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

Analyze, interpret, summarize, and communicate experimental data to project teams, functional ... Train and mentor junior scientists and associates in histology, IHC, microscopy, documentation ...

This is an excellent opportunity for recent graduates and early-career scientists with 0-1 year of ... Document experimental data and findings to support traceability and regulatory requirements ...

Analyze, interpret, summarize, and communicate experimental data to project teams, functional ... Train and mentor junior scientists and associates in histology, IHC, microscopy, documentation ...

Analyze, interpret, summarize, and communicate experimental data to project teams, functional ... Train and mentor junior scientists and associates in histology, IHC, microscopy, documentation ...

Scientist l, Pathology

Irvine, CA · On-site

$90 - $120/hr

Analyze, interpret, summarize, and communicate experimental data to project teams, functional ... Train and mentor junior scientists and associates in histology, IHC, microscopy, documentation ...

Showing results 21-40

Associate Data Scientist information

See Riverside, CA salary details

$60K

$71K

$134.6K

How much do associate data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for associate data scientist in Riverside, CA is $70,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $62,100.00 per year, depending on experience, location, and employer.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

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

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

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

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

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 Associate Data Scientist jobs?

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

Infographic showing various Associate Data Scientist job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $70,983 per year, or $34.1 per hour.

Assistant, Associate or Full Faculty Professor of Finance & Data Analytics

Concordia University Irvine

Irvine, CA • On-site

$66K - $98K/yr

Full-time

Re-posted 11 days ago


Job description

Essential Duties and Responsibilities include:
To perform this job successfully, an individual must be able to accomplish each of the below duties satisfactorily:
  • Teach lower-division courses in some or all of the following: Business Data Analytics, Accounting, Finance, Econometrics, Economics and others as needed by the department.
  • As conditions permit, teaching graduate courses in the MBA programs.
  • Other courses may include: Ethics, Management, Operations and other core business courses.
  • Service to the university as a business club Faculty Advisor, on one or more committees or in another capacity.
  • Support departmental initiatives such as on campus speaking engagements, supplemental instruction, and prospective student recruitment events (on and off campus).
  • Development of new courses as needed by the department.
  • Networking and maintaining relationships in the business community.
  • Participation in a variety of extra-curricular and co-curricular events in support of students, business programs & community events, as invited to do so.
  • To model, exhibit, and encourage behavior which supports the business school and university's mission, vision, and strategic plan.

The School of Business offers 3 undergraduate degrees: Business Administration (with 10 emphases), Economics and Sports Business. Three MBA programs are offered: Traditional MBA, MBA Sports Business and MBA Managerial Science (STEM). The undergraduate program offers emphases include: Accounting, Business Data Analytics, Business Economics, Data Science (Finance), Finance, Healthcare Management, International Business, Marketing, Management.
Pay Range: $66,000-$98,000 per year
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.