Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making. * Utilize Markov chains and stochastic processes for modeling sequential or ...
Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making. * Utilize Markov chains and stochastic processes for modeling sequential or ...
Synthesize multiple, low-fidelity 3rd-party signals into a single high-fidelity trend report using Bayesian aggregation or other methods * Data transformation: Apply quasi-experimental designs (e.g ...
Synthesize multiple, low-fidelity 3rd-party signals into a single high-fidelity trend report using Bayesian aggregation or other methods * Data transformation: Apply quasi-experimental designs (e.g ...
Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Sr. Analyst, Product Analytics
San Mateo, CA · On-site +1
$175K - $248K/yr
... Bayesian experimentation; designing multi-dimensional test structures and interpreting results across user segments; mitigating validity threats including SRM, contamination, and multi-exposure ...
Sr. Analyst, Product Analytics
San Mateo, CA · On-site +1
$175K - $248K/yr
... Bayesian experimentation; designing multi-dimensional test structures and interpreting results across user segments; mitigating validity threats including SRM, contamination, and multi-exposure ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Principal AI Scientist - AI Foundation
$273K - $369K/yr
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Principal AI Scientist - AI Foundation
$273K - $369K/yr
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Senior Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Senior Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Principal AI Scientist - AI Foundation
Mountain View, CA · On-site
$273K - $369K/yr
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Principal AI Scientist - AI Foundation
Mountain View, CA · On-site
$273K - $369K/yr
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
... and Bayesian Optimization to solve pricing and optimization challenges AI Agents for Pricing Build AIdriven pricing agents that incorporate consumer behaviour demand elasticity and competitive ...
... and Bayesian Optimization to solve pricing and optimization challenges AI Agents for Pricing Build AIdriven pricing agents that incorporate consumer behaviour demand elasticity and competitive ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
The primary focus will be to develop novel methods for causal AI/inference methods, adaptive Bayesian clinical trial designs, derive related statistical theory, produce software for implementation ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
The primary focus will be to develop novel methods for causal AI/inference methods, adaptive Bayesian clinical trial designs, derive related statistical theory, produce software for implementation ...
Staff AI Scientist
$209K - $283K/yr
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
$209K - $283K/yr
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Principal AI Scientist - AI Foundation
Mountain View, CA · On-site
$273K - $369K/yr
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Principal AI Scientist - AI Foundation
Mountain View, CA · On-site
$273K - $369K/yr
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
Mountain View, CA · On-site
$209K - $283K/yr
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
Mountain View, CA · On-site
$209K - $283K/yr
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Postdoctoral Fellow - Biostatistics
Houston, TX · On-site
$64K - $76K/yr
The primary focus will be to develop novel methods for causal AI/inference methods, adaptive Bayesian clinical trial designs, derive related statistical theory, produce software for implementation ...
Postdoctoral Fellow - Biostatistics
Houston, TX · On-site
$64K - $76K/yr
The primary focus will be to develop novel methods for causal AI/inference methods, adaptive Bayesian clinical trial designs, derive related statistical theory, produce software for implementation ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
The primary focus will be to develop novel methods for causal AI/inference methods, adaptive Bayesian clinical trial designs, derive related statistical theory, produce software for implementation ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
The primary focus will be to develop novel methods for causal AI/inference methods, adaptive Bayesian clinical trial designs, derive related statistical theory, produce software for implementation ...
Proficient in Bayesian estimation concepts and Kalman filtering Proficient in statistics concepts and statistical data analysis Proficient in C++ Familiar with modern object-oriented programming ...
Proficient in Bayesian estimation concepts and Kalman filtering Proficient in statistics concepts and statistical data analysis Proficient in C++ Familiar with modern object-oriented programming ...
Staff AI Scientist
Mountain View, CA · On-site
$209K - $283K/yr
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
Mountain View, CA · On-site
$209K - $283K/yr
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
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?
As of Jul 21, 2026, the average yearly pay for bayesian in the United States is $159,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $155,000.00 and $165,000.00 per year, depending on experience, location, and employer.
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 jobs pay 200,000 a year in the USA?
