Data Scientist
Eden, UT · On-site +1
Excellent attention to detail and intellectual honesty about model limitations Preferred * Experience in adtech, digital advertising, or media measurement * Experience with Bayesian methods or ...
Data Scientist
Eden, UT · On-site +1
Excellent attention to detail and intellectual honesty about model limitations Preferred * Experience in adtech, digital advertising, or media measurement * Experience with Bayesian methods or ...
... and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk ...
... and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk ...
... and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk ...
... and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk ...
... and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk ...
... and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk ...
... and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk ...
... and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk ...
Data Scientist
West Valley City, UT · On-site
... modeling, Bayesian and frequentist methods). • Demonstrated ability to take data science projects from development to production. • Skilled analyst who produces regular reporting content for key ...
Data Scientist
West Valley City, UT · On-site
... modeling, Bayesian and frequentist methods). • Demonstrated ability to take data science projects from development to production. • Skilled analyst who produces regular reporting content for key ...
Data Scientist III
West Valley City, UT · On-site
Ability to generate robust statistical analyses (e.g., power analysis, hypothesis testing, experimental design, hierarchical modeling, Bayesian and frequentist methods). * Demonstrated ability to ...
Data Scientist III
West Valley City, UT · On-site
Ability to generate robust statistical analyses (e.g., power analysis, hypothesis testing, experimental design, hierarchical modeling, Bayesian and frequentist methods). * Demonstrated ability to ...
Statistics Graduate Level Tutor
Cedar City, UT · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Cedar City, UT · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Spanish Fork, UT · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Spanish Fork, UT · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Logan, UT · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Logan, UT · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Provo, UT · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Provo, UT · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Proven track record of building and deploying Marketing Mix Models (MMM): Bayesian (e.g., Robyn, Meridian, LightweightMMM, PyMC) or frequentist in production environments. * Hands-on experience ...
Quick apply
Proven track record of building and deploying Marketing Mix Models (MMM): Bayesian (e.g., Robyn, Meridian, LightweightMMM, PyMC) or frequentist in production environments. * Hands-on experience ...
Proven track record of building and deploying Marketing Mix Models (MMM): Bayesian (e.g., Robyn, Meridian, LightweightMMM, PyMC) or frequentist in production environments. * Hands-on experience ...
Proven track record of building and deploying Marketing Mix Models (MMM): Bayesian (e.g., Robyn, Meridian, LightweightMMM, PyMC) or frequentist in production environments. * Hands-on experience ...
Optimize model inference, data processing pipelines, and memory footprints for latency and ... The Scientist's Mind: Solid foundation in statistics (Bayesian/Frequentist), linear algebra ...
Optimize model inference, data processing pipelines, and memory footprints for latency and ... The Scientist's Mind: Solid foundation in statistics (Bayesian/Frequentist), linear algebra ...
Proven track record of building and deploying Marketing Mix Models (MMM): Bayesian (e.g., Robyn, Meridian, LightweightMMM, PyMC) or frequentist in production environments. * Hands-on experience ...
Proven track record of building and deploying Marketing Mix Models (MMM): Bayesian (e.g., Robyn, Meridian, LightweightMMM, PyMC) or frequentist in production environments. * Hands-on experience ...
Optimize model inference, data processing pipelines, and memory footprints for latency and ... The Scientist's Mind: Solid foundation in statistics (Bayesian/Frequentist), linear algebra ...
Optimize model inference, data processing pipelines, and memory footprints for latency and ... The Scientist's Mind: Solid foundation in statistics (Bayesian/Frequentist), linear algebra ...
Postdoctoral Fellow I
Logan, UT · On-site
$42K - $57K/yr
Knowledge about PINs, graphical models such as the dynamic Bayesian networks. Along with the online application, please attach: 1. Resume/CV to be uploaded at the beginning of your application in the ...
Postdoctoral Fellow I
Logan, UT · On-site
$42K - $57K/yr
Knowledge about PINs, graphical models such as the dynamic Bayesian networks. Along with the online application, please attach: 1. Resume/CV to be uploaded at the beginning of your application in the ...
Postdoctoral Fellow I
Logan, UT · On-site
$42K - $57K/yr
Knowledge about PINs, graphical models such as the dynamic Bayesian networks. Required Documents Along with the online application, please attach: 1. Resume/CV to be uploaded at the beginning of your ...
