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Retail Consumer Science Jobs (NOW HIRING)

Jockey

Consumer Insights Manager

Kenosha, WI · On-site

Collaborate with Data Science team to improve data collection/usage across sources. * Explore tools ... Apparel and/or retail industry experience preferred * Some direct or indirect experience managing ...

NCSU

Healthy Retail Sector Extension Associate

Raleigh, NC

$13 - $15.75/hr

Family and Consumer Sciences view the family, in all its various forms, as the cornerstone of a ... The Healthy Retail Sector Extension Associate provides expertise and facilitates Policy, Systems ...

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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 Aug 5, 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 are the key skills and qualifications needed to thrive in retail consumer science, 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 can you do with a retail consumer science degree?

A retail consumer science degree prepares individuals for roles in market research, consumer behavior analysis, and retail analytics. Graduates can work as data analysts, customer insights specialists, or retail consultants, often utilizing tools like statistical software and consumer surveys to inform business strategies.

What is a retail consumer science?

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 1% As Needed, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $59,404 per year, or $28.6 per hour.

Engineering Manager II, Ranking and Recommendations, Grocery and Retail

Uber Technologies, Inc.

New York, NY • On-site

Full-time

Retirement

Re-posted 18 days ago

Uber rating

6.9

Company rating: 6.9 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description


About the Role
Uber has expanded its services beyond transporting people to include the delivery of nearly anything customers need, often within hours, with Grocery & Retail being a major growth priority.
The Grocery and Retail Consumer Ranking Team is dedicated to creating a seamless and efficient shopping experience, enabling users to effortlessly find what they need.
As the Engineering Manager for the Grocery & Retail Consumer Ranking team, you will lead the evolution of Uber's online ranking architecture and high-throughput serving stack. Your primary mission is to build the engine that powers seamless shopping experiences, ensuring that millions of users can find what they need in milliseconds.
We are looking for a systems-focused leader to drive the design of our online retrieval and ranking services. You will oversee the delivery of real-time features, caching strategies, and storage solutions, while ruthlessly optimizing for p99 latency, resource costs, and 99.99% availability. This role is at the intersection of complex distributed systems and product innovation, requiring a leader who can balance rapid experimentation with rock-solid operational excellence.
While the core of this role is backend infrastructure, you will partner closely with Data Science and ML Engineering to integrate state-of-the-art models (Deep Learning, Embeddings, and GenAI) into a production environment that operates at Uber's global scale.
What You Will Do
  1. Lead the team of backend and ML engineers owning the online ranking serving stack and integrations powering key consumer surfaces.
  2. Own the Roadmap: Define, prioritize, and execute an ambitious product roadmap through strong people leadership-managing, coaching, and growing all team members.
  3. Drive Reliability & Performance: Lead high-impact initiatives to improve p99 latency, tail-latency mitigation, and infra-cost efficiency for high-QPS services.
  4. Evolve Data Flow: Oversee the development of real-time and batch pipelines, ensuring online/offline consistency for features and model inputs.
  5. Technical Vision: Lay out the multi-quarter roadmap for ranking infra, leveraging senior ICs to drive architectural migrations and capacity planning.
  6. Operational Excellence: Champion a strong engineering culture of on-call health, post-mortems, and graceful degradation/fallback strategies.
  7. Scale Experimentation: Build and extend automated experimentation capabilities, including guardrails, logging, and debiasing.

---- Basic Qualifications ----
  1. Experience: 10+ years in software engineering with a primary focus on high-traffic backend systems.
  2. Leadership: 4+ years of engineering management experience.
  3. Backend & Systems Expertise: Deep experience in distributed systems, API/service design, and high-scale production serving.
  4. Operational Ownership: Proven track record in managing SLOs/SLAs, incident response, and performance/latency optimization.
  5. ML Partnership: Experience delivering ML-backed services and the ability to partner with DS/MLE on model requirements and evaluation.
  6. Communication: Strong verbal and written communication skills with the ability to influence technical and product roadmaps.

---- Preferred Qualifications ----
  1. People leadership: Unwavering commitment to maintaining high standards for personal contributions, team members, and product outcomes. A successful track record of hiring and developing high-performing teams.
  2. Scale & Scope: Experience managing teams of 10+ engineers in a large-scale tech company (10k+ employees).
  3. ML Platform Mastery: Experience integrating with large-scale ML platforms (feature stores, training infra, model registry) and model rollout patterns (canary/shadow, auto-rollback).
  4. Optimization: Proven ability to make practical tradeoffs among latency, model quality, capacity, and maintainability.
  5. Project Impact: History of leading multi-quarter re-architecture projects or migrations that significantly reduced costs or improved availability.
  6. Cross-functional Negotiation: Ability to partner and negotiate cross-organizationally (Marketplace, Search, Merchandising) to integrate ranking outputs into end-to-end user flows.

~~ ~~
Responsibilities
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
About Us
Ready to Ride?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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