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Data Analyst Data Scientist Jobs in California (NOW HIRING)

psudo

... analytic needs Requirements: * Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work ...

Find Data Science

Data Scientist

San Francisco, CA

Data Scientist - San Francisco We are seeking a talented and experienced Data Scientist to join our ... Your expertise in data analysis, machine learning, and statistical modeling will enable you to ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA

Role Summary As a Data Scientist, you will support the development of analytical models, experimentation, and reporting that help improve our products and inform business decisions. Working closely ...

Teichert

Data Scientist

Sacramento, CA · On-site

Develops, validates, and deploys analytics & data science models and agentic AI solutions using structured and unstructured data to address business challenges across operations, asset management ...

New

Careers at Teichert

Data Scientist

Sacramento, CA

Develops, validates, and deploys analytics & data science models and agentic AI solutions using structured and unstructured data to address business challenges across operations, asset management ...

New

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

Role Summary As a Data Scientist, you will support the development of analytical models, experimentation, and reporting that help improve our products and inform business decisions. Working closely ...

Excelhire

Data Analyst

Los Angeles, CA

$32/hr

Bachelor's degree in Data Science, Statistics, Computer Science, or related field * 1-3 years of experience in data analysis (preferred) * Strong knowledge of Excel, SQL, and data visualization tools ...

CLARA analytics

Data Scientist

Santa Clara, CA · On-site

CLARA analytics is looking for extraordinary data scientists to synthesize and leverage ever-growing datasets to help radically transform the operational performance in the workers' compensation ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

Apple

Data Scientist

Cupertino, CA · On-site

... AB testing, exploratory data analysis, AI/ML modeling, data mining, and more. Minimum ... Science, Statistics, Physics, Operations Research, or similar quantitative domain 3+ years ...

CLARA analytics

Data Scientist

Santa Clara, CA

CLARA analytics is looking for extraordinary data scientists to synthesize and leverage ever-growing datasets to help radically transform the operational performance in the workers' compensation ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Data Science is at the core of our business, so this team has true ownership and impact over ...

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All JobsData Analyst Data Scientist JobsData Analyst Data Scientist Jobs in California

Data Analyst Data Scientist information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data analyst data scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data analyst data scientist in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

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

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are popular job titles related to Data Analyst Data Scientist jobs in California?

For Data Analyst Data Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Scientist jobs in California look for?

The top searched job categories for Data Analyst Data Scientist jobs in California are:

What cities in California are hiring for Data Analyst Data Scientist jobs?

Cities in California with the most Data Analyst Data Scientist job openings:

Data Analyst Data Scientist jobs near you
Infographic showing various Data Analyst Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Data Analyst / Data Scientist

psudo

On-site, Remote

Full-time

Re-posted 20 days ago

Job description

Other locations: Canada, London, India & Australia.


Remote: OK


Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

  • Ensure that data flows smoothly from source to destination so that it can be processed
  • Utilize strong database skills to work with large, complex data sets to extract insights
  • Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
  • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
  • Build tools for automating repetitive asks so that bandwidth can be freed for analytics
  • Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
  • Work closely with top management to prioritize information and analytic needs

Requirements:

  • Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 2-3 years (open to talk to freshers as well).
  • Ability to program in any high level language is required. Familiarity with R and statistical packages are preferred.
  • Proven problem solving and debugging skills.
  • Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.
  • Experience with text analytics, data mining and social media analytics.
  • Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.
Employment Type: FULL_TIME

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