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Retail Consumer Science Jobs (NOW HIRING)

Numerator

Director, Data Science

Chicago, IL · On-site

For more than a decade, Numerator has pioneered and led the science of representing consumer purchasing behavior across retailers, channels, brands, categories, demographics, and geographies. As ...

Numerator

Director, Data Science

Chicago, IL · On-site

For more than a decade, Numerator has pioneered and led the science of representing consumer purchasing behavior across retailers, channels, brands, categories, demographics, and geographies. As ...

Numerator

Director, Data Science

Chicago, IL

For more than a decade, Numerator has pioneered and led the science of representing consumer purchasing behavior across retailers, channels, brands, categories, demographics, and geographies. As ...

RICH PRODUCTS

Principal Sensory Scientist

Buffalo, NY · On-site

... retail, in-store bakery, deli, and prepared foods, among others. With more than 13,500 associates ... This role is a subject matter expert (SME) within Sensory and Consumer Science that will drive ...

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Retail Consumer Science information

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$15.5K

$59.4K

$72.5K

How much do retail consumer science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for retail consumer science in the United States is $59,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $58,500.00 per year, depending on experience, location, and employer.

What can I do with a Consumer Science degree?

A degree in Consumer Science prepares individuals for roles in market research, product development, retail management, and consumer behavior analysis. Professionals in this field often work with data analysis tools, conduct surveys, and develop strategies to understand and influence consumer preferences. Job opportunities are available in retail companies, marketing agencies, and consulting firms, often requiring strong analytical skills and knowledge of consumer trends.

What kind of job can you get with a family and consumer science degree?

A family and consumer science degree can lead to careers such as retail consumer scientist, consumer behavior analyst, or product development specialist. These roles often involve research, data analysis, and understanding consumer needs, and may require skills in communication, research methods, and familiarity with market analysis tools.

What are the key skills and qualifications needed to thrive in the Retail Consumer Science position, and why are they important?

To excel in Retail Consumer Science, you need a strong background in consumer behavior analysis, data interpretation, and market research, often supported by a relevant bachelor's or master's degree. Familiarity with statistical analysis software, retail analytics platforms, and data visualization tools is commonly required. Excellent communication, critical thinking, and collaboration skills help you translate insights into actionable retail strategies. These abilities are essential for driving sales, enhancing customer experience, and making informed, data-driven business decisions in a competitive retail environment.

What is the highest paying job in retail?

In retail, executive roles such as Chief Operating Officer (COO) or Vice President of Retail typically have the highest salaries, often exceeding six figures. These positions require extensive experience, leadership skills, and strategic planning, and they oversee large teams and store networks.

What is retail and Consumer Science?

Retail Consumer Science is a field focused on studying consumer behavior, preferences, and purchasing patterns within retail environments. Professionals in this area analyze data, conduct market research, and apply insights to improve sales strategies, product placement, and customer experience using tools like surveys and data analysis software.

What is a Retail Consumer Science job?

A Retail Consumer Science job focuses on understanding consumer behavior, market trends, and retail strategies to improve the shopping experience and drive sales. Professionals in this field analyze data, study purchasing patterns, and develop strategies to enhance customer engagement. They may work in roles related to merchandising, marketing, or consumer research. This job often involves collaborating with various departments to optimize product placement, pricing, and promotions. It requires analytical skills, knowledge of retail operations, and an understanding of how consumers interact with brands.

What are the typical day-to-day responsibilities for someone working in Retail Consumer Science?

Professionals in Retail Consumer Science typically analyze shopper data, identify purchasing patterns, and collaborate with merchandising, marketing, or product teams to optimize strategies. You may conduct consumer surveys, interpret in-store or online retail analytics, and create reports that inform business decisions. Regular tasks also involve recommending changes to store layouts, product mixes, or marketing campaigns based on collected insights. Teamwork and frequent communication across multiple departments are often essential aspects of the job, making it both dynamic and highly collaborative.

