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Healthcare Data Science Jobs in Riverside, CA (NOW HIRING)

For A Better You At iHerb, we believe that living a healthy and balanced life should be easy and ... Typically requires ten (10) years of progressive experience in data science, analytics, or ...

For A Better You At iHerb, we believe that living a healthy and balanced life should be easy and ... Typically requires ten (10) years of progressive experience in data science, analytics, or ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Healthcare Coordinator

Beaumont, CA · On-site

$18 - $25.50/hr

The Healthcare Coordinator should support each patient in a consultative and educational manner ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Healthcare Coordinator

Upland, CA · On-site

$18 - $25.50/hr

The Healthcare Coordinator should support each patient in a consultative and educational manner ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Healthcare Coordinator

Murrieta, CA · On-site

$18 - $25.50/hr

The Healthcare Coordinator should support each patient in a consultative and educational manner ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The Healthcare Coordinator should support each patient in a consultative and educational manner ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Healthcare Coordinator

Upland, CA · On-site

$18 - $25.50/hr

The Healthcare Coordinator should support each patient in a consultative and educational manner ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Healthcare Coordinator

Claremont, CA · On-site

$18 - $25.50/hr

The Healthcare Coordinator should support each patient in a consultative and educational manner ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Healthcare Coordinator

Irvine, CA · On-site

$18 - $25.50/hr

The Healthcare Coordinator should support each patient in a consultative and educational manner ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Showing results 41-60

Healthcare Data Science information

See Riverside, CA salary details

$48K

$172.2K

$254K

How much do healthcare data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for healthcare data science in Riverside, CA is $172,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a healthcare data scientist?

To thrive as a Healthcare Data Scientist, you need a strong background in statistics, data analysis, programming (Python or R), and an understanding of healthcare systems, often supported by a degree in data science, computer science, or a related field. Experience with tools like SQL, machine learning frameworks, and familiarity with electronic health record (EHR) systems are typically required. Strong problem-solving skills, attention to detail, and effective communication help translate complex data insights into actionable healthcare solutions. These skills are crucial for deriving meaningful insights from complex healthcare data, improving patient outcomes, and supporting evidence-based decision-making.

What is the difference between Healthcare Data Science vs Healthcare Data Analysis?

AspectHealthcare Data ScienceHealthcare Data Analysis
Required CredentialsTypically requires a degree in data science, statistics, or related fields; often includes programming skills and knowledge of machine learningUsually requires a background in healthcare, statistics, or data analysis; may include certifications in data analysis tools
Work EnvironmentInvolves developing models, algorithms, and predictive analytics; often in research or tech-focused settingsFocuses on interpreting data, generating reports, and supporting clinical or administrative decisions
Employer & Industry UsageUsed by healthcare tech companies, research institutions, and large healthcare providersCommon in hospitals, clinics, insurance companies, and healthcare consulting firms

Healthcare Data Science and Healthcare Data Analysis share overlapping skills but differ mainly in scope. Data scientists develop advanced models and predictive tools, while data analysts focus on interpreting data and generating insights. Both roles are vital in healthcare but serve different functions within the industry.

What are some common challenges faced by healthcare data scientists when working with clinical data?

Healthcare data scientists often navigate challenges such as dealing with incomplete or inconsistent medical records, ensuring patient privacy and data security, and integrating data from diverse sources like electronic health records, lab results, and imaging systems. Additionally, they must collaborate closely with clinicians and IT staff to interpret complex datasets accurately and ensure that their analyses have practical clinical value. Maintaining compliance with healthcare regulations, such as HIPAA, is also a critical aspect of the role.

What can you do with a degree in healthcare data science?

A degree in healthcare data science prepares individuals to analyze medical data, develop predictive models, and improve patient outcomes. Graduates can work as data analysts, data scientists, or informaticists in hospitals, healthcare companies, or research institutions, often using tools like Python, R, and SQL. The role involves interpreting complex data to support clinical decisions and healthcare policies.

What is healthcare data science?

Healthcare data science is a field that uses data analysis, statistics, and machine learning to extract insights from health-related data. Professionals in this area work with large datasets from sources like electronic health records, clinical trials, and wearable devices. Their goal is to improve patient outcomes, optimize hospital operations, and support medical research by turning raw data into actionable information. This field requires knowledge of healthcare systems, data management, and advanced analytics techniques.

Can a healthcare data scientist work in healthcare?

Yes, healthcare data scientists work within healthcare organizations to analyze medical data, improve patient outcomes, and optimize operational efficiency. They often use tools like Python, R, and SQL, and require knowledge of healthcare systems, data privacy regulations, and statistical methods.
What are popular job titles related to Healthcare Data Science jobs in Riverside, CA? For Healthcare Data Science jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Healthcare Data Science jobs in Riverside, CA look for? The top searched job categories for Healthcare Data Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Healthcare Data Science jobs? Cities near Riverside, CA with the most Healthcare Data Science job openings:
Infographic showing various Healthcare Data Science job openings in Riverside, CA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $172,158 per year, or $82.8 per hour.

