Bayesian Statistician (Data Scientist) Aurora, CO Applications will be accepted on an ongoing basis. ICR has opportunities available for experienced and motivated Data Scientists with a Bayesian ...
Bayesian Statistician (Data Scientist) Aurora, CO Applications will be accepted on an ongoing basis. ICR has opportunities available for experienced and motivated Data Scientists with a Bayesian ...
Lead Bayesian Health's AI/ML organization with a hands-on, scrappy approach: setting technical vision, rolling up your sleeves on critical modeling work, and building a world-class team that ships ...
Lead Bayesian Health's AI/ML organization with a hands-on, scrappy approach: setting technical vision, rolling up your sleeves on critical modeling work, and building a world-class team that ships ...
Infrastructure Engineer
$110K - $144K/yr
Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a ...
Infrastructure Engineer
$110K - $144K/yr
Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a ...
Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a ...
Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a ...
Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a ...
Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a ...
Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a ...
Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a ...
ML Research Scientist - Bayesian Optimization
San Francisco, CA · On-site
$200K - $270K/yr
About the role: We're hiring a Senior / Principal ML Scientist to design and scale Bayesian optimization and reinforcement-learning frameworks that guide molecular engineering campaigns through ...
ML Research Scientist - Bayesian Optimization
San Francisco, CA · On-site
$200K - $270K/yr
About the role: We're hiring a Senior / Principal ML Scientist to design and scale Bayesian optimization and reinforcement-learning frameworks that guide molecular engineering campaigns through ...
Senior Staff Data Scientist - Bayesian Experimentation & Causal Inference
New York, NY · On-site
$249K - $312K/yr
As a Senior Staff Data Scientist, Bayesian Experimentation and Causal Inference , you will be the company-wide owner of how Headway learns from data, especially when the stakes are high and the ...
Senior Staff Data Scientist - Bayesian Experimentation & Causal Inference
New York, NY · On-site
$249K - $312K/yr
As a Senior Staff Data Scientist, Bayesian Experimentation and Causal Inference , you will be the company-wide owner of how Headway learns from data, especially when the stakes are high and the ...
Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a ...
Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a ...
Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a ...
Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a ...
As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating approaches that combine language model reasoning with principled ...
As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating approaches that combine language model reasoning with principled ...
Co-op, LLMs for Decision Making
Cambridge, MA · On-site
As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating approaches that combine language model reasoning with principled ...
Co-op, LLMs for Decision Making
Cambridge, MA · On-site
As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating approaches that combine language model reasoning with principled ...
Recent examples of our work include a Bayesian experimentation engine that powers Product Page Optimization in App Store Analytics, and differential privacy solutions behind the Peer-Group Benchmarks ...
Recent examples of our work include a Bayesian experimentation engine that powers Product Page Optimization in App Store Analytics, and differential privacy solutions behind the Peer-Group Benchmarks ...
Lead the adoption of Bayesian frameworks to maximize data efficiency, specifically designing mechanisms to borrow information from historical trials or external control arms to support study designs ...
Lead the adoption of Bayesian frameworks to maximize data efficiency, specifically designing mechanisms to borrow information from historical trials or external control arms to support study designs ...
(USA) Senior Manager, Data Science
Bella Vista, AR · On-site
$110K - $220K/yr
Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...
(USA) Senior Manager, Data Science
Bella Vista, AR · On-site
$110K - $220K/yr
Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...
(USA) Senior Manager, Data Science
Centerton, AR · On-site
$110K - $220K/yr
Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...
(USA) Senior Manager, Data Science
Centerton, AR · On-site
$110K - $220K/yr
Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...
(USA) Senior Manager, Data Science
Springdale, AR · On-site
$110K - $220K/yr
Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...
(USA) Senior Manager, Data Science
Springdale, AR · On-site
$110K - $220K/yr
Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...
(USA) Senior Manager, Data Science
Noel, MO · On-site
$110K - $220K/yr
Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...
(USA) Senior Manager, Data Science
Noel, MO · On-site
$110K - $220K/yr
Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...
Postdoctoral Fellows
$45K - $61K/yr
The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian computing, statistical modeling, and clinical data analysis methods development. Prior knowledge with ...
Postdoctoral Fellows
$45K - $61K/yr
The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian computing, statistical modeling, and clinical data analysis methods development. Prior knowledge with ...
(USA) Senior Manager, Data Science
Decatur, AR · On-site
$110K - $220K/yr
Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...
(USA) Senior Manager, Data Science
Decatur, AR · On-site
$110K - $220K/yr
Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...
Bayesian information
See salary details
$149.5K - $151.5K
7% of jobs
$151.5K - $153.5K
10% of jobs
$155.2K is the 25th percentile. Wages below this are outliers.
