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Data Scientist Research Analyst Jobs in Riverside, CA

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 ...

Sr. Data Scientist

Santa Ana, CA · On-site

$100 - $150/hr

Ad hoc data analysis Team Individual contributor within Decision Intelligence team ... Data exploration/research * Documentation of logic and results * Presentation of logic and results ...

... 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 ...

Senior Data Scientist

Irvine, CA · On-site

$108 - $153/hr

Apply survival analysis, Bayesian modeling, and causal inference where the clinical question ... Research adoption. Evaluate and adapt current AI/ML for health research to IHFM problems, and ...

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 ...

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 ...

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 ...

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 ...

DATA SCIENTIST II

Norco, CA · On-site

$115 - $130/hr

DATA SCIENTIST II Full Time VS CA NORCO, Norco, CA, US 7 days ago Requisition ID: 1577 Salary Range ... In this role, you will apply advanced data analytics and machine learning techniques to explore ...

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

The Data Scientist is responsible for owning the full analytical lifecycle, from problem definition and data extraction through modeling, experimentation, and stakeholder presentation. This role ...

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

The Data Scientist is responsible for owning the full analytical lifecycle, from problem definition and data extraction through modeling, experimentation, and stakeholder presentation. This role ...

... data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance. • Develop high-quality, modular Python code for model training and ...

Data Scientist II

Rancho Cucamonga, CA · On-site

$118.60 - $157.14/hr

Experience in analyzing large data sets that have complex (i.e., unstructured, structured, and semi-structured) designs is also required * Experience in the areas of medical or health services is ...

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Data Scientist II On Site: Norco, CA Job Summary We are seeking a talented and driven mid-level ... In this role, you will apply advanced data analytics and machine learning techniques to explore ...

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Data Scientist Research Analyst information

What is a data scientist research analyst?

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.

Is a data scientist research analyst job still in demand?

Data scientist research analyst roles remain in high demand due to the increasing reliance on data-driven decision making across industries. These positions often require skills in statistical analysis, programming languages like Python or R, and familiarity with data visualization tools, making them valuable in many organizations seeking to leverage big data. The job market for these roles continues to grow as companies prioritize analytics and artificial intelligence initiatives.

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

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.
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:
Infographic showing various Data Scientist Research Analyst job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Scientist

Hireblazer

Irvine, CA • On-site

Full-time

Re-posted 17 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).