ZipRecruiter

Log In

1

Statistics Data Science Jobs in California (NOW HIRING)

Deloitte

AI and Data Science Engineer III

San Jose, CA · On-site +1

$134K - $161K/yr

Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field * 4+ years of experience building and delivering large language model or generative artificial ...

Deloitte

AI and Data Science Engineer III

Los Angeles, CA · On-site +1

$123K - $148K/yr

Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field * 4+ years of experience building and delivering large language model or generative artificial ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

Responsibilities : • Use statistical and ML based techniques to reduce selection bias, build ... our data science and engineering teams to design and implement data models that measure ad ...

Deloitte

AI and Data Science Engineer III

San Francisco, CA · On-site

$134K - $162K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and ...

Deloitte

AI and Data Science Engineer III

Los Angeles, CA · On-site

$123K - $148K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and ...

Heartflow

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

Masters or PhD Degree in Engineering, Computer Science, Statistics, Data Science or related degree. * Work Experience: 7+ years (or 5+ with PhD) of proven track record in Data Science, Machine ...

Deloitte

AI and Data Science Engineer III

San Jose, CA · On-site

$134K - $161K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and ...

Deloitte

AI and Data Science Engineer III

Sacramento, CA · On-site

$122K - $146K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and ...

Deloitte

AI and Data Science Engineer III

San Diego, CA · On-site

$121K - $146K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and ...

Deloitte

AI and Data Science Engineer III

Costa Mesa, CA · On-site

$122K - $147K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

The Co-Op role in Data Science involves applying statistical and machine learning techniques to the ad-tech space, working on mission-critical projects, and contributing to the Insights Engineering ...

NextDeavor Inc.

Data Scientist

San Francisco, CA · On-site

$90.14 - $112.68/hr

Experience building and training statistical/data science models * Experience with statistical analysis in SaaS or subscription business models * Experience with data visualization tools (preferably ...

Sandisk

Sr. People Data Scientist

Milpitas, CA · On-site

Required : • Bachelor's degree in Statistics, Data Science, Computer Science, Data Analytics or a related field, or an equivalent combination of education and experience. • 6+ years of experience ...

next page

Showing results 1-20

All JobsStatistics Data Science JobsStatistics Data Science Jobs in California

Statistics Data Science information

See California salary details

$45.4K

$162.9K

$240.3K

How much do statistics data science jobs pay per year?

As of Jun 17, 2026, the average yearly pay for statistics data science 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 jobs can I get with a statistics and data science degree?

A statistics and data science degree prepares you for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative analyst. These positions typically require skills in programming languages like Python or R, data visualization, and statistical modeling, often within technology, finance, healthcare, or consulting industries.

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

To thrive as a Statistics Data Scientist, you need a solid background in statistics, mathematics, and programming, often supported by a degree in a quantitative field. Proficiency with statistical software (such as R or SAS), programming languages (like Python), and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying insights to stakeholders. These competencies ensure accurate data analysis, actionable business solutions, and clear communication within cross-functional teams.

What do you do in statistics and data science?

In statistics and data science, professionals analyze data to identify patterns, develop models, and generate insights that inform decision-making. They use tools like Python, R, and SQL, and often work with large datasets, applying techniques such as machine learning, data visualization, and statistical testing to solve complex problems. These roles typically require strong analytical skills and knowledge of statistical methods and programming.

Can you be a data scientist with a statistics degree?

Yes, a statistics degree can provide a strong foundation for a data scientist role, as it covers essential skills like data analysis, probability, and statistical modeling. Data scientists often also need programming skills in languages such as Python or R and experience with data visualization tools and machine learning techniques.

What are statistics data scientists?

Statistics data scientists are professionals who apply statistical methods and data analysis techniques to extract insights from large and complex datasets. They combine expertise in mathematics, computer science, and domain knowledge to solve real-world problems, build predictive models, and inform decision-making processes. Their work often involves collecting, cleaning, and analyzing data, as well as communicating findings to stakeholders through reports and visualizations.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

How do Statistics Data Scientists typically collaborate with cross-functional teams to deliver impactful insights?

Statistics Data Scientists frequently work alongside professionals from engineering, product management, and business teams to define project goals and identify key metrics. Collaboration often includes translating complex statistical analyses into actionable business recommendations and clearly communicating findings to non-technical stakeholders. This role requires strong interpersonal skills, as well as the ability to adapt technical language for diverse audiences. Regular meetings, data review sessions, and shared project management tools are common parts of the workflow, ensuring that insights are aligned with organizational objectives.
What are popular job titles related to Statistics Data Science jobs in California? For Statistics Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Statistics Data Science jobs in California look for? The top searched job categories for Statistics Data Science jobs in California are:
What cities in California are hiring for Statistics Data Science jobs? Cities in California with the most Statistics Data Science job openings:
Statistics Data Science jobs near you
Infographic showing various Statistics Data Science job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Data Scientist Analyst - Secondaries & Primaries

Ardian

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The Role
This position offers a unique opportunity to immerse yourself in the fast-paced world of private equity, specifically within the innovative Secondaries and Primaries market. You will gain hands-on experience in applying data science and artificial intelligence techniques to real-world financial problems, contributing directly to the team's success.
Joining the Secondaries & Primaries team at Ardian, the Data Scientist will leverage analytical skills to support investment strategies and decision-making processes. You will be part of an already established fast-growing data science team entirely dedicated to the Secondaries & Primaries activity.
This role involves working closely with the investment team, applying data science methodologies to optimize investment models, analyze market trends, and enhance data-driven insights for the Secondaries and Primaries markets. You will work on both established datasets and the structuring of new data sources, in close collaboration with our data engineering team.
Current projects include, but are not limited to:
  • Portfolio-level analytics: fund and company performance modeling, GP benchmarking through development of proprietary machine learning models
  • AI integration into day-to-day team workflows, including pricing and other deal-related aspects
  • Market intelligence: identifying trends in private equity markets
  • Deal execution: data-driven screening of opportunities, valuation support
  • Risk assessment: scenario modeling for fund investments
  • Support responses to LP analytics and data-driven requests

Core Technical Skills
  • Programming languages & technical stack (SQL, Python, R, GitHub, Databricks, Snowflake)
  • Machine learning & AI (predictive modeling, generative AI, NLP) - Experience in developing AI tools and agentic workflows is advantageous
  • Statistical analysis & econometrics
  • Data visualization tools (e.g., Tableau, Power BI)

Business & Investment Skills
  • Knowledge of the finance and private equity sector, with a desire to understand Secondaries and Primaries market dynamics
  • Financial modeling & valuation
  • Market analysis & competitive intelligence
  • Understanding of investment processes (deal sourcing, due diligence, portfolio monitoring)
  • Strong analytical and problem-solving skills

Soft Skills
  • Highly motivated with the ability to work autonomously and in a team environment.
  • Excellent communication skills with the ability to present complex technical concepts in a clear and concise manner.
  • Stakeholder management (investment teams, investors, other parties)
  • Strategic thinking & problem-solving

Communication Scope:
  • The candidate will be required to liaise directly with various internal team members and should be confident in requesting / providing information to all levels of management
  • The role will require significant interaction with other teams in Europe and from other Ardian offices / geographies

Profile
  • Degree in Computer Science, Statistics, Data Science or another related field
  • 1-3 years' experience. The role will initially focus on supporting senior team members, with increasing ownership over models and analyses as experience grows
  • Familiarity working with international teams and across cultures

Apply