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

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Support senior leadership in strategic decision-making through advanced data-driven insights * Stay up-to-date with the latest developments in data science, machine learning, and related fields

PM2CM

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

PM2CM

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

PM2CM

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

Boot Barn

Data Scientist

Irvine, CA · On-site

The Data Scientist will be responsible for developing advanced machine learning models and generative AI solutions to support data-driven initiatives across various departments. Responsibilities ...

OC Sports and Entertainment

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Data Scientist Pay Details: The annual base salary range for this position in California is $100,000 to $140,000 per year. The starting pay for the successful candidate depends on various job-related ...

OCVIBE

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Data Scientist Pay Details: The annual base salary range for this position in California is $100,000 to $140,000 per year. The starting pay for the successful candidate depends on various job-related ...

iHerb.com

Pricing Data Scientist

Irvine, CA · On-site +1

The Pricing Data Scientist is a hands-on, high-autonomy individual contributor responsible for ... that influence senior leaders. The ideal candidate combines strong quantitative skills with ...

iHerb, LLC

Pricing Data Scientist

Irvine, CA · On-site +1

The Pricing Data Scientist is a hands-on, high-autonomy individual contributor responsible for ... that influence senior leaders. The ideal candidate combines strong quantitative skills with ...

Socket.dev

Data Scientist II

Rancho Cucamonga, CA · On-site

$118.60 - $157.14/hr

Under the direction of the Manager, Data Science, the Data Scientist II is responsible for modeling complex institutional problems, discovering insights, and identifying opportunities using ...

IEHP

Data Scientist II

Rancho Cucamonga, CA · On-site

IEHP is dedicated to healing and inspiring the human spirit, and they are seeking a Data Scientist II to model complex problems and discover insights using various data techniques. This role involves ...

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Showing results 21-40

All JobsSr Data Scientist JobsSr Data Scientist Jobs in Riverside, CA

Sr Data Scientist information

See Riverside, CA salary details

$43.3K

$148.6K

$209.7K

How much do sr data scientist jobs pay per year?

As of Aug 13, 2026, the average yearly pay for sr data scientist in Riverside, CA is $148,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $173,700.00 per year, depending on experience, location, and employer.

What does a Sr Data Scientist do?

A Sr Data Scientist is responsible for analyzing complex data sets to extract meaningful insights and guide business decision-making. They design and implement advanced machine learning models, lead data-driven projects, and collaborate with cross-functional teams. In addition to technical tasks, Sr Data Scientists often mentor junior team members and play a key role in setting data strategy within the organization.

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

AspectSr Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related fields; experience with machine learningBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentCollaborates with data science teams, develops models, and interprets complex dataPrepares reports, visualizes data, and supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and smaller organizations

The main difference between a Sr Data Scientist and a Data Analyst lies in their responsibilities and skill levels. Sr Data Scientists focus on building advanced models and algorithms, often requiring more technical expertise and experience with machine learning. Data Analysts primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are essential but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Sr Data Scientist?

To thrive as a Sr Data Scientist, you need advanced knowledge of statistics, machine learning, and data analysis, typically backed by a degree in a quantitative field and several years of relevant experience. Expertise in programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and familiarity with cloud platforms or relevant certifications are commonly required. Strong problem-solving abilities, effective communication, and the ability to lead and mentor teams set standout professionals apart. These skills ensure that Sr Data Scientists can extract actionable insights from complex data, drive impactful projects, and support organizational decision-making.

How does a Sr Data Scientist typically collaborate with cross-functional teams within an organization?

A Sr Data Scientist often works closely with product managers, engineers, and business stakeholders to define project goals and translate business needs into analytical solutions. They play a key role in guiding junior data scientists and sharing insights with non-technical team members through clear communication and data visualization. Collaboration is integral, as projects frequently require input from different departments to ensure that data-driven solutions align with overall business strategies and technical feasibility. This cross-functional teamwork helps drive impactful results and fosters a culture of data-informed decision making.

What are popular job titles related to Sr Data Scientist jobs in Riverside, CA?

For Sr Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Sr Data Scientist jobs in Riverside, CA look for?

The top searched job categories for Sr Data Scientist jobs in Riverside, CA are:

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

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

Sr Data Scientist jobs near you
Infographic showing various Sr Data Scientist job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $148,624 per year, or $71.5 per hour.

Sr Principal Data Scientist, Search and Recommendations

Ingram Micro

Irvine, CA • On-site

Full-time

Re-posted 14 days ago

Ingram Micro rating

6.7

Company rating: 6.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

279th of 416 rated retail wholesalers

Job description

Job Summary:
Ingram Micro is a leading technology company for the global information technology ecosystem. They are seeking an experienced Data Scientist to drive the science and strategy behind their global Search and Recommendation systems, partnering with a diverse team to build large-scale models that improve discovery and relevance.
Responsibilities:
• Own multi-quarter technical development, vision, and roadmap for search, ranking, personalization, discovery, and recommendation systems.
• Engage with a globally distributed team of Data Scientists and AI/ML Engineers
• Be accountable for model quality, experimentation rigor, and production impact
• Influence platform, tooling, and architecture decisions in partnership with science, engineering, and business leadership
• Partner with and mentor mid- and senior -level scientists
• Set bar for modeling excellence, experimentation discipline, production readiness
• Promote reusable ML platforms and standardization over one-off solutions
• Serve as an executive-facing authority on search and recommendation science
• Translate ambiguous business problems into scalable AI and ML solutions
• Communicate technical models, engines, systems to non-technical stakeholders
• Partner with Product, Engineering, and Business to balance near-term wins vs. long-term platform bets
Qualifications:
Required:
• Master’s or Ph.D. in a quantitative field (Computer Science, Data Science, AI, Statistics, Applied Math, Engineering, Economics, or similar technical fields)
• 10+ years functional experience including a minimum of 5+ years position specific experience in search, recommendation, information retrieval, or personalization at scale
• Track record of owning production search or recommendation systems with measurable business impact
• Expertise in developing and leading the deployment of enterprise level Search Algorithms and Recommendation Engines at global scale
• Develop model design for ranking, relevance, personalization, semantic retrieval
• Build applications leveraging LLMs, deep learning, transformers, generative AI, semantic search, vector databases, and RAG pipelines
• Design and interpret A/B tests and quasi‑experiments tied to business metrics
• Tools/stack experience: Python, SQL, Jupyter, R, Julia, SAS, MATLAB, etc…
• Work with large‑scale behavioral, content, and transactional datasets to solve highly ambiguous problems
• Partner with and mentor mid- and senior -level scientists
• Set bar for modeling excellence, experimentation discipline, production readiness
• Promote reusable ML platforms and standardization over one‑off solutions
• Serve as an executive-facing authority on search and recommendation science
• Translate ambiguous business problems into scalable AI and ML solutions
• Communicate technical models, engines, systems to non-technical stakeholders
• Partner with Product, Engineering, and Business to balance near-term wins vs. long-term platform bets
Preferred:
• Experience with GCP (Big Query, VertexA, Gemini) strongly preferred
• Experience developing Search/Recommendation Agents is a plus
Company:
Ingram Micro is a provider of technology products and supply chain management services. It is a sub-organization of HNA Group. Founded in 1979, the company is headquartered in Irvine, USA, with a team of 10001+ employees. The company is currently Late Stage.

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