... in financial markets, economics, current events, statistical analysis, and programming. Build and ... Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management ...
... in financial markets, economics, current events, statistical analysis, and programming. Build and ... Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management ...
... in financial markets, economics, current events, statistical analysis, and programming. Build and ... Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management ...
... in financial markets, economics, current events, statistical analysis, and programming. Build and ... Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management ...
... in financial markets, economics, current events, statistical analysis, and programming. Build and ... Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management ...
... in financial markets, economics, current events, statistical analysis, and programming. Build and ... Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management ...
Machine Learning Engineer
Plano, TX · On-site
Required : • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics ... Bayesian Networks, Clustering Algorithms, Dimensionality Reduction Techniques. • Experience ...
New
Machine Learning Engineer
Plano, TX · On-site
Required : • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics ... Bayesian Networks, Clustering Algorithms, Dimensionality Reduction Techniques. • Experience ...
New
Data Scientist
Irving, TX · Hybrid
Bachelor's Degree in Statistics, Mathematics, Engineering or a closely related field; Master ... Bayesian Data Analysis, Classification, Clustering, Regression, Collaborative Filtering, and Graph ...
Data Scientist
Irving, TX · Hybrid
Bachelor's Degree in Statistics, Mathematics, Engineering or a closely related field; Master ... Bayesian Data Analysis, Classification, Clustering, Regression, Collaborative Filtering, and Graph ...
Data Scientist
Irving, TX · Hybrid
Bachelor's Degree in Statistics, Mathematics, Engineering or a closely related field; Master ... Bayesian Data Analysis, Classification, Clustering, Regression, Collaborative Filtering, and Graph ...
Data Scientist
Irving, TX · Hybrid
Bachelor's Degree in Statistics, Mathematics, Engineering or a closely related field; Master ... Bayesian Data Analysis, Classification, Clustering, Regression, Collaborative Filtering, and Graph ...
... AI, and statistical physics. The Center also houses one of the leading national hubs in ... D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational ...
... AI, and statistical physics. The Center also houses one of the leading national hubs in ... D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational ...
... AI, and statistical physics. The Center also houses one of the leading national hubs in ... D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational ...
... AI, and statistical physics. The Center also houses one of the leading national hubs in ... D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational ...
... AI, and statistical physics. The Center also houses one of the leading national hubs in ... D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational ...
... AI, and statistical physics. The Center also houses one of the leading national hubs in ... D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational ...
... AI, and statistical physics. The Center also houses one of the leading national hubs in ... D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational ...
... AI, and statistical physics. The Center also houses one of the leading national hubs in ... D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational ...
... AI, and statistical physics. The Center also houses one of the leading national hubs in ... D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational ...
... AI, and statistical physics. The Center also houses one of the leading national hubs in ... D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational ...
... AI, and statistical physics. The Center also houses one of the leading national hubs in ... D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational ...
... AI, and statistical physics. The Center also houses one of the leading national hubs in ... D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational ...
Senior Analyst, Data Science
$169K - $222K/yr
... statistical techniques, including difference-in-differences and regression analysis, while ... What you'll do 1. Bayesian Machine Learning Models AND Deep learning models to define various ...
Senior Analyst, Data Science
$169K - $222K/yr
... statistical techniques, including difference-in-differences and regression analysis, while ... What you'll do 1. Bayesian Machine Learning Models AND Deep learning models to define various ...
Research Associate - Mathematical Sciences
Richardson, TX · On-site
$55K - $57K/yr
... postdoctoral Research Associate position in statistics is available in the Department of Mathematical Sciences at the University of Texas at Dallas. Dr. Jiayi Wang is seeking highly motivated ...
Research Associate - Mathematical Sciences
Richardson, TX · On-site
$55K - $57K/yr
... postdoctoral Research Associate position in statistics is available in the Department of Mathematical Sciences at the University of Texas at Dallas. Dr. Jiayi Wang is seeking highly motivated ...
Research Scientist - DILLON / DENISCO Lab
Richardson, TX · On-site
$62K/yr
... postdoctoral scholar to work on collaborative projects on improving antibiotic outcomes in urinary ... statistical models, and analytical biochemistry. This position will be co-mentored by two TT ...
Research Scientist - DILLON / DENISCO Lab
Richardson, TX · On-site
$62K/yr
... postdoctoral scholar to work on collaborative projects on improving antibiotic outcomes in urinary ... statistical models, and analytical biochemistry. This position will be co-mentored by two TT ...
... funded postdoctoral position in the laboratory of Dr. Michael Rugg. ( Minimum Education and ... and statistical skills, are required. Essential Duties and Responsibilities Plan, conduct and ...
... funded postdoctoral position in the laboratory of Dr. Michael Rugg. ( Minimum Education and ... and statistical skills, are required. Essential Duties and Responsibilities Plan, conduct and ...