Pricing Data Scientist

iHerb, LLC

Irvine, CA • On-site, Remote

Full-time

Re-posted 26 days ago


iHerb rating

7.5

Company rating: 7.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

For A Better YouAt iHerb, we believe that living a healthy and balanced life should be easy and accessible to everyone. As a team member, we'll empower you to live this promise each day as you make a truly global impact in your career.
We constantly strive for innovation, while transforming and improving the online shopping experience for our customers. We believe that individually we are incredible, but when we come together, our growth is infinite. In an industry that is constantly evolving, we are on a mission to make an impact on the global market, and the individual and collaborative efforts of our people are paramount to helping us succeed.
Whether you work in one of our logistics centers, technology hubs, corporate offices or even from home, your role at iHerb will take you beyond what's expected, turning challenge into change. If you're ready for it, we want you to join our team. Get started now.
Job Summary:
The Pricing Data Scientist is a hands-on, high-autonomy individual contributor responsible for owning end-to-end pricing analytics and measurement in close partnership with the Pricing organization. This role focuses on practical, decision-driven work including competitive price validation, pricing test measurement, promotion and discount analysis, elasticity assessment, and executive-ready insights -- translating complex pricing dynamics into clear, credible recommendations that influence senior leaders. The ideal candidate combines strong quantitative skills with pragmatic execution, is comfortable building and applying predictive models while working across SQL, Python, and analytics workflows, and can independently deliver results without heavy guidance. Success in this role: judgment, bias toward action, and the ability to clearly articulate the "so-what" behind the numbers.
Job Expectations:
  • Own end-to-end pricing analytics, modeling and measurement in close partnership with the Pricing organization, supporting day-to-day pricing decisions as well as longer-term strategy refinement
  • Build, validate, and maintain applied pricing models (e.g., elasticity, incrementality, sensitivity tiers) that balance statistical rigor with real-world constraints and imperfect data
  • Design and execute measurement approaches for pricing tests and promotions, including A/B tests and quasi-experimental methods, accounting for seasonality, halo, and cannibalization
  • Lead competitive pricing analytics, including validation of external pricing data, imputation logic for incomplete coverage, and ongoing quality monitoring to ensure confidence in insights
  • Translate complex analytical outputs into clear, decision-ready insights, articulating implications, tradeoffs, and recommended actions to pricing leadership and senior executives
  • Partner closely with BI Analytics and Data Engineering to shape pricing datasets, contribute to data modeling where needed, and ensure analytical outputs are scalable and reusable
  • Independently develop analytical workflows using SQL and Python, moving fluidly between data exploration, modeling, and insight generation without reliance on heavy guidance
  • Contribute to the development of pricing dashboards and recurring analytical outputs for the Pricing team, prioritizing clarity, usability, and decision relevance over visual polish
  • Continuously refine pricing measurement frameworks as the business evolves, balancing speed, accuracy, and practicality in a fast-moving global environment
  • Experience deploying, monitoring, or operationalizing pricing or predictive models in a production analytics or ML environment (e.g., Databricks, scheduled pipelines, or decision-support workflows)

Knowledge, Skills and Abilities:
Required
  • Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions, or commercial decisions in a retail or eCommerce environment
  • Hands-on expertise with SQL and Python, with the ability to independently extract, manipulate, model, and analyze large datasets end-to-end
  • Experience designing and interpreting pricing or promotional measurement, including experimentation (A/B testing) and quasi-experimental approaches, with comfort navigating imperfect data and incomplete controls
  • Practical experience with pricing concepts such as elasticity, price sensitivity, discounting, promotions, and incrementality, with an emphasis on directional insight over theoretical precision
  • Proven ability to translate analytical outputs into clear, actionable insights, articulating implications, risks, and tradeoffs to senior business stakeholders
  • Comfort operating with ambiguity and limited guidance, demonstrating sound judgment, prioritization, and bias toward execution in fast-moving environments
  • Strong analytical problem-solving skills paired with business intuition, enabling independent ownership of complex measurement problems from framing through delivery
  • Ability to collaborate effectively across Analytics, Pricing, Finance, and Engineering, balancing technical rigor with pragmatic business needs

Preferred
  • Experience supporting pricing decisions in a global or multi-market retail or e-commerce environment, including regional pricing variation or localized promotions
  • Familiarity with competitive pricing intelligence data, including validation, normalization, and imputation of external price sources
  • Experience partnering closely with Pricing, Finance, or Commercial Strategy teams to inform margin, contribution, or profitability-focused decisions
  • Hands-on experience building reusable analytical frameworks or standardized measurement templates that scale

Experience Requirements:
  • Typically requires ten (10) years of progressive experience in data science, analytics, or quantitative analysis roles, with a demonstrated track record of applying data-driven insights to pricing, promotions, or commercial decision-making in a retail or e-commerce environment.
  • Candidates should have hands-on experience building and applying analytical or data science models, working directly with large, real-world datasets, and partnering closely with business stakeholders.
  • Prior experience supporting pricing strategy, experimentation, or promotional measurement in fast-paced, ambiguous environments is strongly preferred.

Education Requirements:
Degree in Engineering, Math, Statistics, Finance, or Computer Science required. Advanced degrees are welcome but not required.
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Compensation:
The expected salary range for this role is $175,000 - $198,000 USD. The actual base pay offered will be determined by factors such as the candidate's relevant experience, education, geographic location, and internal equity.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Staffing Agency Submission NoticeiHerb does not accept unsolicited 3rd party ("Agency") candidates. If you are an Agency, please send any requests to be considered as a supplier in our Vendor Management System to staffingvendors@iherb.com. Do not contact iHerb employees directly. If requested to work on a role, any Agency candidates would be presented through the internal recruiting organization.
iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.

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