Data Scientist Jobs in California
Data Scientist jobs in California are among the most active in the country, with demand concentrated in technology, healthcare, financial services, and entertainment analytics at every level from entry-level analyst through principal and staff data scientist. The San Francisco Bay Area, Los Angeles, and San Diego are the largest hiring markets, home to anchoring employers like Google, Kaiser Permanente, and Wells Fargo, all of which maintain substantial California data science teams. The most in-demand specializations include machine learning engineering, natural language processing, and applied analytics for product and clinical decision-making. Find a role that fits below and apply directly.
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Showing 5 of 448+ Data Scientist jobs
Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.
Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors.As a Data Scientist on the Pharmacy team, you’ll play a key role in evolving the analytical engine behind our pharmacy data and Part D Star measures within our Medicare Advantage line of business. This role focuses on applied data science to enhance the analytics, trending, and predictive modeling that inform pharmacy and Part D Star strategy. You'll help make tools more transparent, precise, adaptable, and actionable — incorpo-rating new methods, partnerships, and technologies along the way.
Job Duties/Responsibilities:
- Partner with Pharmacy leadership to understand business problems, propose analytical solutions, and turn findings into clear, actionable takeaways for stakeholders.
- Convert analytical models and business rules into scalable, production-ready tools.
- Design dashboards and reporting that track Stars measure trajectories and intervention impact.
- Build cut-point projection and simulation models to forecast Star Rating outcomes under varying performance and CMS methodology scenarios.
- Build out prioritization rules, measure improvement models, and next-best-action (NBA) logic.
- Analyze the financial impact of pharmacy and Star performance to help leadership prioritize investment and interventions.
- Manage projects end to end – from problem definition through analysis, model building, validation, deployment support, and ongoing monitoring.
- Collaborate with data and engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments.
- Help standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness.
- Bring in new data sources, techniques, and emerging tools to continuously improve analytical capabilities.
- Other duties as assigned by your manager.
Supervisory Responsibilities: N/A
MINIMUM REQUIREMENTS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Minimum Experience:
- 2+ years of relevant experience in predictive modeling and data analysis
Education/Licensure:
- Bachelor or Master’s in Computer Science, Engineering, Mathematics, Statistics, or related field (PhD a plus), or equivalent related experience.
Other:
- Excellent communication, analytical and collaborative problem-solving skills.
- Experience in building data science solutions and applying machine learning methods to real world problems with measurable outcomes.
- Familiarity with time-series analysis or forecasting methods.
- Solid data structures & algorithms background.
- Strong programming skills in one of the following: Python, Java, R, Scala or C++
- Demonstrated proficiency in SQL and relational databases.
- Experience with data visualization and presentation, turning complex analysis into insight.
- Experience in setting experimental analytics frameworks or strategies for complex scenarios.
- Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc.
- Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources
Preferred Qualifications:
- Prior healthcare experience, ideally supporting Stars or Part D analytics.
- Experience in Big Data processing technologies: Hadoop, Spark, Cosmos.
- Experience in Azure, AWS or other cloud ecosystems.
- Strong understanding of CMS Stars rating measures and methodology.
- Published work in academic conferences or industry circles.
- Demonstrated track record in navigating ambiguity, shifting priorities, and delivering results in an agile environment.
Work Environment:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
ESSENTIAL PHYSICAL FUNCTIONS:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms.
The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.
Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran.
If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact careers@ahcusa.com.
Pay Range: $149,882.00 - $224,823.00Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.
Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.
- DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at https://reportfraud.ftc.gov/#/. If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health’s talent acquisition team, please email careers@ahcusa.com.
Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.
Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors.As a Data Scientist on the Pharmacy team, you’ll play a key role in evolving the analytical engine behind our pharmacy data and Part D Star measures within our Medicare Advantage line of business. This role focuses on applied data science to enhance the analytics, trending, and predictive modeling that inform pharmacy and Part D Star strategy. You'll help make tools more transparent, precise, adaptable, and actionable — incorpo-rating new methods, partnerships, and technologies along the way.
Job Duties/Responsibilities:
- Partner with Pharmacy leadership to understand business problems, propose analytical solutions, and turn findings into clear, actionable takeaways for stakeholders.
- Convert analytical models and business rules into scalable, production-ready tools.
- Design dashboards and reporting that track Stars measure trajectories and intervention impact.
- Build cut-point projection and simulation models to forecast Star Rating outcomes under varying performance and CMS methodology scenarios.
- Build out prioritization rules, measure improvement models, and next-best-action (NBA) logic.
- Analyze the financial impact of pharmacy and Star performance to help leadership prioritize investment and interventions.
- Manage projects end to end – from problem definition through analysis, model building, validation, deployment support, and ongoing monitoring.
- Collaborate with data and engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments.
- Help standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness.
