred.

Posted today

Oracle

Principal HR Data Analyst

Nashville, TN · On-site

An advanced College or University degree in Data Science, Statistics, Data Management, Economics, Industrial/Organizational Psychology, or a related quantitative field * 8+ years of experience in ...

Pwc

US Tech - AI Engineering Manager

Nashville, TN · On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary At PwC ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

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Data Science Manager information

See Madison, TN salary details

$28.7K

$89.9K

$159.2K

How much do data science manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science manager in Madison, TN is $89,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $116,200.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

What are the most commonly searched types of Data Science jobs in Madison, TN?

The most popular types of Data Science jobs in Madison, TN are:

What job categories do people searching Data Science Manager jobs in Madison, TN look for?

The top searched job categories for Data Science Manager jobs in Madison, TN are:

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

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

Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Madison, TN as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $89,926 per year, or $43.2 per hour.

Data Scientist

∙ Elijah House Foundation

Goodlettsville, TN • On-site

$120 - $160/hr

Other

Posted 20 hours ago

Posted today

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.
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