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Bayesian Modeling Jobs in Pflugerville, TX (NOW HIRING)

Apple

Data Center - MLB Reliability Engineer

Austin, TX

$101K - $127K/yr

Develop advanced reliability models such as Reliability Block Diagrams (RBDs), Markov Chains, and Bayesian analysis to quantify board-level risk and its contribution to overall system availability.

Apple

Data Scientist, AI/ML Model Quality

Austin, TX · On-site

As a Data Scientist, AI/ML Model Quality, you will build and maintain intelligent systems ... Experience with Bayesian or causal graph-based approaches to synthetic data generation. Familiarity ...

Apple

Data Scientist, AI/ML Model Quality

Austin, TX · On-site

As a Data Scientist, AI/ML Model Quality, you will build and maintain intelligent systems ... Experience with Bayesian or causal graph-based approaches to synthetic data generation. Familiarity ...

Apple

Data Scientist, AI/ML Model Quality

Austin, TX · On-site

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

As a Data Scientist, AI/ML Model Quality, you will build and maintain intelligent systems ... Experience with Bayesian or causal graph-based approaches to synthetic data generation. Familiarity ...

Apple

Data Scientist, AI/ML Model Quality

Austin, TX · On-site

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

As a Data Scientist, AI/ML Model Quality, you will build and maintain intelligent systems ... Experience with Bayesian or causal graph-based approaches to synthetic data generation. Familiarity ...

Apple

Data Scientist, AI/ML Model Quality

Austin, TX · On-site

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

As a Data Scientist, AI/ML Model Quality, you will build and maintain intelligent systems ... Experience with Bayesian or causal graph-based approaches to synthetic data generation. Familiarity ...

Apple

Data Scientist, AI/ML Model Quality

Austin, TX

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

As a Data Scientist, AI/ML Model Quality, you will build and maintain intelligent systems ... Experience with Bayesian or causal graph-based approaches to synthetic data generation. Familiarity ...

Apple

Data Scientist, AI/ML Model Quality

Austin, TX

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

As a Data Scientist, AI/ML Model Quality, you will build and maintain intelligent systems ... Experience with Bayesian or causal graph-based approaches to synthetic data generation. Familiarity ...

Apple

Data Scientist, AI/ML Model Quality

Austin, TX

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

As a Data Scientist, AI/ML Model Quality, you will build and maintain intelligent systems ... Experience with Bayesian or causal graph-based approaches to synthetic data generation. Familiarity ...

Apple

Demographic Data Scientist

Austin, TX · On-site

... modeling, inference, weighting, and simulation techniques (e.g. Monte Carlo methods) to understand and estimate variation and uncertainty. Experience with statistical methods such as Bayesian methods ...

Apple

Data Center - MLB Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

Experience applying reliability modeling (Markov, RBD, Bayesian) and RAS metrics to Data Center architectures. Proficiency with reliability software (e.g., Weibull++, BlockSim, JMP, Minitab) and ...

Lawrence Harvey

Senior Machine Learning Engineer

Austin, TX · On-site

$210K - $260K/yr

Bayesian machine learning * Multi-task learning * Meta-learning * Ranking, prediction or optimisation models * At least 3 years of experience building end-to-end machine learning systems, including ...

Apple

Demographic Data Scientist

Austin, TX

... modeling, inference, weighting, and simulation techniques (e.g. Monte Carlo methods) to understand and estimate variation and uncertainty. Experience with statistical methods such as Bayesian methods ...

Roku

Senior Machine Learning Engineer

Austin, TX

$121K - $160K/yr

Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis ...

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Bayesian Modeling information

See Pflugerville, TX salary details

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How much do bayesian modeling jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for bayesian modeling in Pflugerville, TX is $55.23, according to ZipRecruiter salary data. Most workers in this role earn between $49.52 and $64.23 per hour, depending on experience, location, and employer.

What is the difference between Bayesian Modeling vs Data Scientist?

AspectBayesian ModelingData Scientist
Required CredentialsStatistics, Mathematics, Data AnalysisStatistics, Computer Science, Data Analysis
Work EnvironmentResearch-focused, statistical modelingCross-functional, data analysis, visualization
Industry UsageResearch, academia, specialized analyticsBusiness, tech, finance, healthcare
Common Search/ComparisonYesYes

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 Pflugerville, TX?

For Bayesian Modeling jobs in Pflugerville, TX, the most frequently searched job titles are:

What job categories do people searching Bayesian Modeling jobs in Pflugerville, TX look for?

The top searched job categories for Bayesian Modeling jobs in Pflugerville, TX are:

Bayesian Modeling jobs near you

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • Remote

Full-time

Re-posted 28 days ago

Job description

(Fully-remote US position)
About LiftLab

Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.

Job responsibilities

  • Develop new algorithm-based features of LiftLab's marketing measurement and optimization platform

  • Performs diagnostics and root-cause analysis and provide fixes

  • Works with Data Science and Engineering to implement these features into LiftLabs product and workflow

Course work/experience:

  • Data manipulation

    • SQL

    • Operating on big datasets in Python

    • Data visualization

  • Mathematical optimization

    • Linear optimization concepts

    • Nonlinear continuous optimization

    • Linear algebra

  • Mathematical modeling

    • Using parametrized systems of equations to represent real-world systems

  • Statistics

    • Multivariate regression

    • Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters

    • Bayesian concepts

    • Hypotheses testing

Education requirements

Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience

Skills/Aptitude

  • Engineering and detective mindset

    • Both to diagnose data and existing algorithms and to develop new analytics functionality

  • Pragmatic approach to real-world problems

  • Focus on problem solving over applying specific models

  • Willingness to make approximations and assumptions rather than find "the" optimal solution

  • Ability to combine multiple techniques and models to solve end-to end-problems

  • Communication and collaboration skill

  • Ability to convert non-technical requests into project specifications

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