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

Were looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Masters degree or PHD in Statistics, Mathematics, Computer Science or another ...

Masters In Statistics information

See Salinas, CA salary details

$43.5K

$89.9K

$125.7K

How much do masters in statistics jobs pay per year?

As of Aug 14, 2026, the average yearly pay for masters in statistics in Salinas, CA is $89,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $124,600.00 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 cities near Salinas, CA are hiring for Masters In Statistics jobs?

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

Infographic showing various Masters In Statistics job openings in Salinas, 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 $89,881 per year, or $43.2 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Job description

Market America is seeking a Data Scientist supporting our product, engineering, leadership and marketing teams with insights gained from analyzing company data.

In this role you will be adept at using large data sets to find opportunities for product and process optimization. You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Have a proven ability to drive business results with your data-based insights. You should be comfortable working with a wide range of stakeholders and functional teams. The ideal candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

What are the day to day responsibilities?

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

What skills will you need to be successful in this role?

  • Strong problem-solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.

Additional Requirements for the role?

  • Were looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Masters degree or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
    • Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
    • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
    • Experience analyzing data from 3rd party providers: Google Analytics, Adobe Analytics
    • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark
    • Experience visualizing/presenting data

We are proud to be an equal opportunity employer and we offer competitive salaries and benefits, including health, dental, vision, life, short and long-term disability insurance, and a 401(k) retirement plan with company match.