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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If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 78473
Description
We are seeking a highly motivated Senior Data Scientist to join our team and drive data-driven decision making across engineering, operations, and business functions. In this role, you will leverage advanced analytics, machine learning, statistical modeling, and large-scale data processing to transform complex datasets into actionable insights that improve products, processes, and business outcomes.
The ideal candidate is passionate about solving challenging problems, working with diverse data sources, and partnering with cross-functional stakeholders to deliver innovative analytical solutions. You will play a key role in designing and implementing scalable data science solutions, developing predictive models, and communicating insights that influence strategic and operational decisions.
Responsibilities
Lead end-to-end data science initiatives from problem definition through deployment, adoption, and value measurement. Develop machine learning, statistical, optimization, and AI solutions for complex engineering and business challenges. Analyze large-scale structured and unstructured data to generate actionable insights and recommendations. Design experiments, predictive models, forecasting systems, and anomaly-detection solutions. Build scalable data pipelines, automated workflows, analytical tools, and reusable data products. Create dashboards and visualizations that enable timely, data-driven decisions. Communicate technical findings and strategic recommendations to stakeholders and leadership.
Required Experience and Skills
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
8+ years of experience in Data Science, Machine Learning, Analytics, or a related field.
Solid understanding of statistics, experimental design, hypothesis testing, and predictive modeling.
Proven track record of delivering data-driven solutions that generated measurable business impact.
Experience developing, validating, and deploying machine learning and statistical models, including Regression, Classification, Clustering, Forecasting, Anomaly Detection.
Experience working with large-scale structured and unstructured datasets.
Experience extracting, transforming, integrating, and analyzing data from multiple disparate sources.
Experience collaborating with cross-functional stakeholders to translate business requirements into analytical solutions.
Strong problem-solving and analytical skills.
Ability to influence decision-making through data insights and recommendations.
Excellent written, verbal, and presentation skills.
Desired Experience and Skills
Preference for Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
Experience leading end-to-end data science projects from problem definition through deployment and business adoption.
Experience defining analytics strategy and influencing organizational direction.
Experience mentoring junior data scientists, analysts, or engineers.
Experience in semiconductor, manufacturing, quality, supply chain, product, or engineering analytics.
Experience applying analytics to Yield improvement, Process optimization, Quality improvement, Forecasting, Capacity planning, Root-cause analysis, Anomaly detection.
Experience with cloud and big data platforms such as Azure, AWS, Databricks, or Spark.
Experience with Generative AI, Large Language Models (LLMs), and AI-assisted analytics solutions.
Expertise in deep learning frameworks such as TensorFlow or PyTorch.
Knowledge of optimization methods, causal inference, advanced forecasting techniques, or reinforcement learning.
#LI-JR1
The typical base pay range for this role across the U.S. is currently USD $135,900 - $295,000 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 78473
Description
We are seeking a highly motivated Senior Data Scientist to join our team and drive data-driven decision making across engineering, operations, and business functions. In this role, you will leverage advanced analytics, machine learning, statistical modeling, and large-scale data processing to transform complex datasets into actionable insights that improve products, processes, and business outcomes.
The ideal candidate is passionate about solving challenging problems, working with diverse data sources, and partnering with cross-functional stakeholders to deliver innovative analytical solutions. You will play a key role in designing and implementing scalable data science solutions, developing predictive models, and communicating insights that influence strategic and operational decisions.
Responsibilities
Lead end-to-end data science initiatives from problem definition through deployment, adoption, and value measurement. Develop machine learning, statistical, optimization, and AI solutions for complex engineering and business challenges. Analyze large-scale structured and unstructured data to generate actionable insights and recommendations. Design experiments, predictive models, forecasting systems, and anomaly-detection solutions. Build scalable data pipelines, automated workflows, analytical tools, and reusable data products. Create dashboards and visualizations that enable timely, data-driven decisions. Communicate technical findings and strategic recommendations to stakeholders and leadership.
Required Experience and Skills
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
8+ years of experience in Data Science, Machine Learning, Analytics, or a related field.
Solid understanding of statistics, experimental design, hypothesis testing, and predictive modeling.
Proven track record of delivering data-driven solutions that generated measurable business impact.
Experience developing, validating, and deploying machine learning and statistical models, including Regression, Classification, Clustering, Forecasting, Anomaly Detection.
Experience working with large-scale structured and unstructured datasets.
Experience extracting, transforming, integrating, and analyzing data from multiple disparate sources.
Experience collaborating with cross-functional stakeholders to translate business requirements into analytical solutions.
Strong problem-solving and analytical skills.
Ability to influence decision-making through data insights and recommendations.
Excellent written, verbal, and presentation skills.
Desired Experience and Skills
Preference for Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
Experience leading end-to-end data science projects from problem definition through deployment and business adoption.
Experience defining analytics strategy and influencing organizational direction.
Experience mentoring junior data scientists, analysts, or engineers.
Experience in semiconductor, manufacturing, quality, supply chain, product, or engineering analytics.
Experience applying analytics to Yield improvement, Process optimization, Quality improvement, Forecasting, Capacity planning, Root-cause analysis, Anomaly detection.
Experience with cloud and big data platforms such as Azure, AWS, Databricks, or Spark.
Experience with Generative AI, Large Language Models (LLMs), and AI-assisted analytics solutions.
Expertise in deep learning frameworks such as TensorFlow or PyTorch.
Knowledge of optimization methods, causal inference, advanced forecasting techniques, or reinforcement learning.
#LI-JR1
The typical base pay range for this role across the U.S. is currently USD $135,900 - $295,000 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
See All 421+ 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
- Intuit37
- Google18
- TikTok16
- Roblox12
- Walmart11
Top Industries Hiring
- Technology & Software77
- Banking & Financial Services8
- Science & Research5
- Fintech4
- Retail3
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 Intuit, Google, and TikTok, based on current listings on Migrate Mate as of November 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, San Jose, and Mountain View 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 68% of data scientist openings tied to California are remote or hybrid as of November 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 421+ Data Scientist Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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