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Applied Statistics Jobs in California (NOW HIRING)

Staffwing Inc

Lead Data Scientist

San Jose, CA · On-site

Expertise in mathematics and applied statistics, computer science, and visualization capabilities. * Curious and an excellent learner. Able to research, explore and acquire working knowledge in new ...

Staffwing Inc

Lead Data Scientist

San Jose, CA · On-site

Expertise in mathematics and applied statistics, computer science, and visualization capabilities. * Curious and an excellent learner. Able to research, explore and acquire working knowledge in new ...

LinkedIn

Senior Data Scientist

Sunnyvale, CA · On-site

Experience in applied statistics and statistical modeling in at least one statistical software package. * Experience telling stories with data and visualization tools. * Experience running platform ...

LinkedIn

Senior Data Scientist

Sunnyvale, CA · On-site +1

Experience in applied statistics and statistical modeling in at least one statistical software package. * Experience telling stories with data and visualization tools. * Experience running platform ...

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All JobsApplied Statistics JobsApplied Statistics Jobs in California

Applied Statistics information

See California salary details

$40K

$82.6K

$115.5K

How much do applied statistics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for applied statistics in California is $82,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $114,500.00 per year, depending on experience, location, and employer.

What is an applied statistics?

An Applied Statistics job involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field apply mathematical models, statistical software, and analytical reasoning to interpret data, make informed decisions, and optimize processes. They often work in sectors like healthcare, finance, marketing, and technology, providing insights and recommendations based on data trends.

What does an applied statistics do?

Professionals in Applied Statistics can expect to work on projects involving data collection, cleaning, statistical modeling, and interpretation of results for practical applications in fields like healthcare, finance, marketing, or engineering. Daily responsibilities may include designing experiments or surveys, performing hypothesis testing, and creating actionable reports or presentations for non-technical audiences. Collaboration with multidisciplinary teams—such as data scientists, subject matter experts, and business leaders—is common to ensure data-driven solutions align with organizational goals. This diversity of tasks provides valuable learning experiences and opportunities for career growth into roles such as senior analyst, data scientist, or statistical consultant.

What are the key skills and qualifications needed to thrive in applied statistics?

To thrive in Applied Statistics, you need a solid background in statistical theory, data analysis, and mathematical modeling, typically with a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and often certifications in analytics or data science, is important. Strong analytical thinking, effective communication, and problem-solving abilities help set candidates apart. These skills ensure accurate analysis of complex data, meaningful interpretation for stakeholders, and valuable contributions to evidence-based decision making.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming languages like R or Python. It offers diverse opportunities across industries such as healthcare, finance, and technology, with competitive salaries and growth potential. Success typically depends on strong analytical skills, statistical knowledge, and the ability to communicate findings effectively.

What can you do with an applied statistics degree?

An applied statistics degree prepares individuals for roles such as data analyst, statistician, or data scientist, involving data collection, analysis, and interpretation using tools like R or Python. Graduates can work in industries like healthcare, finance, marketing, or technology, often requiring strong analytical skills and knowledge of statistical methods. Certification in statistical software or data analysis can enhance job prospects.

What are the most commonly searched types of Applied Statistics jobs in California?

The most popular types of Applied Statistics jobs in California are:

What are popular job titles related to Applied Statistics jobs in California?

For Applied Statistics jobs in California, the most frequently searched job titles are:

What job categories do people searching Applied Statistics jobs in California look for?

The top searched job categories for Applied Statistics jobs in California are:

What cities in California are hiring for Applied Statistics jobs?

Cities in California with the most Applied Statistics job openings:

Applied Statistics jobs near you
Infographic showing various Applied Statistics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,561 per year, or $39.7 per hour.

Lead Biostatistician (IVD Clinical)

Natera

San Carlos, CA • On-site

Full-time

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

Natera rating

7.8

Company rating: 7.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

56th of 121 rated laboratories

Job description

This is an exciting opportunity to advance Natera's regulated product portfolio of cutting-edge molecular diagnostic tests. As a Lead Biostatistician, you will leverage your strong applied statistics and IVD expertise to oversee the design, analysis, and interpretation of clinical trials for regulatory submissions to support our oncology portfolio. 

PRIMARY RESPONSIBILITIES:

  • Design and review statistical methodology in protocols and statistical analysis plans
  • Lead execution of statistical analyses according to plans and protocols, as well as exploratory or ad-hoc analyses 
  • Produce high quality presentations and author documentation of analysis plans, methods, results, and interpretation
  • Effectively convey statistical concepts and results to cross-functional internal and external collaborators and stakeholders
  • Identify risks, communicate concerns, and champion solutions to interdisciplinary project teams
  • Mentor and provide technical supervision to junior team members
  • Perform other duties as assigned

QUALIFICATIONS:

  • Master's degree in biostatistics, statistics, or equivalent with 5+ years of relevant experience, or PhD in biostatistics, statistics, or equivalent with 3+ years of relevant experience
  • At least 3 years practical experience designing and executing statistical analyses in a regulated environment and clinical trials for regulatory submissions
  • Minimum of 4 years practical experience with statistical analysis software such as R (preferred), SAS, or JMP
  • Previous diagnostic experience preferred

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Expert knowledge of probability theory and statistics including the ability to evaluate and produce novel methods and applications
  • Familiarity with typical approaches, best practices, and regulatory standards in clinical trial design
  • Demonstrated ability and enthusiasm for working on cross-functional teams with members of diverse technical backgrounds
  • Strong communication skills, with the ability to explain complex statistical concepts to non-statistical audiences
  • Track record of producing high quality written documentation for multiple audiences
  • Prior experience with next-generation sequencing (NGS), genetics, and/or oncology testing a plus
  • Previous experience interacting with regulatory bodies such as the FDA preferred

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