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Mid Level Bayesian Statistics Jobs in Utah (NOW HIRING)

KēSTA I.T.

Data Scientist

Lehi, UT

$120K - $145K/yr

KēSTA I.T. is actively seeking multiple mid-level Data Scientists for immediate full-time ... Solid understanding of statistical analysis and machine learning techniques, including ...

WSP

Senior Electrical Engineer

South Jordan, UT

$102K - $132.90K/yr

Project management experience with small to mid-level projects including tracking hours and ... statistical analysis and arriving at the most effective, economical, and logical solution.

WSP

Experienced Archaeologist

Cottonwood Heights, UT · On-site

... and precise measurements, statistical analysis, and reporting. * Perform professional ... low to mid-level threat mitigation and permitting activities to minimize or negate impacts to ...

WSP

Senior Electrical Engineer

South Jordan, UT · On-site

$102K - $132.90K/yr

Project management experience with small to mid-level projects including tracking hours and ... statistical analysis and arriving at the most effective, economical, and logical solution.

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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.

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Mid Level Bayesian Statistics jobs near you
Statistics Graduate Level Tutor

Statistics Graduate Level Tutor

Varsity Tutors

Cedar City, UT • Remote

$40/hr

Part-time

Posted 25 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Statistics Graduate Level tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Statistics Graduate Level Tutor
  • Advanced Subject Mastery: Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental design, and nonparametric statistics. Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while preparing students for research methodology and doctoral-level statistical analysis.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down likelihood function derivations, posterior distribution calculations, and ANOVA decompositions. Guides students through designing experiments, performing multivariate analysis, constructing confidence regions, and implementing statistical models in software. Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with graduate statistics curricula and common challenges such as understanding measure-theoretic probability foundations, deriving estimator properties, and interpreting complex model outputs. Adapts instruction using R or Python statistical computing, research paper examples, and proof-based exercises to support masters and doctoral students across quantitative disciplines.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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