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

Panasonic

Data Scientist IV

Irvine, CA · On-site

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related quantitative field required. (Masters in related field preferred) * 5+ years equivalent experience in ...

New

Pacificlife

Senior Sales Analyst

Newport Beach, CA · On-site +1

Master's degree in statistics, data science, analytics, or MBA. * Prior experience on a sales desk is strongly preferred. * Experience and / or interest in learning distribution and analytical tools ...

BDO

Tax Senior, Core Tax Services

Costa Mesa, CA · On-site

Bachelor's degree in Accounting, Finance, Economics or Statistics OR Bachelor's degree in other ... Masters in Accountancy or Taxation, preferred Experience : * Two (2) or more years of prior ...

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

Masters In Statistics information

See Orange, CA salary details

$43.3K

$89.4K

$125K

How much do masters in statistics jobs pay per year?

As of Aug 14, 2026, the average yearly pay for masters in statistics in Orange, CA is $89,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,900.00 and $123,900.00 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 Orange, CA are hiring for Masters In Statistics jobs?

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

Masters In Statistics jobs near you
Infographic showing various Masters In Statistics job openings in Orange, CA as of August 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $89,367 per year, or $43 per hour.

Data Scientist IV

Panasonic

Irvine, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Overview
Who We Are:
Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, Wi-Fi, and now Bluetooth headphone connectivity!
How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that's here to stay! With our company's history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry.
If you want to learn more about us, visit us at www.panasonic.aero. And for a full listing of open job opportunities go to https://careers.na.panasonic.com/avionics/jobs
The position:
Leads analysis of complex, high-impact business problems using data from internal and external sources to provide insight to decisions at the leadership level. Works directly with aviation and in-flight entertainment data to identify opportunities specific to that domain. Identifies and interprets trends and patterns in datasets to locate influences. Have strong predictive, statistical modeling skills. Constructs forecasts, recommendations, and strategic/tactical plans based on business data and market knowledge. Creates specifications for reports and analysis based on business needs and required or available data elements. Provide consultation to users and lead cross-functional teams to address business issues. Directly produce datasets and reports for analysis using system reporting tools. Sets direction for modeling approaches and mentors other data scientists on the team.
Responsibilities
What We're looking for:
  • Build, own, and defend predictive, classification, forecasting, and recommendation models using Python identifying emerging trends and business opportunities from customer, operational, and market data, while independently determining the modeling approach and technique for a given problem
  • Partner with Data Engineering on data infrastructure needs, translating modeling and analytics requirements into scalable data sources.
  • Sound knowledge in ETL and Data Warehouse concepts, experience with AWS cloud-based platforms.
  • Employ the established Data Governance model including people, process, and technology to sustain Data Quality for the data objects and implement the necessary operating mechanisms to ensure compliance.
  • Build fault tolerant, self-healing, adaptive and highly accurate data computational and analytic processing applications.
  • Programing Develops and/or uses algorithms and ML prescriptive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
  • Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.
  • Partner with business process experts and owners to build BI and leading indicators of operational benchmarks.
  • Mentor and guide the technical direction of junior data scientists, reviewing modeling approach and code to ensure rigor and consistency across the team
  • Partner with Data Engineering, Product, and Business stakeholders to help define what should be built, shaping the roadmap rather than just executing against it.

KNOWLEDGE/SKILL REQUIREMENTS
  • Strong hands-on Python and SQL skills for data science (pandas, scikit-learn, and similar).
  • Should be strong in AWS suite, experience working with AWS Cloud or similar environments and tools for Data Science, AI and ML
  • Ability to deploy ML models to production environment.
  • Able to take ambiguous data and turn it into a clear business case, and present that case persuasively to both technical and non-technical audiences.
  • Solid grounding in statistics: hypothesis testing, regression, experimental design (A/B testing).
  • Exposure to GenAI/LLM concepts (RAG, vector databases, prompt engineering) is a plus.
  • Strong predictive, statistical modeling skills.
  • Strong ability to communicate both written and verbally to internal and external clients.
  • Ability to work independently with business users and cross functional leaders.
  • Ability to solve for higher ambiguity using data science.
  • Strong ability to create and deliver effective presentations to multiple audiences.
  • Advanced expertise using data analytic software such as R, Python, SQL.
  • Expert knowledge of Microsoft productivity tools: Excel, Word, and Visio and other software is necessary.
  • Ability to work in a collaborative environment and fast paced environment.
  • Knowledge of Extract Transform Load (ETL), Data Architecture preferred.
  • Ability to mentor junior data scientists and colleagues.

Qualifications
EDUCATION/EXPERIENCE REQUIREMENTS
  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related quantitative field required. (Masters in related field preferred)
  • 5+ years equivalent experience in modeling, forecasting, data analytics.
  • 2+ years' experience with AWS (Amazon Web Services) or other cloud platforms.
  • Open-source AI experience preferred.
  • Data Science Certifications Preferred.
  • Certified in AWS Cloud Preferred.
  • Experience in aviation, transportation or IoT/telemetry data domain is a plus

OTHER REQUIREMENTS
May require travel up to 5% of the time to domestic and/or international locations.
The salary range of $142,000 to $238,000 is just one component of Panasonic's total package. The final offer amount may vary based on factors including but not limited to individual's knowledge, skills, experience, and location. In addition, this role may be eligible for discretionary bonuses and incentives. The minimum hourly wage for this role will be the greater of the posted range, or minimum.
Our Principles:
Contribution to Society | Fairness & Honesty | Cooperation & Team Spirit | Untiring Effort for Improvement | Courtesy & Humility | Adaptability | Gratitude
What we offer:
At Panasonic Avionics Corporation we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive and flexible benefits program.
  • We offer flexible-hybrid work opportunities.
  • Paid time off: Exempt Salaried employees receive unlimited PTO. This means that there is no fixed number, range, or limit to the amount of Personal and Vacation Days that may be taken for exempt employees. Non-exempt hourly employees accrue 14 vacation days per year + 7 sick days + 3 personal days. Accrual rate increases with tenure. All employees receive 11 company paid holidays per year plus a paid company-wide shut down in the U.S. between Christmas and New Year.
  • Insurance: Medical insurance offerings from Aetna and Kaiser (CA &HI). Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family. Dental PPO and DMO options & Vision insurance through EyeMed or VSP.
  • 401K with 50% match on up to 8% contribution, full vested from day 1
  • Other offerings include: Wellness Program, Counseling services, FSA & HSA, Life Insurance for employee, spouse and child, AD&D Insurance, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Legal Assistance, Pet Insurance, Identity Theft Protection, Dependent Care FLSA, Education Assistance, Commuter Program, Employee Purchase Program, Service Award Program.

Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Avionics Corporation.
#LI-hybrid
REQ-155406

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