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Statistical Data Scientist Jobs in California (NOW HIRING)

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

Qualifications for Data Scientist Strong problem solving skills with an emphasis on product ... Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw ...

CYNET SYSTEMS

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Provides hands-on execution and implementation of data science models. * Translates business ... Skills: * Strong statistics experience. * Competency in developing and delivering multi-mode ...

YO AI Labs

Data Scientist

Glendale, CA · On-site

Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search, Vector DB, GenAI, SQL Qualifications: * Bachelors in Statistics, Economics, Computer Science, Engineering ...

Databricks Inc.

Principal Data Scientist

San Francisco, CA · On-site

$200 - $320/hr

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data Science organization. This person will make Databricks smarter and more data-driven at the highest ...

Posted today

Redolent, Inc.

Data Scientist

Sunnyvale, CA · On-site

... statistical models with various applications in SEM (search engine marketing), including ads ... data science solutions • You have consistently high standards, your passion for quality is ...

PROPRIUS

Data Scientist

Sunnyvale, CA

$130K - $160K/yr

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in ...

Samba

Data Scientist

San Francisco, CA · On-site

$150 - $185/hr

  • Medical

  • Life

  • Retirement

  • PTO

Apply the right statistical and ML technique to the right problem -- drawing from hierarchical ... Mentor junior Data Scientists through code review, pairing, and structured technical feedback ...

Cacheflow

Principal Data Scientist

San Francisco, CA · On-site

$150 - $200/hr

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data Science organization. This person will make Databricks smarter and more data-driven at the highest ...

Databricks

Principal Data Scientist

Mountain View, CA · On-site

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data Science organization. This person will make Databricks smarter and more data-driven at the highest ...

Databricks Inc.

Principal Data Scientist

Mountain View, CA · On-site

$200 - $320/hr

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data Science organization. This person will make Databricks smarter and more data-driven at the highest ...

Apple, Inc.

Data Scientist

Cupertino, CA · On-site

Minimum Qualifications MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain 3+ years experience with data analysis at web scale or relevant work ...

Apple

Data Scientist

Cupertino, CA · On-site

Minimum Qualifications MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain 3+ years experience with data analysis at web scale or relevant work ...

(unknown company)

Data Scientist

Sunnyvale, CA

Data Scientist Location: Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science ...

Samba

Data Scientist

San Francisco, CA

$150K - $185K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Apply the right statistical and ML technique to the right problem - drawing from hierarchical ... Mentor junior Data Scientists through code review, pairing, and structured technical feedback ...

Fanatics

Data Scientist

Los Angeles, CA · On-site

Role Summary As a Data Scientist, you will support the development of analytical models ... Perform statistical analyses and exploratory data analysis to identify trends, patterns, and ...

New

(unknown company)

Data Scientist

Sunnyvale, CA · On-site

Data Scientist Location: Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science ...

Samba

Data Scientist

San Francisco, CA · On-site

$150K - $185K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Apply the right statistical and ML technique to the right problem - drawing from hierarchical ... Mentor junior Data Scientists through code review, pairing, and structured technical feedback ...

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Showing results 21-40

All JobsStatistical Data Scientist JobsStatistical Data Scientist Jobs in California

Statistical Data Scientist information

What does a statistical data scientist do?

A Statistical Data Scientist uses statistical methods and computational tools to analyze large and complex datasets, uncover trends, and generate actionable insights for organizations. They design experiments, build predictive models, and interpret data to solve business problems or advance scientific research. Their work often involves cleaning and preparing data, choosing appropriate statistical techniques, and communicating findings to stakeholders through reports and visualizations.

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

To thrive as a Statistical Data Scientist, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and experience using machine learning libraries and statistical software such as SAS or SPSS are highly valuable. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These competencies ensure that insights derived from data are accurate, actionable, and effectively inform business or research decisions.

How does a statistical data scientist typically collaborate with cross-functional teams on data-driven projects?

Statistical Data Scientists often work closely with cross-functional teams, including engineers, business analysts, and domain experts, to translate complex data into actionable insights. They play a key role in designing experiments, developing statistical models, and ensuring data integrity. Effective communication is essential, as they must explain technical findings to non-technical stakeholders and adapt their analyses to support business objectives. Regular collaboration through meetings, code reviews, and presentations is common, making teamwork and adaptability vital skills in this role.

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

AspectStatistical Data ScientistData Analyst
Required CredentialsDegree in Statistics, Data Science, or related field; proficiency in statistical programmingDegree in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentResearch-focused, developing models, advanced analyticsBusiness-focused, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, healthcare

Statistical Data Scientists focus on building complex models and advanced analytics, often requiring specialized statistical knowledge. Data Analysts primarily interpret data, create reports, and support decision-making with descriptive analytics. While both roles require strong analytical skills and familiarity with statistical tools, Statistical Data Scientists typically handle more complex modeling tasks and have a deeper focus on statistical theory.

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

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

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

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

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

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

Statistical Data Scientist jobs near you
Infographic showing various Statistical Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist

Apex Informatics

Pleasanton, CA • On-site

Contractor

Re-posted 27 days ago

Job description

Job Details: Data Scientist
Location: Pleasanton, CA
Top Skill:
Qualifications for Data Scientist Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests anritaprikhodkod proper usage, etc.) and experience with applications.
Experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
Knowledge and experience in statistical and data mining techniques: GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, , etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
Experience analyzing data from 3rd party providers: Client Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Client Insights, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Top Daily Responsibilities:
1. Support Data-Science and other analytics as needed.
2. Develop SQL queries and data sets 3. Develop business and client facing reports
Skills a Top Candidate Should Have:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Client Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Client Insights, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Desired Skills:
  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • We're looking for someone with experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with software.

Skills:
1. Excellent Communication Skills.
2. Ability to work with business to gather report requirements.
3. Team player. Custom Job Description: If you have a custom job description that you would like to use. Please paste it here: Knowledge and experience with large data sets, event streams and distributed computing (Hive,Impala,Hadoop etc.) Ability to gather requirements and develop reports in tool selected by business and KPIT.

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