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Data Scientist Intern Jobs in Riverside, CA (NOW HIRING)

iHerb, LLC

Pricing Data Scientist

Irvine, CA · On-site +1

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.

iHerb.com

Pricing Data Scientist

Irvine, CA · On-site +1

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.

Skyworks

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

Sr. Data Scientist Posting Start Date: 6/3/26 Job Location(s): Irvine If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

We have an exciting opportunity for a Data Scientist within our data product space. This individual will be focused on designing, building, and deploying machine learning models and data products ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

We have an exciting opportunity for a Data Scientist within our data product space. This individual will be focused on designing, building, and deploying machine learning models and data products ...

Skyworks

Sr. Data Scientist

Irvine, CA

$114K - $220K/yr

... data Required Experience and Skills * BS and 8 years experience (Ph.D. preferred) in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field. * Strong ...

Edwards Lifesciences

Staff Data Scientist

Irvine, CA · On-site

$126 - $178/hr

As a Staff Data Scientist, you design the modeling and evaluation approaches that others build on for a problem class, set validation strategy, and raise the modeling rigor of the teams around you ...

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Showing results 21-40

All JobsData Scientist Intern JobsData Scientist Intern Jobs in Riverside, CA

Data Scientist Intern information

See Riverside, CA salary details

$48K

$172.2K

$254K

How much do data scientist intern jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data scientist intern 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 is a data scientist intern?

Data Scientist Interns are individuals, often students or recent graduates, who work temporarily in organizations to gain practical experience in data science. Their main responsibilities include collecting, cleaning, analyzing, and visualizing data under the guidance of experienced data scientists. Interns may also assist in building machine learning models, generating reports, and presenting insights to help solve real business problems. The internship provides valuable hands-on experience and helps interns develop technical and analytical skills necessary for a full-time data science role.

What types of projects and tasks can I expect to work on as a data scientist intern?

As a Data Scientist Intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, building predictive models, and generating data visualizations to support business decisions. You'll often collaborate with other data scientists, engineers, and business teams to tackle real-world problems and may be asked to present your findings to stakeholders. These experiences are designed to help you develop technical skills, gain exposure to industry tools and methodologies, and understand how data science contributes to organizational goals.

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

To thrive as a Data Scientist Intern, you generally need a strong foundation in statistics, programming (often Python or R), and data analysis, often supported by coursework in computer science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries like scikit-learn or TensorFlow is typically expected. Strong problem-solving skills, curiosity, and effective communication set standout candidates apart in this role. These skills and qualities are crucial for extracting insights from data, collaborating with diverse teams, and contributing meaningful solutions to real-world problems.

What is the difference between Data Scientist Intern vs Data Analyst Intern?

AspectData Scientist InternData Analyst Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Computer Science, or related fieldsUsually pursuing or holding a degree in Statistics, Mathematics, or related fields
Work EnvironmentInvolves building predictive models, machine learning, and advanced analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprises for complex data projectsCommon in retail, marketing, and business intelligence roles across industries

While both roles involve working with data, a Data Scientist Intern typically engages in advanced analytics and machine learning projects, whereas a Data Analyst Intern focuses on data reporting and descriptive analysis. The roles differ mainly in complexity and technical skills required, but both serve as entry points into data-driven careers.

What are the most commonly searched types of Data Scientist jobs in Riverside, CA?

The most popular types of Data Scientist jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Data Scientist Intern jobs?

Cities near Riverside, CA with the most Data Scientist Intern job openings:

Data Scientist Intern jobs near you
Infographic showing various Data Scientist Intern job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% 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 20 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.
#LI-ME1
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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