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Statistics Contract Jobs in California (NOW HIRING)

Exelixis

Senior Biostatistics Director

Alameda, CA · On-site

Evaluate and manage contract research organizations and other vendors, including scope-of-work, timelines, deliverables and budgets. * Responsible for all statistical oversight within a therapeutic ...

Exelixis

Sr Director, Biostatistics

Alameda, CA · On-site

Provides strategic statistical and regulatory guidance to anticipate challenges, mitigate risk, and ensure project success. Manages timelines, deliverables, and budgets of contract research ...

Exelixis

Sr Director, Biostatistics

Alameda, CA · On-site

Provides strategic statistical and regulatory guidance to anticipate challenges, mitigate risk, and ensure project success. Manages timelines, deliverables, and budgets of contract research ...

Exelixis

Sr Director, Biostatistics

Alameda, CA · On-site

Provides strategic statistical and regulatory guidance to anticipate challenges, mitigate risk, and ensure project success. Manages timelines, deliverables, and budgets of contract research ...

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Showing results 41-60

All JobsStatistics Contract JobsStatistics Contract Jobs in California

Statistics Contract information

What is a statistics contract?

A statistics contract is a formal agreement in which a statistician or statistical consultant provides specialized statistical services to a client or organization on a temporary or project basis. These contracts typically involve tasks such as data analysis, designing experiments, interpreting results, and preparing statistical reports. Statistics contracts are common in industries like healthcare, research, business, and government where expert statistical analysis is required for informed decision-making. The contract outlines the scope of work, deliverables, timelines, and compensation. Such arrangements allow organizations to access expert statistical skills without hiring a full-time employee.

What are the key skills and qualifications needed to thrive as a statistics contract professional?

To excel as a Statistics Contract professional, you need strong quantitative analysis skills, a solid background in statistics or mathematics, and typically a relevant degree such as a BS or MS in statistics or a related field. Proficiency in statistical software such as R, SAS, SPSS, or Python, and familiarity with data management systems are commonly required. Excellent problem-solving abilities, attention to detail, and clear communication skills help distinguish top performers in this role. These competencies are crucial for producing accurate data analyses, conveying insights effectively to stakeholders, and ensuring the validity of research findings or business decisions.

What are some common challenges faced by professionals working in statistics contract positions?

One of the main challenges in statistics contract roles is quickly adapting to new projects and industry-specific data requirements, as each contract may involve different datasets, methodologies, and client expectations. Contract statisticians often work independently or as part of a remote team, which requires strong communication and self-management skills to meet deadlines and deliver accurate analyses. Additionally, managing multiple contracts simultaneously can be demanding, so effective time management and organizational abilities are crucial for success.

What is the difference between Statistics Contract vs Data Analyst?

AspectStatistics ContractData Analyst
Required CredentialsTypically requires a degree in statistics, mathematics, or related fieldUsually requires a degree in statistics, data science, or related field
Work EnvironmentContract-based, often project-specific, in various industriesFull-time or contract, working with data sets in business or tech sectors
Employer & Industry UsageUsed by organizations needing specialized statistical analysisEmployed across industries for data interpretation and reporting
Search & Comparison IntentOften compared for contract-based statistical workCompared for data analysis roles in organizations

Statistics Contract roles focus on providing specialized statistical analysis on a temporary basis, often requiring advanced statistical skills and certifications. Data Analysts typically handle broader data interpretation tasks, working within organizations to support decision-making. While both roles involve working with data, Statistics Contracts are more project-specific and contract-based, whereas Data Analysts often have ongoing employment roles.

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

The most popular types of Statistics jobs in California are:

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

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

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

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

What cities in California are hiring for Statistics Contract jobs?

Cities in California with the most Statistics Contract job openings:

Statistics Contract jobs near you
Infographic showing various Statistics Contract job openings in California as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Scientist - Sunnyvale, CA - W2 Contract

Rootshell Enterprise Technologies, Inc.

Sunnyvale, CA • On-site

Other

Re-posted 7 days ago

Job description

Job Title: Data Scientist
Location: Sunnyvale, CA
12 Months
W2 Contract
Minimum Qualifications
  • BA or BS degree in statistical analysis, computer science, data science, or related field.
  • 7+ years experience in deploying data science, machine learning, or anomaly detection techniques to solve practical business problems.
  • Outstanding written and verbal communication, with the ability to make complex data science concepts understandable to non-technical audiences.
  • Proficiency in SQL, preferably in Snowflake.
  • Experience with anomaly and outlier detection methods and algorithms.
  • Strong programming skills in Python with experience using packages such as Pandas, NumPy, scikit-learn.
  • Experience in quantitative data analysis, possessing a strong ability to conduct in-depth evaluations of complex issues.
  • Have a creative approach to engineer innovative features and signals into analytical solutions, pushing the boundaries of current tools and methodologies.
  • Applied knowledge of statistical data analysis to perform trend and anomaly identification, predictive modeling, and hypothesis testing.
  • Proven ability to make data-driven, convincing arguments to drive process changes.
  • Demonstrated experience in leading data science projects through all phases including exploratory data analysis, data quality management, modeling, tool deployment, and presentation of results.

Preferred Qualifications
  • Experience with Docker, Kubernetes, Airflow.
  • Experience with front end libraries such as React or Streamlit.
  • Experience with LLMs and Graph Databases.
  • Demonstrated ability to implement, improve, debug, and maintain machine learning models.
  • Highly Proficient in Tableau.

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