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Data Scientist Research Analyst Jobs in Riverside, CA

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Job Title: Sr. Data Scientist Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco ... Strong hands-on skills in Data Analytics and ML-Ops. Ability to turn state-of-the-art research into ...

Cushman & Wakefield

Research Analyst

Irvine, CA

$81K/yr

Job Title Research Analyst Summary The Analyst reports to the Regional Manager. The Analyst is ... Specifically, this position provides support for gathering and analyzing local market data and ...

Cushman & Wakefield

Research Analyst

Irvine, CA

$81K/yr

Job Title Research Analyst Summary The Analyst reports to the Regional Manager. The Analyst is ... Specifically, this position provides support for gathering and analyzing local market data and ...

Cushman & Wakefield

Research Analyst

Irvine, CA

$81K/yr

Job Title Research Analyst Summary The Analyst reports to the Regional Manager. The Analyst is ... Specifically, this position provides support for gathering and analyzing local market data and ...

Cushman & Wakefield

Research Analyst

Irvine, CA

$81K/yr

Job Title Research Analyst Summary The Analyst reports to the Regional Manager. The Analyst is ... Specifically, this position provides support for gathering and analyzing local market data and ...

Cushman & Wakefield

Research Analyst

Irvine, CA · On-site

$81K/yr

Job Title Research Analyst Summary The Analyst reports to the Regional Manager. The Analyst is ... Specifically, this position provides support for gathering and analyzing local market data and ...

omega solutions, Inc.

Sr. Data Scientist

Santa Ana, CA · On-site

... research Documentation of logic and results Presentation of logic and results to team and ... Scikit-Learn, Numpy Analytics: Regression, Classification, Clustering, (Decision Trees, SVM, Linear ...

Bio-rad Laboratories, Inc.

Data Scientist II

Irvine, CA · On-site

$121K - $166K/yr

Overview We are looking for a Data Scientist II to support analytics, machine learning, and AI ... high-quality research and clinical diagnostic products. We help people everywhere live longer ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation ...

Boot Barn

Data Scientist

Irvine, CA

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation ...

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All JobsData Scientist Research Analyst JobsData Scientist Research Analyst Jobs in Riverside, CA

Data Scientist Research Analyst information

What does a research data scientist do?

A research data scientist analyzes large datasets to extract insights, develop models, and support decision-making. They often use statistical methods, machine learning tools, and programming languages like Python or R, working in research or development environments to solve complex problems. Strong analytical skills and knowledge of data management are essential for this role.

What are Data Scientist Research Analysts?

Data Scientist Research Analysts are professionals who use statistical, analytical, and computational techniques to extract insights from data and support business or research decisions. They combine skills in data science, such as machine learning and programming, with research analysis methods to interpret complex datasets, identify patterns, and generate actionable recommendations. Their work often involves collecting, cleaning, and analyzing data, building predictive models, and communicating findings to stakeholders. Data Scientist Research Analysts work in a variety of industries, including finance, healthcare, technology, and government.

How do Data Scientist Research Analysts typically collaborate with other teams within an organization?

Data Scientist Research Analysts often work closely with cross-functional teams such as engineering, product management, and business strategy. They translate complex data findings into actionable insights that inform decision-making across departments. Collaboration may involve regular meetings to align on project goals, sharing data visualizations, and communicating technical results to non-technical stakeholders. This collaborative environment helps ensure that data-driven solutions are both technically robust and aligned with organizational objectives.

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

AspectData Scientist Research AnalystData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentResearch-focused, often in tech, finance, or healthcare industriesBusiness or corporate settings, supporting decision-making
Employer & Industry UsageResearch institutions, tech companies, large corporationsRetail, finance, marketing, and other industries
Common Search & ComparisonOften compared for data analysis and research rolesMore general data analysis roles

The main difference is that Data Scientist Research Analysts focus on advanced research, modeling, and predictive analytics, often requiring higher technical skills and specialized education. Data Analysts typically handle data cleaning, reporting, and basic analysis to support business decisions. Both roles overlap in data handling but differ in complexity and scope.

What are the key skills and qualifications needed to thrive as a Data Scientist Research Analyst, and why are they important?

To thrive as a Data Scientist Research Analyst, you need strong analytical skills, statistical knowledge, and proficiency in programming languages such as Python or R, usually supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), machine learning frameworks, and experience with databases (SQL) are typically required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for transforming complex data into actionable insights. These skills are crucial for generating valuable research outcomes, supporting business decisions, and effectively conveying data-driven findings to stakeholders.

Can a data scientist do the job of a data analyst?

A data scientist can often perform the tasks of a data analyst, as both roles involve analyzing data to extract insights. However, data scientists typically have more advanced skills in machine learning, statistical modeling, and programming, which may go beyond the scope of a data analyst's responsibilities. The roles can overlap, but the specific job requirements depend on the organization and project needs.

Is 40 too late for data science?

Data Scientist Research Analysts can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or models to improve efficiency and outcomes.
What are popular job titles related to Data Scientist Research Analyst jobs in Riverside, CA? For Data Scientist Research Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Scientist Research Analyst jobs in Riverside, CA look for? The top searched job categories for Data Scientist Research Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Scientist Research Analyst jobs? Cities near Riverside, CA with the most Data Scientist Research Analyst job openings:
Data Scientist Research Analyst jobs near you
Infographic showing various Data Scientist Research Analyst job openings in Riverside, CA as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution.
Senior Data Scientist

Senior Data Scientist

Hireblazer

Irvine, CA • On-site

Full-time

Posted 4 days ago

Job description

Job Title: Sr. Data Scientist

Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote)

Contract Type: Contract to Hire

Project Overview:

The Sr. Data Scientist will join the Personalization Data Science and Machine Learning team to focus on solving recommendations, ranking, user condition predictions, and search problems. This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ensuring engineering excellence with solid production releases. The team utilizes state-of-the-art machine learning and strives for low-latency solutions.

Top Responsibilities:

Apply advanced statistical and predictive modeling techniques to optimize healthcare and digital experiences.

Propose innovative solutions using data mining, statistical analysis, and machine learning.

Support business needs related to analytics, predictive modeling, and business intelligence.

Collaborate effectively with internal clients to translate their needs into data science use cases.

Provide ongoing tracking and monitoring of model performance and recommend improvements to methods and algorithms.

Required Qualifications:

Bachelor's Degree (Minimum Education Requirement).

Strong hands-on skills in Data Analytics and ML-Ops.

Ability to turn state-of-the-art research into production-level code.

Experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.

Proficiency in Python, TensorFlow, PyTorch, and/or PySpark.

Ability to translate business needs and requirements into technical solutions.

Solid analytical and problem-solving skills.

Preferred Qualifications:

Master's or Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields.

Experience developing and deploying models related to recommender systems, NLP, and time series forecasting.

Experience developing algorithms for search engines (e.g., name entity recognition, intent classification, spell correction, auto-completion), cold-start recommendation, and semi-supervised learning (e.g., positive unlabeled learning).