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Bayesian Modeling Jobs in Pflugerville, TX (NOW HIRING)

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$335K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Evaluate model performance through offline metrics, and monitor deployed models for drift, leading ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$335K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Evaluate model performance through offline metrics, and monitor deployed models for drift, leading ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

Rokt

Staff Applied Scientist - Machine Learning

Austin, TX · Hybrid

$470K - $615K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation * Representation Learning & Embeddings * Model ...

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Evaluate model performance through offline metrics, and monitor deployed models for drift, leading ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

Rokt

Staff Applied Scientist - Machine Learning

Austin, TX · On-site

$470K - $615K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation * Representation Learning & Embeddings * Model ...

Rokt

Staff Applied Scientist - Machine Learning

Austin, TX · On-site

$470K - $615K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation * Representation Learning & Embeddings * Model ...

AtmosphereTV

Senior Data Scientist

Austin, TX · On-site

$130 - $190/hr

  • Vision

  • Retirement

Background in Bayesian inference or probabilistic modeling. * Experience launching data products in coordination with Sales, Marketing, or Client Success. * Exposure to computer vision or NLP.

Atmosphere TV

Senior Data Scientist

Austin, TX · On-site

  • Vision

  • Retirement

Background in Bayesian inference or probabilistic modeling. * Experience launching data products in coordination with Sales, Marketing, or Client Success. * Exposure to computer vision or NLP.

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

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How much do bayesian modeling jobs pay per hour?

As of Aug 14, 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

Senior Machine Learning Engineer

Rokt

Austin, TX • On-site

$335K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Rokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.
We are hiring Senior Machine Learning Engineers
We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionize proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc.
Target total compensation ranges from $335k - $400k, comprised of a fixed annual salary of $210k - $260k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.
Responsibilities
  • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions for smart bidding, lookalike modelling, forecasting, and related ranking and prediction tasks.
  • Build and productionise machine learning models, including model-specific data pipelines, feature engineering within the team's feature store, and integration with the team's orchestration and serving infrastructure.
  • Evaluate model performance through offline metrics, and monitor deployed models for drift, leading retraining or rollback decisions as needed.
  • Contribute to and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects such as load testing, unit testing, and integration testing.
  • Keep track of emerging tech and trends, research the state-of-the-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments

Requirements
  • Willingness to work 4 day in-office, 1 day remote weekly schedule.
  • PhD or Master's in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval (or equivalent experience)
  • Extensive knowledge in and experience with some of the following areas: Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate modelling or conversion rate modelling
  • 3+ years of industry experience building production-grade machine learning systems, spanning model training, tuning, deployment, serving, and monitoring
  • Experience with Kubeflow (or similar), TensorFlow, and a feature store in a production environment is a massive plus
  • Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN

Benefits
  • Equity in a profitable, fast-growing company approaching $1 Billion in revenue.
  • Dollar-for-dollar 401K matching plan (up to 4% of fixed annual remuneration)
  • Fully funded health insurance (Dental, Optical, and Medical)
  • Generous allowances for wellness, technology, mobile, and transit.
  • Daily catered lunch, stocked pantry & fridges
  • Extra leave (bonus annual leave, sabbatical leave etc.)

Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If this sounds like a role you'd enjoy, apply here, and you'll hear from our recruiting team.
Note: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.

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