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$158.1K

$288.6K

$354.4K

How much do probabilistic programming bayesian jobs pay per year?

As of Jun 6, 2026, the average yearly pay for probabilistic programming bayesian in Chicago, IL is $288,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $268,400.00 and $332,200.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by professionals working in Probabilistic Programming with a Bayesian focus, and how can they be addressed?

Professionals working in Probabilistic Programming with a Bayesian focus often encounter challenges related to model complexity, computational efficiency, and communicating results to non-technical stakeholders. Building accurate Bayesian models requires careful selection of priors and an understanding of underlying data distributions, which can be demanding without robust domain expertise. Additionally, computational demands can be high, especially for large datasets or complex hierarchical models, making efficient sampling and approximation methods essential. Collaborating closely with domain experts and leveraging modern probabilistic programming frameworks can help address these challenges and ensure practical, interpretable results.

What is probabilistic programming in the context of Bayesian statistics?

Probabilistic programming in the context of Bayesian statistics refers to writing computer programs that use probability distributions and Bayesian inference to model uncertainty and learn from data. These programs allow users to define complex probabilistic models using code, making it easier to specify, fit, and analyze Bayesian models. Probabilistic programming languages, such as Stan, PyMC, or Edward, provide tools to automate inference, enabling practitioners to focus on modeling rather than mathematical derivations. This approach is widely used in fields like machine learning, data science, and scientific research to handle uncertainty and make predictions.

What is the difference between Probabilistic Programming Bayesian vs Data Scientist?

AspectProbabilistic Programming BayesianData Scientist
Required credentialsBackground in statistics, probability, programmingStatistics, computer science, or related degree
Work environmentResearch, modeling, algorithm developmentData analysis, visualization, business insights
Industry usageAI, machine learning, research projectsBusiness, finance, tech, healthcare

Probabilistic Programming Bayesian focuses on developing models using Bayesian methods and probabilistic programming languages, often in research or AI development. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require statistical knowledge, Bayesian programmers specialize in probabilistic modeling, whereas Data Scientists apply a broader set of data analysis techniques.

What are the key skills and qualifications needed to thrive as a Probabilistic Programming Bayesian specialist, and why are they important?

To thrive as a Probabilistic Programming Bayesian specialist, you need a strong background in statistics, probability theory, and Bayesian inference, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with probabilistic programming languages (such as Stan, PyMC, or TensorFlow Probability) and familiarity with statistical modeling software are also essential. Analytical thinking, problem-solving, and effective communication skills help translate complex models into actionable insights and collaborate with interdisciplinary teams. These skills and qualities are crucial for developing robust, interpretable models that inform decision-making in research and industry applications.
What are popular job titles related to Probabilistic Programming Bayesian jobs in Chicago, IL? For Probabilistic Programming Bayesian jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Probabilistic Programming Bayesian jobs in Chicago, IL look for? The top searched job categories for Probabilistic Programming Bayesian jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Probabilistic Programming Bayesian jobs? Cities near Chicago, IL with the most Probabilistic Programming Bayesian job openings:
Probabilistic Programming Bayesian jobs near you
Data Scientist - Machine Learning

Data Scientist - Machine Learning

United Airlines, Inc.

Chicago, IL • On-site

Full-time

Posted 18 days ago

United Airlines rating

7.8

Company rating: 7.8 out of 10

Based on 331 frontline employees who took The Breakroom Quiz

9th of 26 rated airlines

Job description

Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities:
Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions
  • Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using machine learning, statistical, and structured programming languages
  • Identifies, researches, or solves large complex problems using big data and machine learning principles
  • Leverages understanding of the business process to identify and implement predictive and prescriptive solutions that will result in significant bottom-line contributions
  • Builds and develops machine learning model applications, and provides client support leveraging machine learning knowledge
  • Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups
  • Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available
  • Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for)
  • Anticipates working team questions to data and approach
  • Identifies solution quality risks and on-time risks
  • Understands the business value, process, and expectations before focusing on choice of a technical solution
  • Understands the intuition behind the numbers (i.e. does it make sense?)
  • Provides on-going analytical services to client organizations
  • Communicates results to management and clients
  • Contributes deck content and builds the story for the deck with guidance to summarize findings
  • Develops and delivers presentations aligned with Analytics & Innovation team standards
  • Speaks in a manner appropriate for working team and their level +1
  • Keeps informed about the latest analytical methods and research in machine learning, data science, and other analytics fields
  • Research and socialize tools and techniques in data science, ensuring best practices are applied at United

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Master's degree in quantitative field (machine learning, data science, statistics, engineering, etc.)
  • Coursework or work experience with mathematical programming techniques
  • Coursework or work experience implementing supervised machine learning to real-world tabular data use cases
  • Hands-on experience with ML and statistical modeling in applied projects
  • Strong Python software engineering skills with a focus on object-oriented programming and GitHub usage
  • Proficiency in SQL for analytical tasks and data manipulation
  • Ability to identify high-value opportunities and efficiently apply data science techniques to drive business impact
  • Strong ownership mindset, with the ability to work independently and collaborate across teams, including with SMEs and stakeholders, without direct supervision
  • Demonstrated intellectual curiosity, with a proactive approach to solving complex problems and a willingness to navigate ambiguity
  • Excellent oral and written communication skills, with the ability to clearly explain algorithms, modeling techniques, and data-driven insights to diverse audiences
  • Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment
  • Good interpersonal skills and ability to interact with clients
  • Proficient with MS Office
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualifications
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Supervised computer vision (object detection) & NLP
  • Signal processing & machine learning applied to sensor data
  • Causal ML (DML, DR, etc.)
  • Probabilistic programming (Pyro, PyMC, Stan, etc.) and Bayesian modeling
  • AWS cloud stack experience
  • PySpark
  • Docker
  • Generative AI
  • Demonstrated ability to create business value

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

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