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Data Science In Retail Media Jobs (NOW HIRING)

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Data Science In Retail Media information

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$37.5K

$122.7K

$196.5K

How much do data science in retail media jobs pay per year?

As of Jun 5, 2026, the average yearly pay for data science in retail media in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist in Retail Media, and why are they important?

To thrive as a Data Scientist in Retail Media, you need a strong background in statistics, data analysis, and programming (often in Python or R), usually supported by a degree in a quantitative field. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning platforms, along with familiarity with digital advertising analytics, is typically required. Strong problem-solving abilities, business acumen, and effective communication skills help translate data insights into actionable strategies for stakeholders. These skills are essential to drive better marketing performance, optimize customer experiences, and deliver measurable ROI in the fast-evolving retail media landscape.

What is Data Science in Retail Media?

Data Science in Retail Media refers to the use of data analysis, machine learning, and statistical techniques to optimize retail media strategies, such as personalized advertising and product recommendations, within retail environments. Data scientists in this field analyze customer behavior, sales data, and advertising performance to help retailers and brands make data-driven decisions. Their work helps improve targeting, increase sales, and enhance customer experiences both online and in physical stores.

What is the difference between Data Science In Retail Media vs Data Analyst in Retail Media?

AspectData Science In Retail MediaData Analyst in Retail Media
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data visualization, basic statistical analysis, Excel, SQL
Work EnvironmentDeveloping predictive models, algorithms, and insights for marketing strategiesInterpreting data, generating reports, supporting decision-making
Industry UsageCreating personalized ad targeting, optimizing campaigns, customer segmentationReporting campaign performance, data cleaning, trend analysis

Data Science In Retail Media focuses on building models and algorithms to predict customer behavior and optimize marketing efforts, requiring advanced technical skills. Data Analysts in Retail Media primarily interpret and report data to support marketing decisions, with a focus on data visualization and reporting. Both roles are essential but differ in complexity and technical depth.

How does a Data Science role in Retail Media typically collaborate with marketing and merchandising teams?

In Retail Media, data scientists frequently work alongside marketing and merchandising teams to analyze consumer behavior, optimize advertising campaigns, and personalize product recommendations. Collaboration often involves translating business objectives into data-driven strategies, sharing insights from large datasets, and developing models to forecast trends or measure campaign performance. This cross-functional teamwork is essential for aligning technical solutions with business goals, ensuring that data analysis directly supports revenue growth and customer engagement. Regular communication and joint problem-solving sessions are common, making strong collaboration skills highly valuable in this role.
Infographic showing various Data Science In Retail Media job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, 17% Hybrid, and 33% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior, Data Scientist - Performance Measurement & Insights

Sam's Club

Cave Springs, AR

$90K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Sam's Club rating

6.4

Company rating: 6.4 out of 10

Based on 1,968 frontline employees who took The Breakroom Quiz

17th of 39 rated national retailers


Job description

Position Summary...At Sam’s Club, we are member obsessed. We look to add value to Sam’s Club membership, and we partner with suppliers to bring unique and exciting values to our members. Sam’s Club Member Access Platform (MAP) is the nexus of the Supplier -Marketer- Merchant partnership and is responsible for delivering our suppliers (advertisers) impactful omnichannel advertising member experiences that are married with measurable insights.
Why the MAP MINDS Team?
The MAP Measurement, Insights and Data Strategy (MINDS) team is part of the Sam’s Club Member & Insights Center of Excellence org that is dedicated to supporting the retail media MAP business unit. It is comprised of two key workstreams - Performance Measurement & Insights team and Media Science & Experimentation team. MAP MINDS plays a critical role in MAP’s accelerated growth by bringing the power of 1st party deterministic membership data and advanced data science and innovative measurement approaches together to offer trusted data and insights to MAP advertisers and MAP internal teams.What you'll do...Business Measurement & Reporting
  • Develop and maintain scalable reporting solutions and dashboards for Sales and business stakeholders
  • Partner cross-functionally to identify automation opportunities and improve reporting efficiency
  • Analyze performance trends and translate findings into actionable insights
Strategy & Analytics
  • Support business case development and evaluate new initiatives through data-driven analysis
  • Conduct ad hoc analyses to explain revenue trends and campaign performance and measurement
  • Contribute to experimentation design (A/B testing) and measurement frameworks
  • Build quick automaton tools to drive quick data synthesis  
    Work with product on robust data analytical asks
  • Act as the primary point of contact for Sales, offering insights into metric movements and trends and providing data-driven insights. 
  • Lead and conduct ad hoc analyses, ranging from creating new metrics to identifying the root causes of revenue fluctuations.
  • Operate independently as the go-to analytics expert for day-to-day business needs.
  • This role requires strong stakeholder management, comfort with ambiguity, attention to detail, and the ability to operate in a fast-paced, entrepreneurial environment. As a staff data scientist, you will uphold high technical standards, deliver consistently, and lead by example.
What You’ll Bring
  • Minimum 2+ years of experience in data science
  • Strong executive presence and communication skills, with the ability to adapt messaging for different audiences
  • Strong SQL skills and proficiency in Python (PySpark preferred)
  • Experience with large data sets and cloud-based data platforms
  • Experience partnering with data scientists, engineers, and product managers to design, train, test, and deploy ML models
  • Exposure to experimentation, A/B testing, or performance measurement frameworks
  • Ability to translate business problems into analytical approaches
  • Strong communication skills and ability to work with cross-functional teams
  • Proven ability to manage multiple priorities independently in a cross-functional environment
  • Familiarity with sales processes and tools (e.g., Salesforce, quota and territory analytics)
  • Experience in retail media, advertising, or ad tech is a plus
Qualifications
  • MS (or equivalent experience) in Computer Science, Statistics, Applied Mathematics, Engineering, or related quantitative field
  • Strong knowledge of Python, SQL, PySpark, Machine Learning Libraries, Big Data processing systems in cloud environment is expected.
  • Experience working cross-functionally with product and technical teams
  • Familiarity with machine learning libraries and big data tools (e.g., Spark)
  • Sound knowledge of Ad tech and prior Retail Media working knowledge is a plus
  • Comfort working in a fast-paced, evolving environment
  • Comfortable with ambiguity and thrive in an environment with rapid change
At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet!
-Health benefits include medical, vision and dental coverage
-Financial benefits include 401(k), stock purchase and company-paid life insurance
-Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location).

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...3500 SE CLUB BLVD, BENTONVILLE, AR 72712-5182, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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