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Bayesian Phd Jobs (NOW HIRING)

Purple Drive Technologies

Data Scientist

Jersey City, NJ · On-site

Required Qualifications • Masters/PhD in Operations Research, Applied Mathematics, Computer ... Bayesian Optimization and Gaussian Process modeling. • Deep mathematical foundation (numerical ...

1872 Consulting

Senior ML Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

Quantifying predictive uncertainty using probabilistic and Bayesian methods. Creating models that ... Masters or PhD in computer science, or equivalent. * 4+ years of work experience. * Strong ...

WEX, Inc.

PhD Intern - AI/ML/NLP Engineer

$35 - $43/hr

As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world ... Solid grasp of probability and statistics concepts (e.g., distributions, Bayesian inference ...

eNett

OR

$35 - $43/hr

As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world ... Solid grasp of probability and statistics concepts (e.g., distributions, Bayesian inference ...

WEX

OR

$35 - $43/hr

As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world ... Solid grasp of probability and statistics concepts (e.g., distributions, Bayesian inference ...

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN

$42.70K - $58K/yr

The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian ... Completed PhD in biostatistics, statistics, computer science, or a related discipline. Strong ...

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN

$45.30K - $61.50K/yr

The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian ... Completed PhD in biostatistics, statistics, computer science, or a related discipline. Strong ...

406 Labs

Postdoctoral Research Associate

Bozeman, MT · On-site

$60K - $65K/yr

Conduct quantitative analyses of educational datasets using Bayesian hierarchical models and other ... PhD in Physics Education Research, Physics, Mathematics Education, STEM Education, Statistics, or a ...

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Bayesian Phd information

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

To thrive as a Bayesian PhD, you need advanced knowledge of probability theory, statistical inference, and mathematics, typically supported by a doctoral degree in statistics, mathematics, or a related field. Proficiency with statistical programming languages like R, Python, and specialized Bayesian tools such as Stan or BUGS is essential. Strong critical thinking, problem-solving, and clear communication skills help in articulating complex analyses and collaborating across disciplines. These capabilities are crucial for developing rigorous models, conducting impactful research, and translating statistical insights into actionable solutions.

What are some common challenges faced by a Bayesian PhD researcher during collaborative projects?

Bayesian PhD researchers often collaborate with interdisciplinary teams, which can present challenges such as communicating complex statistical concepts to non-specialists and integrating Bayesian methods with other analytical frameworks. Balancing the depth of theoretical work with practical problem-solving, managing computational demands, and aligning project goals with collaborators' expectations are also common hurdles. Successful collaboration typically requires strong communication skills, adaptability, and a willingness to bridge methodological gaps between disciplines.

What is a Bayesian PhD?

A Bayesian PhD typically refers to an individual who has completed a doctoral program with a focus on Bayesian statistics or Bayesian methods in their research. Bayesian statistics is a branch of statistics that uses probability distributions to represent uncertainty about unknowns, updating beliefs as new data becomes available. Students in this field learn to develop and apply Bayesian models to a wide range of problems in science, engineering, and social sciences. A PhD program with a Bayesian focus often involves advanced coursework in probability theory, statistical inference, and computational methods, as well as original research using Bayesian approaches.

What jobs make $3,000 a month without a degree?

Jobs that can pay around $3,000 a month without requiring a degree include roles such as data analyst, freelance writer, or web developer, often relying on skills, certifications, or self-education. Positions in sales, customer service, or certain trades like electrician or HVAC technician may also reach this income level with experience. Success in these roles typically depends on skill proficiency, certifications, or building a client base rather than formal degrees.

What is the difference between Bayesian Phd vs Data Scientist?

AspectBayesian PhdData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, academic or specialized industry rolesBusiness-focused, tech companies, or consulting firms
Industry UsageAcademic research, advanced analytics, specialized modelingData analysis, machine learning, business insights
Common Search/ComparisonYesYes

While a Bayesian PhD specializes in advanced statistical modeling and research, a Data Scientist applies data analysis and machine learning techniques in practical business contexts. Both roles require strong analytical skills, but the Bayesian PhD typically focuses on theoretical development, whereas the Data Scientist emphasizes application and implementation.

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Bayesian Phd jobs near you
Infographic showing various Bayesian Phd job openings in the United States as of May 2026, with employment types broken down into 7% As Needed, 65% Full Time, 12% Part Time, 13% Temporary, 2% Contract, and 1% Nights. Highlights an 33% Physical, and 67% Hybrid job distribution.
Bayesian Statistician (Data Scientist) - Aurora, CO

Bayesian Statistician (Data Scientist) - Aurora, CO

ICR, Inc.

Aurora, CO

$78.85K - $236.58K/yr

Full-time

Medical, Retirement, PTO

Posted 27 days ago

Job description

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 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
Salary Range: $78,853 - $236,579
This position offers a comprehensive benefits package that includes company equity, retirement plan, company-paid health care benefits, flexible paid time off policy, and opportunity for a raise and bonus during the year.
ICR, Inc. considers several factors when extending job offers, including but not limited to candidates’ key skills, relevant work and/or military experience, education, training certifications and work location.
ICR is proud to be an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

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