A Bayesian analyst or data scientist with advanced skills in statistical modeling and machine learning can earn around $200,000 annually, especially with experience and in high-demand industries like finance or tech. Senior roles in data science, machine learning engineering, and quantitative analysis often reach or exceed this salary level. Certifications in data analysis and proficiency with tools like Python, R, or SQL can enhance earning potential.
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 jobs make $1,000,000 a year?
In the field of Bayesian analysis, high-earning roles such as senior data scientists, quantitative researchers, or chief data officers can reach or exceed $1,000,000 annually, especially in finance, technology, or consulting firms. These positions typically require advanced statistical skills, extensive experience, and often involve leadership responsibilities or equity compensation.
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.
What does it mean to be Bayesian?
A Bayesian is a professional who applies Bayesian methods, which involve updating probabilities based on new data, often using statistical software and programming skills. They work in fields like data analysis, machine learning, or research, emphasizing probabilistic reasoning and statistical inference.
What jobs pay $500,000 a year in the US?
High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs. These positions typically require advanced education, extensive experience, and often involve high levels of responsibility, performance-based bonuses, or profit sharing. In some cases, highly skilled professionals in technology, law, or finance can also achieve this level of compensation.
More about Bayesian jobs
What cities are hiring for Bayesian jobs? Cities with the most Bayesian job openings:
What are the most commonly searched types of Bayesian jobs? The most popular types of Bayesian jobs are:
What states have the most Bayesian jobs? States with the most job openings for Bayesian jobs include:
What job categories do people searching Bayesian jobs look for? The top searched job categories for Bayesian jobs are:
Full-time
Re-posted 18 days ago
Job description
Role: Senior Manager
Location: Philadelphia (Hybrid)
Experience: 5+ years
Full Time Role
Role Overview
We are looking for a Senior Manager - Data Science (Econometrics & Time Series) to lead advanced analytical initiatives for a major Telecommunications client.
This role is heavily focused on econometric modeling, time series analysis, and causal inference, with applications in forecasting, pricing, and customer behavior analytics. The ideal candidate brings deep expertise in statistical modeling and is comfortable working with large-scale data environments.
Key Responsibilities
Must-Have Qualifications
Secondary / Good-to-Have Skills (General Data Science)
Location: Philadelphia (Hybrid)
Experience: 5+ years
Full Time Role
Role Overview
We are looking for a Senior Manager - Data Science (Econometrics & Time Series) to lead advanced analytical initiatives for a major Telecommunications client.
This role is heavily focused on econometric modeling, time series analysis, and causal inference, with applications in forecasting, pricing, and customer behavior analytics. The ideal candidate brings deep expertise in statistical modeling and is comfortable working with large-scale data environments.
Key Responsibilities
- Lead development of time series forecasting models (ARIMA, VAR, state-space models, etc.) for business-critical use cases.
- Apply econometric techniques such as WLS, panel data models, and causal inference methods to solve real-world business problems.
- Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making.
- Utilize Markov chains and stochastic processes for modeling sequential or behavioral data.
- Translate business problems into robust analytical frameworks and deliver actionable insights.
- Work with large datasets using Databricks
- Collaborate with stakeholders across business and technical teams to ensure model relevance and impact.
- Mentor junior team members and drive best practices in statistical modeling and experimentation.
Must-Have Qualifications
- Strong foundation in econometrics and time series analysis (this is critical for the role).
- Hands-on experience with:
- Time series models (ARIMA, SARIMA, VAR, forecasting techniques)
- Econometric methods (WLS, regression diagnostics, panel data models)
- Causal inference (A/B testing, quasi-experimental methods)
- Bayesian statistics and probabilistic modeling
- Markov chains or stochastic modeling
- Proficiency in Python along with SQL.
- Experience working with Databricks or similar big data platforms.
- Ability to clearly communicate complex statistical concepts to non-technical stakeholders.
Secondary / Good-to-Have Skills (General Data Science)
- Experience with machine learning models (classification, regression, tree-based models, etc.)
- Familiarity with feature engineering, model validation, and performance tuning
- Exposure to ML pipelines and MLOps concepts
About Lorven technologies
Sourced by ZipRecruiter
Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Plainsboro, NJ, US
Year founded
2001