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

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

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. ...

omega solutions, Inc.

Sr. Data Scientist

Santa Ana, CA · On-site

Sr. Data Scientist Santa Ana, CA 6 months : What is the specific title of the position? Senior Data Scientist What Project/Projects will the candidate be working on while on assignment? 1) Field Team ...

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 ...

Skyworks

Sr. Data Scientist

Irvine, CA · On-site

$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 ...

3B Staffing LLC

Data Scientist

Irvine, CA · Hybrid

Requirements: * 8+ years of experience in Machine learning engineering /MLE , data science and data engineering, with a proven track record of delivering impactful solutions. * Proven experience in ...

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 community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up ...

Boot Barn

Data Scientist

Irvine, CA

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up ...

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 · 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 · 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.

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 ...

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.

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 ...

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All JobsData Scientist JobsSenior Data Scientist JobsSenior Data Scientist Jobs in Riverside, CA

Senior Data Scientist information

See Riverside, CA salary details

$43.3K

$148.6K

$209.7K

How much do senior data scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for senior 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 are some of the main challenges Senior Data Scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

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 results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What does a senior data scientist make?

A senior data scientist typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have advanced skills in machine learning, statistical analysis, and programming languages like Python or R, and may also receive bonuses or stock options.

What does a Senior Data Scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Data Science Director, with salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities.

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

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What Is a Senior Data Scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

More about Senior Data Scientist jobs
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 are popular job titles related to Senior Data Scientist jobs in Riverside, CA? For Senior Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist jobs in Riverside, CA look for? The top searched job categories for Senior Data Scientist jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Senior Data Scientist jobs? Cities near Riverside, CA with the most Senior Data Scientist job openings:
Senior Data Scientist jobs near you
Infographic showing various Senior Data Scientist job openings in Riverside, CA as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $148,624 per year, or $71.5 per hour.
Senior Data Scientist

Senior Data Scientist

Hireblazer

Irvine, CA • On-site

Full-time

Posted 3 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).