$153.5K - $155.5K
10% of jobs
$155.5K - $157.5K
10% of jobs
$157.5K - $159.5K
10% of jobs
The median wage is $160.3K / yr.
$159.5K - $161.5K
10% of jobs
$161.5K - $163.5K
10% of jobs
$165.3K is the 75th percentile. Wages above this are outliers.
$163.5K - $165.5K
10% of jobs
$165.5K - $167.5K
10% of jobs
$167.5K - $169.5K
10% of jobs
$169.5K - $171.5K
4% of jobs
$149.5K
$160K
$171.5K
How much do bayesian jobs pay per year?
What are the typical projects or challenges faced in a Bayesian-focused role?
In a Bayesian role, you’ll often work on projects involving probabilistic modeling, uncertainty quantification, and predictive analytics for real-world decision-making. Common challenges include structuring prior distributions, ensuring computational efficiency for complex models, and clearly explaining Bayesian results to non-technical stakeholders. You might collaborate closely with data engineers, domain experts, and business analysts to refine models and translate findings into actionable recommendations. This role offers the opportunity to tackle diverse analytical problems across industries like healthcare, finance, or tech, supporting ongoing professional growth and learning.
What is a Bayesian job?
A Bayesian job typically involves applying Bayesian statistics, probabilistic modeling, and inference techniques to analyze data and make decisions under uncertainty. Professionals in this field use Bayes' theorem to update beliefs based on new evidence, often working in areas like machine learning, finance, healthcare, and research. Common roles include Bayesian statisticians, data scientists, and researchers who build probabilistic models to improve predictions and decision-making.
What are the key skills and qualifications needed to thrive in the Bayesian position, and why are they important?
To thrive as a Bayesian (typically a Bayesian Data Scientist or Statistician), you need a strong background in probability theory, statistical modeling, and mathematics, often with an advanced degree in statistics, data science, or a related quantitative field. Experience with programming languages such as Python or R, Bayesian analysis libraries (e.g., Stan, PyMC), and familiarity with statistical software are commonly required. Analytical thinking, collaborative teamwork, and the ability to communicate complex results clearly are valuable soft skills in this role. These abilities are essential for designing robust models, interpreting data accurately, and delivering actionable insights to interdisciplinary teams.
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$78K - $236K/yr
Full-time
Medical, Retirement, PTO
Posted 29 days ago
Key responsibilities
Work independently on complex technical tasks involving in-depth data analysis methodologies and data collection.
Develop, implement, validate, document, and present findings of specialized analysis software tools and models as required.
Participate as a member of a multidisciplinary team to analyze and satisfy customer requirements.
Job description
Aurora, CO
ICR has opportunities available for experienced and motivated Data Scientists with a Bayesian statistics background.
Essential Job Responsibilities
This Data Scientist will be expected to:
- Work independently on complex technical tasks that require in-depth data analysis methodologies and data/information collection
- Develop unique technical solutions for applications in the intelligence field
- Participate as a member of a multidisciplinary team to analyze and satisfy customer requirements
- Develop, implement, validate, document, and present findings of specialized analysis software tools and models as required
- Effectively handle concurrent technical tasks with conflicting priorities
- Approach difficult problems with enthusiasm and creativity
- Have the ability to change focus when necessary
- Travel (up to 10%)
Required Skills and Qualifications
- Active Top Secret Security Clearance with SSBI and SCI eligibility.
- Experience with Bayesian statistics and time series analysis
- Masters Degree in statistics with a minimum of Two (2) years of professional experience or PhD in statistics or related field
- Experience with computational analysis tools and developing software with at least one of the following programing language: Python (preferred), R, C++, MATLAB
- Experience with developing and applying advanced statistical/machine learning models and algorithms for one or more of the following: classification, clustering, anomaly detection, density estimation, data mining, pattern recognition, knowledge discovery
- Experience with extracting and processing structured/unstructured data from various sources (e.g. databases, text files, web) and preparing data for analysis
- Collaborate with others in a multidisciplinary team environment to accomplish research goals
- Ability to work effectively in small-team settings to solve complex problems
- Ability and desire to obtain substantial domain knowledge in fields of application and ability to communicate effectively with subject matter experts
- Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information to customers
Desired Qualifications
- Experience with the intelligence community
- Broad knowledge of statistical analysis, ML methods, and problem-solving skills
- Experience with: spatial statistics, multivariate statistics, Gaussian Process, Random Forest, Support Vector Machine, Natural Language Processing, Neural Networks
- Proficient with Python, Jupyter, Markdown
- Experience working with databases such as SQL and/or ELK stack
- Experience with creating data visualizations / dashboards