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

Poshmark

Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$151K - $214K/yr

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 ...

Cogitativo, Inc.

Senior Data Scientist

Berkeley, CA · On-site

$160K - $200K/yr

... Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, Data Mining. • Experience with genomic/genetic data and/or continuous ...

Walmart

Staff, Data Scientist

Hayward, CA

$143K - $286K/yr

PHD or Masters in Computer Science, Statistics or Mathematics with 3+ Years of Industry Experience. * Deep Understanding of Machine Learning and AI : The candidate should possess a robust ...

Walmart

Staff, Data Scientist

Fremont, CA · On-site

$143K - $286K/yr

PHD or Masters in Computer Science, Statistics or Mathematics with 3+ Years of Industry Experience. * Deep Understanding of Machine Learning and AI : The candidate should possess a robust ...

Walmart

Staff, Data Scientist

San Mateo, CA · On-site

$143K - $286K/yr

PHD or Masters in Computer Science, Statistics or Mathematics with 3+ Years of Industry Experience. * Deep Understanding of Machine Learning and AI : The candidate should possess a robust ...

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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 Jun 16, 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.

Is it worth it to get a master's in statistics?

A master's in statistics can enhance job prospects for roles such as data analyst, statistician, or data scientist by providing advanced skills in statistical methods, programming, and data analysis tools like R or Python. It often leads to higher salaries and more specialized positions, but the value depends on career goals and industry demand.

Are statisticians highly paid?

Statisticians with a master's in statistics often earn higher salaries than those with only a bachelor's degree, with median annual wages typically above the national average for all occupations. Salaries vary based on experience, industry, and location, but advanced skills in data analysis, programming, and statistical software can lead to higher compensation.

Which MA is most in demand?

A Master’s in Statistics is highly in demand across industries such as finance, healthcare, and technology due to the increasing reliance on data analysis and predictive modeling. Skills in programming languages like R and Python, along with knowledge of machine learning, enhance job prospects in this field.

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.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating data analysis tasks and enabling more complex modeling, but it does not replace the need for statistical expertise. Statisticians are essential for designing studies, interpreting results, and ensuring data quality, often using tools like R or Python. Their skills remain valuable in developing, validating, and applying AI models effectively.

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 June 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 100% In-person job distribution, with an average salary of $102,432 per year, or $49.2 per hour.

Director, Decision Science

SalesForce-ad

San Francisco, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
SalesForce is a leading company in delivering trusted data and AI-driven insights. They are seeking a Director of Decision Science to lead a team focused on developing metrics and insights that enhance Salesforce's Customer 360 Apps, ensuring reliable data for decision-making.
Responsibilities:
• Be the enterprise data and analytics thought leader across Salesforce’s C360 Apps, shaping the long-term data strategy and acting as a trusted advisor to senior executives (GM, VP, and SVP levels) across Product, Engineering, and Go-to-Market.
• Lead a high-performing, multi-disciplinary data team (analytics, data engineering, and visualization) with a focus on scalability, innovation, and measurable business impact; establish a culture of excellence, accountability, and continuous improvement.
• Define and drive the strategic vision and multi-quarter roadmap for product analytics, aligning data investments with company priorities and ensuring delivery of high-impact data products, platforms, and insights at scale.
• Operate as a cross-functional executive partner, influencing product and business strategy through data; proactively identify opportunities, shape decision-making frameworks, and drive alignment across complex stakeholder groups.
• Establish best-in-class operating models for analytics delivery, including prioritization frameworks, resource allocation, and execution rigor; ensure consistent, high-quality output across multiple concurrent initiatives.
• Lead the definition of north-star metrics, KPI frameworks, and measurement systems to drive product adoption, customer success, and revenue growth; embed data-driven decision-making across product and business teams.
• Drive organizational impact by translating complex data into clear narratives and actionable insights for executive audiences, influencing company-level strategy and investment decisions.
• Develop and grow a team of specialized ICs; establish clear career paths, succession planning, and leadership development while upskilling teams to leverage modern AI technologies (e.g., LLMs such as Claude, Agentforce) as a core part of their analytical workflow and decision-making practice.
• Champion data as a strategic asset across Salesforce, promoting best practices in AI-driven analytics to unlock new product and business value.
Qualifications:
Required:
• 10+ years overall experience in data science or analytics, including 5+ years leading high-performing teams and matrixed partners.
• AI fluency — ability to apply LLMs, Copilots, and agent-based analytics tools (e.g., Claude, Agentforce) to accelerate insight generation, automate analysis, and embed AI into team workflows
• Hands-on familiarity with Salesforce's core platform and product suite is a plus — including Data Cloud, CRM Analytics, Agentforce, and Customer 360 Apps
• Trusted executive partner to VP, SVP, and EVP leaders, influencing company-wide priorities, framing strategic decisions, and representing the function in executive forums.
• Experience defining data strategy, metric frameworks, governance standards, and scalable analytical solutions, with enough technical depth to guide tradeoffs in scalable analytical system design
• Exceptional communicator who can synthesize ambiguity into clear strategy and translate complex data into compelling narratives for executive audiences
• Demonstrated ability to lead through ambiguity, structure complex problems, and develop innovative, data-driven solutions with measurable business impact.
• Proficient (5+ years) in statistics or machine learning, strong data manipulation, product analytics, and statistical analysis skills, with advanced SQL, R, SAS, or Python experience.
• Inspiring leader with a track record of driving multiple large initiatives concurrently across cross-functional teams (Product, Engineering, Customer Success, Product Marketing and more).
• Strong execution discipline, prioritization skills, and ability to make timely decisions in dynamic environments.
• Ability to build, develop, and retain top talent while scaling an AI-native analytics organization.
Preferred:
• MBA or Master’s in a quantitative field (computer science, economics, statistics, engineering, or equivalent) preferred.
Company:
We bring companies and customers together on the #1 CRM. Sharing the news, events, and innovation you need to change the world for good. Founded in , the company is headquartered in , , with a team of 10001+ employees. The company is currently Late Stage.

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