Required : • PhD in Data Science, Bioinformatics, Computational Biology, Genomics, Statistics ... postdoc / industry role). • Hands-on experience with molecular sequencing data (e.g., WGS, WES ...
Required : • PhD in Data Science, Bioinformatics, Computational Biology, Genomics, Statistics ... postdoc / industry role). • Hands-on experience with molecular sequencing data (e.g., WGS, WES ...
... in the world. Nearly 4200 medical, graduate and allied health students, residents and postdoctoral ... statistical, and grant support. The division itself has nearly $10 million dollars in extramural ...
... in the world. Nearly 4200 medical, graduate and allied health students, residents and postdoctoral ... statistical, and grant support. The division itself has nearly $10 million dollars in extramural ...
Lead Marketing Data Scientist
Dallas, TX · On-site
Bayesian (e.g., Robyn, Meridian, LightweightMMM, PyMC) or frequentist in production environments ... D. in Statistics, Econometrics, Data Science, or related quantitative field. * Experience in ...
Quick apply
Apply Early
Lead Marketing Data Scientist
Dallas, TX · On-site
Bayesian (e.g., Robyn, Meridian, LightweightMMM, PyMC) or frequentist in production environments ... D. in Statistics, Econometrics, Data Science, or related quantitative field. * Experience in ...
Apply Early
Lead Marketing Data Scientist
Dallas, TX · On-site
Bayesian (e.g., Robyn, Meridian, LightweightMMM, PyMC) or frequentist in production environments ... D. in Statistics, Econometrics, Data Science, or related quantitative field. * Experience in ...
Lead Marketing Data Scientist
Dallas, TX · On-site
Bayesian (e.g., Robyn, Meridian, LightweightMMM, PyMC) or frequentist in production environments ... D. in Statistics, Econometrics, Data Science, or related quantitative field. * Experience in ...
Postdoctoral In Bayesian Statistics information
See Dallas, TX salary details
$24.7K - $30K
2% of jobs
$30K - $35.3K
3% of jobs
$35.3K - $40.5K
3% of jobs
$40.5K - $45.8K
11% of jobs
$47.6K is the 25th percentile. Wages below this are outliers.
$45.8K - $51K
16% of jobs
$51K - $56.3K
13% of jobs
The median wage is $56.8K / yr.
$56.3K - $61.6K
17% of jobs
$64.4K is the 75th percentile. Wages above this are outliers.
$61.6K - $66.8K
17% of jobs
$66.8K - $72.1K
13% of jobs
$72.1K - $77.3K
3% of jobs
$77.3K - $82.6K
1% of jobs
$24.7K
$58.4K
$82.6K
How much do postdoctoral in bayesian statistics jobs pay per year?
As of Jul 4, 2026, the average yearly pay for postdoctoral in bayesian statistics in Dallas, TX is $58,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $65,800.00 per year, depending on experience, location, and employer.
What is a Postdoctoral position in Bayesian Statistics?
A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.
What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?
Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.
What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?
| Aspect | Postdoctoral In Bayesian Statistics | Postdoctoral In Data Science |
|---|---|---|
| Required Credentials | PhD in Statistics, Mathematics, or related field | PhD in Computer Science, Statistics, or related field |
| Work Environment | Academic research, university labs | Research institutions, tech companies, industry labs |
| Employer & Industry Usage | Universities, research institutes | Tech firms, finance, healthcare, consulting |
| Common Search & Comparison Intent | Specialized research roles in Bayesian methods | Broader data analysis and machine learning roles |
Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.
What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Statistics, and why are they important?
To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.
What are popular job titles related to Postdoctoral In Bayesian Statistics jobs in Dallas, TX? For Postdoctoral In Bayesian Statistics jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Dallas, TX look for? The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Postdoctoral In Bayesian Statistics jobs? Cities near Dallas, TX with the most Postdoctoral In Bayesian Statistics job openings:
Engineering - Dallas - Associate, Quantitative Engineering - 033664
Dallas, TX • On-site
Other
Posted 7 days ago
Goldman Sachs rating
8.2
Based on 26 frontline employees who took The Breakroom Quiz
39th of 144 rated banks
Job description
Job Duties: Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in Dallas, Texas. Multiple positions available. Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.
Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research or related quantitative field and one (1) year of experience in job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research or related quantitative field and two (2) years of experience in job offered or a related quantitative engineering role. Prior experience must include one (1) year of experience (with a Master's degree) OR two (2) years of experience (with a Bachelor's degree) with 5 of the 7 following skills: C++, Java, or Python; developing probability and pricing models utilizing financial mathematics principles, including stochastic calculus, no-arbitrage pricing theory, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management or scenario-based analysis; developing quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; and statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance.
The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
What Goldman Sachs employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Goldman Sachs
Sourced by ZipRecruiter
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.
Industry
Finance and insurance
Company size
10,000+ Employees
Headquarters location
New York, NY, US
Year founded
1869