- Bring in new data sources, techniques, and emerging tools to continuously improve analytical capabilities.
- Other duties as assigned by your manager.
Supervisory Responsibilities: N/A
MINIMUM REQUIREMENTS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Minimum Experience:
- 2+ years of relevant experience in predictive modeling and data analysis
Education/Licensure:
- Bachelor or Master’s in Computer Science, Engineering, Mathematics, Statistics, or related field (PhD a plus), or equivalent related experience.
Other:
- Excellent communication, analytical and collaborative problem-solving skills.
- Experience in building data science solutions and applying machine learning methods to real world problems with measurable outcomes.
- Familiarity with time-series analysis or forecasting methods.
- Solid data structures & algorithms background.
- Strong programming skills in one of the following: Python, Java, R, Scala or C++
- Demonstrated proficiency in SQL and relational databases.
- Experience with data visualization and presentation, turning complex analysis into insight.
- Experience in setting experimental analytics frameworks or strategies for complex scenarios.
- Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc.
- Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources
Preferred Qualifications:
- Prior healthcare experience, ideally supporting Stars or Part D analytics.
- Experience in Big Data processing technologies: Hadoop, Spark, Cosmos.
- Experience in Azure, AWS or other cloud ecosystems.
- Strong understanding of CMS Stars rating measures and methodology.
- Published work in academic conferences or industry circles.
- Demonstrated track record in navigating ambiguity, shifting priorities, and delivering results in an agile environment.
Work Environment:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
ESSENTIAL PHYSICAL FUNCTIONS:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms.
The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.
Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran.
If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact careers@ahcusa.com.
Pay Range: $149,882.00 - $224,823.00Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.
Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.
- DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at https://reportfraud.ftc.gov/#/. If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health’s talent acquisition team, please email careers@ahcusa.com.
See All 448+ Data Scientist Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Scientist JobsData Scientist Jobs by City in California
Where California roles are concentrated, by current openings.
Data Scientist Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Google34
- Apple21
- Intuit19
- TikTok12
- Walmart11
Top Industries Hiring
- Technology & Software89
- Electronics & Hardware15
- Banking & Financial Services9
- Retail8
- Science & Research6
What California Employers Look For
The qualifications that appear most often in data scientist jobs across California.
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related quantitative field
- Proficiency in Python and SQL for data manipulation, modeling, and pipeline development
- Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Ability to communicate findings to non-technical stakeholders through clear written and visual reports
- Experience working with large datasets using cloud platforms such as AWS, Google Cloud, or Azure
- Familiarity with experiment design, A/B testing, and statistical inference in a product or research context
Data Scientist Jobs in California: Frequently Asked Questions
How do you become a data scientist in California?
Data science has no state-issued license in California, so the path runs through education and demonstrated skills. Most California employers expect at least a bachelor's degree in a quantitative field, with a master's degree preferred at mid-level and above. Building a portfolio of projects, contributing to open-source work, and completing graduate-level coursework through California's UC or CSU system are the most direct routes into the field.
How much do data scientists make in California?
Data scientists in California earn a median of about $141,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,480 for the lowest 10% to over $224,920 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data scientists in California?
Employers hiring data scientists in California right now include Google, Apple, and Intuit, based on current listings on Migrate Mate as of September 2026. California's concentration of technology headquarters, large health systems, and major financial institutions means openings appear across industries, not just in software companies.
Which California cities have the most data scientist jobs?
San Francisco, Mountain View, and Sunnyvale have the most data scientist openings in California. The San Francisco Bay Area leads because of its dense concentration of technology headquarters and venture-backed startups, while Los Angeles draws from entertainment analytics, healthcare, and aerospace, and San Diego's biotech and defense sectors drive steady demand there.
Are there remote data scientist jobs in California?
Yes, and more than most fields. About 65% of data scientist openings tied to California are remote or hybrid as of September 2026, reflecting how central this work is to software and analytics products built entirely in distributed environments. Roles focused on modeling and reporting tend to be the most remote-friendly, while positions requiring close collaboration with engineering teams or clinical operations are more likely to require on-site presence.
How can I get hired as a data scientist in California with little or no experience?
The most realistic entry path is applying for analyst or junior data scientist roles at large California technology, health, or financial services employers that run structured new-grad programs. Companies like Kaiser Permanente, Salesforce, and major UC medical centers offer rotational or associate-level positions designed for recent graduates. Building a portfolio of end-to-end projects in Python and SQL, completing a master's program at a UC or CSU campus, or moving laterally from a data analyst or business intelligence role are the approaches that most consistently open doors in California.
Where can I find and apply to data scientist jobs in California?
You can find and apply to data scientist jobs in California on Migrate Mate, which lists current California openings updated regularly. Search the listings for roles that match your experience level and location preference, then apply directly to the ones that fit.
See All 448+ Data Scientist Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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