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Computer Science Science Jobs in Nashville, TN (NOW HIRING)

Senior Data Scientist

Nashville, TN · On-site

$100K - $209K/yr

Bachelor's degree, or equivalent practical experience, in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Economics, or a related quantitative field. * Strong foundation ...

Bachelor's degree in data science, Computer Science, Statistics, or a related field; Master's degree preferred * Minimum of five (5) years of experience performing quantitative analyses, preferably ...

Bachelor's degree in Information Technology/Computer Science, Mathematics/Statistics, Analytics, Business Technology or related field required. Master's degree preferred. What You'll Look Forward to ...

Ability to explain computational thinking, abstraction, iteration, recursion, and software development life cycle while preparing students for computer science coursework and software engineering ...

Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine ...

Principal Data Engineer

Goodlettsville, TN

$107K - $129K/yr

Python, SQL, GoLang) • Knowledge with SQL database design concepts and Data Models • Great numerical and analytical skills • Degree in Computer Science, IT, or similar field; a Master's is a ...

Showing results 41-60

Computer Science Science information

See Nashville, TN salary details

$23.7K

$46.7K

$76.3K

How much do computer science science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for computer science science in Nashville, TN is $46,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,200.00 and $50,200.00 per year, depending on experience, location, and employer.

What jobs does a computer science degree get?

A computer science degree can lead to roles such as software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, often within technology or IT environments.

What can I do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and problem-solving, often requiring knowledge of programming languages, databases, and operating systems.

What is the difference between Computer Science Science vs Software Developer?

AspectComputer Science ScienceSoftware Developer
Required CredentialsBachelor's or higher in Computer Science, related fieldsBachelor's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, academia, tech companiesTech companies, startups, corporate IT teams
Employer & Industry UsageUniversities, research institutions, tech firmsSoftware firms, IT departments, app development
Common Search & ComparisonFocuses on theoretical and foundational aspectsFocuses on building and maintaining software applications

Computer Science Science and Software Developer roles share foundational knowledge in programming and computing. However, Computer Science Science emphasizes theoretical research, algorithms, and foundational principles, often in academic or research settings. In contrast, Software Developers focus on designing, coding, and deploying software solutions in practical, industry environments. Both roles require similar educational backgrounds but serve different career paths within the tech industry.

What careers are under computer science?

Computer science offers a wide range of careers including software developer, systems analyst, cybersecurity analyst, data scientist, network administrator, and database administrator. These roles often require knowledge of programming languages, algorithms, and computer systems, and may involve working in offices, labs, or remotely depending on the position.
What cities near Nashville, TN are hiring for Computer Science Science jobs? Cities near Nashville, TN with the most Computer Science Science job openings:
Infographic showing various Computer Science Science job openings in Nashville, TN as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $46,741 per year, or $22.5 per hour.

Sr. Director, Decision Science & Business Intelligence

Dollar General

Goodlettsville, TN • On-site

Full-time

Re-posted 27 days ago


Dollar General rating

4.0

Company rating: 4.0 out of 10

Based on 4,589 frontline employees who took The Breakroom Quiz

39th of 39 rated national retailers


Job description


Company Overview

Responsible for leading the strategy, execution, and transformation of decision science and AI-driven capabilities across Dollar General’s Retail Media (DGMN), marketing, merchandising, personalization, and digital product ecosystems. This role moves seamlessly between strategic leadership and hands-on analytical execution, including research, hypothesis development, and rapid prototyping—while developing business solutions to accelerate learning and improve decision quality, with a focus on scaling decisioning and automation across enterprise workflows. The Senior Director partners closely with business and IT leaders to align data capabilities with enterprise priorities, building scalable systems that enhance customer engagement, merchandising effectiveness, and digital product performance.


Job Details

Duties & Responsibilities:

    • Lead analytics and AI strategy for Retail Media (DGMN), enterprise marketing, and personalization, including campaign optimization, segmentation, targeting, attribution, and experimentation frameworks.
    • Partner with IT, data engineering, and product teams to build and scale AI-driven decisioning capabilities across marketing, merchandising, and digital products.