More about Retail Consumer Science jobs
What cities are hiring for Retail Consumer Science jobs? Cities with the most Retail Consumer Science job openings:
What are the most commonly searched types of Retail Consumer Science jobs? The most popular types of Retail Consumer Science jobs are:
What states have the most Retail Consumer Science jobs? States with the most job openings for Retail Consumer Science jobs include:
What job categories do people searching Retail Consumer Science jobs look for? The top searched job categories for Retail Consumer Science jobs are:
Retail Consumer Science jobs near you
Infographic showing various Retail Consumer Science job openings in the United States as of July 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $59,404 per year, or $28.6 per hour.
Director, Data Science

Director, Data Science

Numerator

Chicago, IL • On-site

Full-time

Posted 4 days ago

Job description

At Numerator, understanding consumers begins with one of the industry's richest and most comprehensive views of real-world purchasing behavior. For more than a decade, Numerator has pioneered and led the science of representing consumer purchasing behavior across retailers, channels, brands, categories, demographics, and geographies.
As Director of Data Science, you will lead the team responsible for Numerator's consumer panel - the quality, currency, and representativeness of the signal at the heart of our data. Your team owns how well the panel reflects the population, how we understand where it doesn't, and the methodologies that keep it accurate, current, and trustworthy. You'll partner closely with Market Science, Engineering, Product, and GTM to turn that signal into products and estimates clients rely on.
We're looking for a leader who enjoys challenging assumptions, translating client needs into innovation, and developing exceptional data scientists. You should be equally comfortable debating statistical methodology, mentoring a team, partnering with Engineering and Product, and explaining complex concepts in language that drives better business decisions.
What You'll Do:
Team Leadership:
  • Lead, coach, and develop a team of data scientists and data science managers focused on consumer behavior, panel methodology, and measurement science
  • Grow the leaders on your team - developing managers, not only individual contributors - and raise the technical bar through mentorship, methodology reviews, and adoption of modern statistical approaches
  • Foster a culture of scientific curiosity, rigor, and peer review, where decisions are grounded in evidence and healthy debate rather than precedent or intuition
  • Build an AI-native data science team by thoughtfully integrating AI into research, experimentation, software development, and scientific workflows - helping scientists move faster while maintaining rigorous standards
  • Maintain regular engagement with clients to deepen understanding of their challenges, build confidence in Numerator's methodology, and keep client needs central to the team's priorities

Consumer Science & Methodology
  • Own the quality, currency, and representativeness of the panel signal end to end - advancing methods for attribution completeness, compliance, anomaly detection, and keeping panelist demographics current
  • Characterize how the panel represents - and mis-represents - the population, treating that as a first-class, proactive modeling discipline rather than reactive data cleanup
  • Steward the panel as a living asset, partnering across the business on recruitment, engagement, and panel health, and turning evidence of where the panel is thin into targeted, prioritized investment
  • Design methodologies that improve the stability, consistency, explainability, and scientific defensibility of Numerator's consumer data

Statistical Innovation
  • Challenge existing approaches through first-principles thinking, and research, prototype, and productionize new statistical and machine learning methods where they strengthen the platform
  • Partner with Market Science to advance the statistical foundations of Numerator's products

Cross-Functional Leadership
  • Partner closely with Market Science, Engineering, Product, and GTM - contributing the deep panel understanding that powers the broader measurement system, and translating scientific advances into scalable product capabilities
  • Communicate complex technical concepts clearly to technical and non-technical audiences
  • Balance scientific rigor with practical business impact and client value

Skills & Requirements
  • 8+ years applying advanced statistical modeling to large, complex, real-world datasets
  • Experience leading data science teams, including developing managers or leading through other leaders
  • Deep expertise in statistical modeling, machine learning, and probabilistic reasoning
  • Strong grounding in panel, survey, or sampling methodology - weighting, representativeness, and measurement science
  • Experience working with noisy observational data and developing methods to improve data quality, representativeness, or inference
  • Experience developing production methodologies rather than exploratory analyses, and designing statistical systems rather than simply applying existing techniques
  • Strong programming skills in Python, with working knowledge of SQL
  • Excellent communication skills, with the ability to explain complex statistical concepts to diverse audiences, including external/client audiences

You'll stand out if you have:
  • Experience with Bayesian statistics, hierarchical modeling, probabilistic inference, or state-space models
  • Experience with causal inference, experimental design, or behavioral modeling
  • Experience developing statistical methods for consumer, retail, marketing, or longitudinal datasets
  • A demonstrated ability to challenge existing methodologies and introduce new scientific approaches into production
  • A systems-thinking approach that considers how improvements in one area influence the broader measurement platform

There is strength in numbers - We are the Numerati
Numerator is 2,000 employees strong. We have the confidence to be real and embrace what makes each Numerati unique. Our diverse experiences, ideas and backgrounds fuel our innovation.
Being part of the Numerati means that we'll take care of you! From our Recharge Days, maximum flexibility policy, wellness resources for employees and their families, development opportunities and much more - we're always finding ways to better support, celebrate and accelerate our team.

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