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Masters In Statistics Jobs in Berkeley, CA (NOW HIRING)

Swayable

Research Data Scientist

San Francisco, CA · On-site

... Masters/PhD in data science, statistics, physics, mathematics, bioinformatics, computer science, or a related quantitative field. Company : Swayable is a creative testing platform that measures ...

Salesforce, Inc.

Director, Decision Science

San Francisco, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... * MBA or Master's in a quantitative field (computer science, economics, statistics, engineering, or equivalent) preferred. * Hands-on familiarity with Salesforce's core platform and product suite is ...

Salesforce, Inc.

Decision Scientist Lead

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... * MBA or Master's in Technology (computer science, computer engineering, economics, applied math, statistics, engineering, or other quantitative field). * Proven experience working directly with ...

Salesforce, Inc.

Director, Decision Science

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... * MBA or Master's in a quantitative field (computer science, economics, statistics, engineering, or equivalent) preferred. * Hands-on familiarity with Salesforce's core platform and product suite is ...

NorthEastern

Adjunct Faculty - Analytics (Oakland)

Oakland, CA · On-site

$2.3K/wk

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... statistics, data exploration, data visualization, and predictive analytics. The mission of the ... Minimum qualification: Masters in an aligned discipline and analytics-industry experience.

Slickdeals

Sr. Data Scientist II

San Mateo, CA · On-site

$175K - $205K/yr

  • Medical

  • Retirement

  • PTO

Advanced degree (MS or PhD) in Statistics, Economics, Computer Science, Engineering, Sciences, or another quantitative field. * 8+ years of experience with Masters or 5+ years of experience with PhD

Slickdeals

Sr. Data Scientist II

San Mateo, CA

$175K - $205K/yr

  • Medical

  • Retirement

  • PTO

Advanced degree (MS or PhD) in Statistics, Economics, Computer Science, Engineering, Sciences, or another quantitative field. * 8+ years of experience with Masters or 5+ years of experience with PhD

Salesforce, Inc.

Senior Data Scientist (SMTS)

San Francisco, CA · On-site

$148.50 - $223.90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

At least two (2) years experience , plus a graduate degree (Masters' at least) in a related technical field*** **Strong fundamentals in applied statistics and probability*** **Demonstrated experience ...

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Showing results 21-40

All JobsMasters In Statistics JobsMasters In Statistics Jobs in Berkeley, CA

Masters In Statistics information

See Berkeley, CA salary details

$49.6K

$102.4K

$143.3K

How much do masters in statistics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for masters in statistics in Berkeley, CA is $102,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $142,000.00 per year, depending on experience, location, and employer.

What can you do with a master's in statistics?

A Master's in Statistics opens up a wide range of career opportunities in various industries, including healthcare, finance, government, technology, and research. Graduates often work as data analysts, statisticians, biostatisticians, data scientists, or research scientists. They are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This degree also provides a strong foundation for pursuing doctoral studies or specialized roles in academia and industry.

What types of roles and industries typically hire professionals with a master's in statistics, and how do these roles differ in daily responsibilities?

A Master's in Statistics opens doors to a variety of roles across industries such as healthcare, finance, technology, government, and research institutions. For example, statisticians in healthcare may focus on designing clinical trials and analyzing patient outcomes, while those in finance might develop risk models or forecast market trends. In tech, statisticians often collaborate with data scientists and engineers to optimize algorithms or interpret large data sets. Daily responsibilities can range from data cleaning and analysis to presenting findings and advising stakeholders, with collaboration and communication being key across all sectors.

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

To thrive as a Statistician, you need strong quantitative analysis skills, a solid foundation in probability and statistical theory, and typically a master's degree in statistics or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience with data management systems are common technical requirements. Excellent problem-solving abilities, attention to detail, and clear communication skills help statisticians interpret data and explain results to non-experts. These skills are vital for providing accurate analyses that inform decision-making and drive research or business strategies.

What is the difference between Masters In Statistics vs Data Analyst?

AspectMasters In StatisticsData Analyst
Required CredentialsMaster's degree in Statistics or related fieldBachelor's or Master's degree in related fields like Business, Economics, or Computer Science
Work EnvironmentResearch, academia, data science teams in various industriesBusiness, finance, marketing departments, often in corporate settings
Industry UsageUsed in research, academia, specialized data science rolesApplied in business decision-making, reporting, and operational analysis

Masters In Statistics and Data Analyst roles share overlapping skills in data handling and analysis. However, a Masters In Statistics typically involves advanced statistical theory and research, preparing individuals for specialized or academic roles. Data Analysts focus on applying data skills to solve business problems, often with less emphasis on theoretical research. Both roles are vital in data-driven industries, but their focus and career paths differ.

What are popular job titles related to Masters In Statistics jobs in Berkeley, CA?

For Masters In Statistics jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Masters In Statistics jobs in Berkeley, CA look for?

The top searched job categories for Masters In Statistics jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Masters In Statistics jobs?

Cities near Berkeley, CA with the most Masters In Statistics job openings:

Masters In Statistics jobs near you
Infographic showing various Masters In Statistics job openings in Berkeley, CA as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $102,432 per year, or $49.2 per hour.

Sr. Engineer, Machine Learning

Poshmark, Inc

Redwood City, CA • On-site

$151K - $214K/yr

Full-time

Re-posted 8 days ago

Job description

About Poshmark
Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.
The Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitization to name a few).
Responsibilities:
  • Manage the entire ML lifecycle from data collection to deployment and monitoring
  • Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML models
  • Write and optimize code for production environments, ensuring the robustness and reliability of ML services at scale
  • Manage and support current solutions while evolving them to incorporate newer technologies
  • Strong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple manner
  • Stay updated with the latest developments in data science and machine learning

Desired Skills & Experience:
  • 4+ years of experience applying Machine Learning to concrete problems at large scale
  • Bachelors or Masters in Computer Science, Statistics, or related field
  • Strong CS fundamentals. Should be able to write algorithms with ease.
  • Solid understanding of Data Science and ML fundamentals - Regression, Classification, Tree-based approach, Neural network, and sequence-based models.
  • Working experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
  • Should have excellent understanding of ML lifecycle
  • Good understanding of system architecture. Have knowledge of big data technologies - streaming architecture, data pipelines, etc.
  • Experience with Python, SQL, Java or Scala
Good to Have:
  • Big data systems - Spark, EMR, S3, AirFlow
  • Production experience with LLMs and prompt engineering
  • Experience with Flask, FastAPI, RabbitMQ, Embeddings and Vector DBs

Our Techstack:
  • Pytorch, Tensorflow, Sklearn
  • Flask, Fastapi, Gunicorn, Quarkus
  • MLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, Datadog
  • Docker, Kubernetes, Jenkins
  • Redis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, Milvus

Apply