Postdoctoral Fellow I
Logan, UT · On-site
$42K - $57K/yr
Knowledge about PINs, graphical models such as the dynamic Bayesian networks. Required Documents Along with the online application, please attach: 1. Resume/CV to be uploaded at the beginning of your ...
Bayesian Modeling information
What is the difference between Bayesian Modeling vs Data Scientist?
| Aspect | Bayesian Modeling | Data Scientist |
|---|---|---|
| Required Credentials | Statistics, Mathematics, Data Analysis | Statistics, Computer Science, Data Analysis |
| Work Environment | Research-focused, statistical modeling | Cross-functional, data analysis, visualization |
| Industry Usage | Research, academia, specialized analytics | Business, tech, finance, healthcare |
| Common Search/Comparison | Yes | Yes |
Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.
What are the key skills and qualifications needed to thrive as a Bayesian Modeler, and why are they important?
To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.
How does a Bayesian Modeling specialist typically collaborate with cross-functional teams in a workplace setting?
Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.
What is Bayesian modeling?
Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.
What are popular job titles related to Bayesian Modeling jobs in Utah? For Bayesian Modeling jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Bayesian Modeling jobs in Utah look for? The top searched job categories for Bayesian Modeling jobs in Utah are:
What cities in Utah are hiring for Bayesian Modeling jobs? Cities in Utah with the most Bayesian Modeling job openings:
Full-time
Medical, Dental, Vision, PTO
Posted 3 days ago
Job description
Role Overview
The Data Scientist will own the measurement science behind Audiohook\'s performance audio advertising platform. You\'ll design and run incrementality tests, build and maintain marketing mix models, and apply causal analysis to quantify how Audiohook drives outcomes for advertisers. This role combines hands-on modeling with the opportunity to shape how we prove value to customers, sharpen our bidding and optimization systems, and influence product direction. You\'ll collaborate closely with Engineering, Product, Sales, and Customer Success to ensure measurement isn\'t just statistically sound but operationally useful.
Key ResponsibilitiesMarketing Measurement & Causal InferenceDesign and run incrementality experiments (geo, ghost bidding, holdout, PSA) that quantify Audiohook\'s lift for advertisers
Build, maintain, and evolve marketing mix models (MMM) and multi-touch attribution analyses across customer campaigns
Apply causal inference methods — difference-in-differences, synthetic controls, instrumental variables, propensity scoring — to questions that can\'t be answered with RCTs
Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team
Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization decisions
Develop and validate predictive models that improve campaign performance and platform efficiency
Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality
Partner with Sales and Customer Success on measurement studies for priority accounts and renewals
Partner with Product on roadmap inputs grounded in causal evidence, not just descriptive data
Present findings to advertisers, internal teams, and leadership in clear, decision-ready formats
Communicate clearly and proactively in a remote-first environment
Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related quantitative field
3–5 years of applied data science experience with a focus on marketing measurement — incrementality, MMM, attribution, or causal analysis
Hands-on experience designing and analyzing experiments (A/B, geo, holdout) in a marketing or advertising context
Strong fluency in Python (pandas, statsmodels, scikit-learn, PyMC, or similar) and SQL
Solid grounding in statistical inference, regression, and causal methods
Ability to communicate technical results to non-technical audiences — advertisers, sales, leadership
Excellent attention to detail and intellectual honesty about model limitations
Experience in adtech, digital advertising, or media measurement
Experience with Bayesian methods or Bayesian MMM frameworks (e.g., PyMC-Marketing, LightweightMMM, Robyn)
Experience working with large-scale ad event data (impressions, clicks, conversions) and modern data stacks (e.g., Iceberg, Snowflake, BigQuery)
Experience in a startup or high-growth company
Comfort using AI tools to accelerate exploratory analysis, code, and write-ups while maintaining methodological rigor
Fully remote work environment
Competitive salary and equity opportunities
Performance bonuses
Health, dental, and vision benefits
Other benefits such as daily lunch stipend, monthly wifi, cell phone and subscription reimbursement, and annual hardware stipend
Flexible PTO and remote-friendly culture
Bi-annual Corporate Offsites
Opportunity to help shape a function at a rapidly scaling tech company
About Audiohook
Sourced by ZipRecruiter