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Mid Level Bayesian Statistics Jobs in California

Role Overview We are seeking a junior to mid-level Data Analyst (2-7 years' experience) who thrives ... Apply statistical concepts (mean, variance, distributions) to interpret datasets. * Collaborate ...

$127K - $236K/yr

... statistics expertise for various engineering, operations, and business applications. The role ... Have the ability to obtain a US LEVEL security clearance. Basic Qualifications * Bachelor's Degree ...

... statistics expertise for various engineering, operations, and business applications. The role ... Have the ability to obtain a US LEVEL security clearance. Basic Qualifications * Bachelor's Degree ...

This role demands a unique blend of analytical and statistical expertise, strategic thinking , and ... Influence organization-level product direction through data-driven narratives and an in depth ...

This role demands a unique blend of analytical and statistical expertise, strategic thinking , and ... Influence organization-level product direction through data-driven narratives and an in depth ...

This role demands a unique blend of analytical and statistical expertise, strategic thinking , and ... Influence organization-level product direction through data-driven narratives and an in depth ...

Showing results 21-40

Mid Level Bayesian Statistics information

What is the difference between Mid Level Bayesian Statistics vs Data Scientist?

AspectMid Level Bayesian StatisticsData Scientist
Required CredentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or higher in Data Science, Computer Science, or related field
Work EnvironmentResearch-focused, analytical, often in finance, healthcare, or academiaCross-functional teams, data analysis, machine learning, business insights
Industry UsageStatistical modeling, probabilistic analysis, research projectsData analysis, predictive modeling, data visualization

Mid Level Bayesian Statistics specialists focus on advanced probabilistic modeling and statistical inference, often in research or specialized industries. Data Scientists have a broader scope, combining statistical analysis with programming and machine learning to solve business problems. While both roles require strong analytical skills, Bayesian statisticians typically emphasize probabilistic models, whereas Data Scientists integrate multiple techniques for data-driven decision-making.

What are the most commonly searched types of Bayesian Statistics jobs in California? The most popular types of Bayesian Statistics jobs in California are:
What are popular job titles related to Mid Level Bayesian Statistics jobs in California? For Mid Level Bayesian Statistics jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Mid Level Bayesian Statistics jobs? Cities in California with the most Mid Level Bayesian Statistics job openings:

Data Analyst

1 point system

Irvine, CA • On-site

Contractor

Posted 24 days ago


Job description

Role Overview

We are seeking a junior to mid-level Data Analyst (2–7 years’ experience) who thrives on solving puzzles and uncovering the “why” behind the data. This role is focused on analytics and quantitative reasoning, not engineering. The ideal candidate enjoys working with numbers, identifying trends, and providing insights that drive business decisions.

Key Responsibilities

  • Perform data analysis to explain trends, anomalies, and root causes.
  • Write and execute queries to pull data from multiple sources (SQL, Python).
  • Apply statistical concepts (mean, variance, distributions) to interpret datasets.
  • Collaborate with cross-functional teams to deliver actionable insights.
  • Document findings and communicate results clearly to stakeholders.
  • Support ad-hoc reporting and data validation tasks.

Required Skills

  • Strong critical thinking and problem-solving mindset.
  • Hands-on experience with Python and/or SQL (ideally both).
  • Solid understanding of statistics and quantitative analysis.
  • Ability to focus on details and explain the “why” behind data outcomes.
  • Excellent communication skills to translate numbers into insights.

Preferred Profile

  • 2–7 years of professional experience (junior to mid-level).
  • Local to Irvine, CA or Southern California (must be able to collaborate onsite when needed).
  • Passion for puzzles, numbers, and uncovering insights.
  • Experience in healthcare or analytics environments is a plus, but not required.