ZipRecruiter

Log In

1

Seasonal Retail Consumer Science Jobs in Romeoville, IL

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 ...

Conagra Brands

Behavioral Science Manager

Chicago, IL · Hybrid

$109K - $159K/yr

Reporting to a Director of Behavioral Science, you will play an important part in helping the ... Lead synthesis and communication of market, retailer, and consumer trends; ensure relevant trends ...

SPINS

Director, Broker Partners

Chicago, IL · On-site +1

$135K - $150K/yr

SPINS retail consumer insights, analytics, and consulting services give our clients a competitive ... Data Science teams. * Advocate for broker partner needs within SPINS and facilitate alignment ...

Apex Systems

Senior IT Project Manager

Bolingbrook, IL · On-site

$129K - $130K/yr

It partners closely with AI/Data Science practice leads, AI Architecture, Engineering, Product, QA ... Experience in retail, consumer, digital commerce, loyalty, marketing technology, or other high ...

next page

Showing results 1-20

All JobsRetail Consumer Science JobsSeasonal Retail Consumer Science JobsSeasonal Retail Consumer Science Jobs in Romeoville, IL

Seasonal Retail Consumer Science information

See Romeoville, IL salary details

$15.8K

$60.6K

$73.9K

How much do seasonal retail consumer science jobs pay per year?

As of Aug 28, 2026, the average yearly pay for seasonal retail consumer science in Romeoville, IL is $60,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,400.00 and $59,600.00 per year, depending on experience, location, and employer.

What is a seasonal retail consumer science?

A Seasonal Retail Consumer Science job involves applying principles of consumer behavior and retail science to support sales and customer engagement during peak shopping periods, such as holidays or back-to-school seasons. Employees in this role often analyze consumer trends, assist with merchandising, and help retailers optimize product placement and promotions. The position is typically temporary, designed to meet increased demand, and may involve both customer-facing and analytical tasks. It's ideal for those interested in retail operations, marketing, and consumer psychology.

What are the typical responsibilities of a seasonal retail consumer science employee during peak seasons?

As a Seasonal Retail Consumer Science employee, you can expect to assist with collecting and analyzing customer feedback, supporting in-store product demonstrations, and helping retailers understand consumer preferences during high-traffic periods. You'll often collaborate with sales associates and merchandising teams to optimize product placement and promotions based on real-time data. This role is fast-paced, especially during holidays or promotional events, and requires adaptability as priorities can shift quickly to meet consumer demand trends.

What are the key skills and qualifications needed to thrive as a seasonal retail consumer science professional?

To thrive in Seasonal Retail Consumer Science, you need a foundational understanding of retail operations, consumer behavior, and basic sales or merchandising experience, often supported by coursework in marketing or consumer sciences. Familiarity with point-of-sale (POS) systems, inventory management tools, and data analysis software is typically required. Strong communication, adaptability, and teamwork are valuable soft skills, especially during high-traffic retail periods. These abilities ensure effective customer engagement, efficient store operations, and the ability to analyze consumer trends to drive sales during peak seasons.

What is the difference between Seasonal Retail Consumer Science vs Retail Data Analyst?

AspectSeasonal Retail Consumer ScienceRetail Data Analyst
CredentialsBachelor's in Marketing, Consumer Science, or related fieldBachelor's in Data Analysis, Statistics, or related field
Work EnvironmentRetail stores, market research settings, seasonal campaignsOffice, retail corporate offices, data-focused environments
Industry UsageUsed to understand seasonal consumer behavior and preferencesAnalyzes sales data, customer trends, and performance metrics

Seasonal Retail Consumer Science focuses on understanding consumer behavior during specific seasons to optimize retail strategies, while Retail Data Analysts interpret sales and customer data to inform business decisions. Both roles require analytical skills and industry knowledge but differ in their primary focus and work environment.

What can I do with a seasonal retail consumer science degree?

A degree in seasonal retail consumer science prepares individuals for roles analyzing consumer behavior, market trends, and sales data within retail environments. Graduates can work as market research analysts, consumer insights specialists, or retail data analysts, often utilizing tools like Excel, SPSS, or Tableau. The role typically involves seasonal or temporary work aligned with retail cycles and may require strong analytical skills and understanding of consumer psychology.

What job categories do people searching Seasonal Retail Consumer Science jobs in Romeoville, IL look for?

The top searched job categories for Seasonal Retail Consumer Science jobs in Romeoville, IL are:

What cities near Romeoville, IL are hiring for Seasonal Retail Consumer Science jobs?

Cities near Romeoville, IL with the most Seasonal Retail Consumer Science job openings:

Seasonal Retail Consumer Science jobs near you
Infographic showing various Seasonal Retail Consumer Science job openings in Romeoville, IL as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 100% In-person job distribution, with an average salary of $60,569 per year, or $29.1 per hour.

Director, Data Science

Chicago, IL • On-site

Numerator
Marketing Research • 1 - 5K employees
Learn more about Numeratorexternal

Full-time

Re-posted 19 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.

Apply