      Lead the development of business solutions that automate workflows and embed data-driven decisioning into enterprise systems and business processes.

    • Assists in developing and scaling analytics capabilities for digital products, including website, mobile app, and customer experience features (e.g., site search, navigation, recommendations), enabling performance measurement and customer journey optimization

    • Apply advanced analytics to merchandising decisions, including assortment insights, promotional effectiveness, and customer-product analytics to improve sales and margin outcomes

    • Lead, coach, and develop directors, analysts, and data scientists while building organizational capabilities in advanced analytics, and product-centric decision-making.

    • Translate data into actionable insights and embed decision frameworks into tools, systems, and workflows to enable faster, more automated, data-driven decision-making


Qualifications

Knowledge, Skills and Abilities:

    • Deep expertise in marketing, retail media, digital products, and customer analytics, including experimentation, measurement, personalization, and segmentation strategies
    • Strong understanding of AI, machine learning, and advanced analytics techniques, with the ability to translate business problems into scalable AI-driven solutions
    • Proven ability to partner with IT, data engineering, and product teams to align business priorities with data, technology, and platform capabilities
    • Experience building and scaling data products, decision systems, and business solutions, including automation and integration into business workflows
    • Strong strategic thinking with the ability to connect analytics and AI initiatives to business outcomes across marketing, merchandising, and digital functions
    • Excellent communication and influence skills, with the ability to translate complex ideas into clear, actionable insights and drive executive alignment
    • Demonstrated leadership in building and developing high-performing teams across analytics and data science

Bachelor’s degree in business, analytics, economics, statistics, computer science, engineering, or a related field required; Master’s degree preferred
10+ years of progressive experience in analytics, data science, digital product analytics, or related fields, with significant experience in retail, ecommerce, or consumer-focused environments
Proven track record of leading enterprise analytics across multiple business functions, including marketing, merchandising, retail media, or digital products
Experience driving data transformation, including partnering with IT and data engineering teams to influence data architecture, platforms, and scaling of solutions
Demonstrated experience delivering business impact through advanced analytics, experimentation, personalization, and AI-driven decision-making
Experience leading large teams and complex, cross-functional initiatives in fast-paced, matrixed organizations

Qualifications:

Knowledge, Skills and Abilities:

    • Deep expertise in marketing, retail media, digital products, and customer analytics, including experimentation, measurement, personalization, and segmentation strategies
    • Strong understanding of AI, machine learning, and advanced analytics techniques, with the ability to translate business problems into scalable AI-driven solutions
    • Proven ability to partner with IT, data engineering, and product teams to align business priorities with data, technology, and platform capabilities
    • Experience building and scaling data products, decision systems, and business solutions, including automation and integration into business workflows
    • Strong strategic thinking with the ability to connect analytics and AI initiatives to business outcomes across marketing, merchandising, and digital functions
    • Excellent communication and influence skills, with the ability to translate complex ideas into clear, actionable insights and drive executive alignment
    • Demonstrated leadership in building and developing high-performing teams across analytics and data science

Bachelor’s degree in business, analytics, economics, statistics, computer science, engineering, or a related field required; Master’s degree preferred
10+ years of progressive experience in analytics, data science, digital product analytics, or related fields, with significant experience in retail, ecommerce, or consumer-focused environments
Proven track record of leading enterprise analytics across multiple business functions, including marketing, merchandising, retail media, or digital products
Experience driving data transformation, including partnering with IT and data engineering teams to influence data architecture, platforms, and scaling of solutions
Demonstrated experience delivering business impact through advanced analytics, experimentation, personalization, and AI-driven decision-making
Experience leading large teams and complex, cross-functional initiatives in fast-paced, matrixed organizations

Education:UNAVAILABLEEmployment Type: FULL_TIME

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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