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Consumer Science Jobs in California (NOW HIRING)

Trinityhealth

$30.01/hr

Dietetics, Nutrition or Family & Consumer Science with ACEND (Accreditation Council for Education in Nutrition and Dietetics) requirements completed. * Required: Less than one year of previous job ...

Trinity Health

$30.01/hr

Dietetics, Nutrition or Family & Consumer Science with ACEND (Accreditation Council for Education in Nutrition and Dietetics) requirements completed. * Required: Less than one year of previous job ...

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Showing results 21-40

All JobsConsumer Science JobsConsumer Science Jobs in California

Consumer Science information

See California salary details

$15.3K

$58.6K

$71.6K

How much do consumer science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for consumer science in California is $58,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,900.00 and $57,700.00 per year, depending on experience, location, and employer.

What is consumer science?

Consumer science is the study of how individuals and families make decisions about using resources such as time, money, and energy to improve their quality of life. This field combines elements of economics, psychology, sociology, and nutrition to understand consumer behavior and develop strategies for better decision-making. Professionals in consumer science may work in areas like product development, marketing, financial planning, or public policy, all with the goal of helping people become informed and responsible consumers.

How does a consumer science professional typically collaborate with other departments within an organization?

Consumer Science professionals frequently work cross-functionally, collaborating with marketing, product development, and data analytics teams to interpret consumer behaviors and preferences. They may conduct research, analyze trends, and present actionable insights to help guide strategic decisions. Regular meetings and project-based teamwork are common, allowing Consumer Science professionals to ensure that consumer perspectives are integrated into product improvements and business strategies. This collaborative environment fosters both learning and career growth by exposing professionals to diverse business functions.

What are the key skills and qualifications needed to thrive as a consumer scientist, and why are they important?

To thrive as a Consumer Scientist, you need a solid background in consumer behavior, data analysis, and research methodologies, often supported by a degree in consumer science or a related field. Familiarity with statistical software, survey platforms, and data visualization tools is typically required. Strong communication, critical thinking, and problem-solving skills set exceptional candidates apart in this field. These abilities are crucial for effectively understanding consumer needs, interpreting data, and providing actionable insights that inform product development and marketing strategies.

What is the difference between Consumer Science vs Market Research Analyst?

AspectConsumer ScienceMarket Research Analyst
Required CredentialsBachelor's degree in Consumer Science, Marketing, or related fieldsBachelor's degree in Marketing, Business, or related fields
Work EnvironmentResearch labs, consumer testing facilities, corporate settingsOffices, client sites, data analysis environments
Industry UsageRetail, consumer goods, marketing firmsMarket research firms, advertising agencies, corporations
Common Search IntentUnderstanding consumer behavior, product testingAnalyzing market trends, consumer data

Consumer Science focuses on understanding consumer behavior, product testing, and developing consumer insights, often within retail and product development settings. Market Research Analysts analyze market data, trends, and consumer preferences to guide marketing strategies. While both roles involve consumer insights, Consumer Science emphasizes product and behavior research, whereas Market Research Analysts focus on data analysis and market trends.

What are the career paths in consumer science?

Career paths in consumer science include roles such as consumer researcher, market analyst, product development specialist, and user experience designer. These positions often require skills in data analysis, research methods, and understanding consumer behavior, with opportunities in industries like retail, technology, and healthcare.

What can I do with a consumer science degree?

A consumer science degree prepares individuals for careers in areas such as market research, product development, consumer behavior analysis, and retail management. Graduates often work in research firms, marketing departments, or consumer advocacy organizations, utilizing skills in data analysis, communication, and understanding consumer needs.

What do you do in consumer science?

In consumer science, professionals analyze consumer behavior, preferences, and decision-making processes to help companies develop better products and marketing strategies. They often use research methods such as surveys, focus groups, and data analysis tools. The role may require knowledge of psychology, statistics, and market research techniques.

What are popular job titles related to Consumer Science jobs in California?

For Consumer Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Consumer Science jobs in California look for?

The top searched job categories for Consumer Science jobs in California are:

What cities in California are hiring for Consumer Science jobs?

Cities in California with the most Consumer Science job openings:

Consumer Science jobs near you
Infographic showing various Consumer Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $58,626 per year, or $28.2 per hour.

Manager, Data Science - Consumer Identity Machine Learning

Capital One

San Francisco, CA • On-site

Full-time

Re-posted 13 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks

Job description

Manager, Data Science - Consumer Identity Machine Learning

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description:

Consumer Identity ML is the data science and machine learning team inside Capital One's AI foundation organization. We deliver real-time, personalized, intelligent customer experiences in Capital One's suite of award-winning digital products, including our website, mobile app, emails, chatbot, and beyond. We partner closely with our product and engineering teams to build the data and modeling platforms crucial to the deep understanding of customers that enables our applications to delight them by adapting to their needs.

As part of Consumer ML, you will:

  • Explore billions of clickstream events to discover the patterns in customer behavior, and use those patterns to model key customer outcomes

  • Develop the real-time models that use vast amounts of customer data to anticipate customers' needs and deliver the right options at the right time

  • Develop the models that ensure our most important customer data is accurate, fighting fraud and other bad behavior, while enabling seamless digital experiences across all our products

Role Description:

In Consumer Identity ML, you will work at all phases of the data science life cycle, including:

  • Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams toimprove operationalizationin scalable and resilient production systems that serve 50+ million customers.

  • Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention.

  • Write software (Python, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark.

The Ideal Candidate is

  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

  • Statistically-minded.You've built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

  • A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.


Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics

  • At least 1 year of experience leveraging open source programming languages for large scale data analysis

  • At least 1 year of experience working with machine learning

  • At least 1 year of experience utilizing relational databases


Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics

  • At least 1 year of experience working with AWS

  • At least 4 years' experience in Python, Scala, or R for large scale data analysis

  • At least 4 years' experience with machine learning

  • At least 4 years' experience with SQL


Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Mgr, Data Science


New York, NY: $215,200 - $245,600 for Mgr, Data Science


San Francisco, CA: $215,200 - $245,600 for Mgr, Data Science


San Jose, CA: $215,200 - $245,600 for Mgr, Data Science








Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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