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Bayesian Modeling Jobs in Bay Shore, NY (NOW HIRING)

... Bayesian modeling * Experience working with large-scale, high-volume datasets and partnering on modern data infrastructure with: * Cloud platforms: AWS, GCP, Azure * Data platforms: Snowflake ...

Sr Software Engineer

New York, NY · On-site

$134K - $176K/yr

Energy experience and modeling, optimization * Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting ...

Sr Software Engineer

New York, NY

$134K - $176K/yr

Energy experience and modeling, optimization * Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting ...

Sr Software Engineer

New York, NY · On-site

$134K - $176K/yr

Energy experience and modeling, optimization * Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting ...

Sr Software Engineer

New York, NY · On-site

$134K - $176K/yr

Energy experience and modeling, optimization * Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting ...

Staff AI Scientist

New York, NY · On-site

$209K - $283K/yr

In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.

Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data ...

... e.g., bayesian pooling, hierarchical modeling) * Demonstrated communication skills and experience presenting complex findings to both technical and non-technical stakeholders * Demonstrated ...

Computational Ecologist

New York, NY · On-site

$152K - $203K/yr

Strong foundation in modeling techniques (e.g., differential equations, agent-based modeling, network models, Bayesian approaches) for simulating ecological processes or population dynamics.

Marketing Data Scientist

New York, NY · On-site

$113K - $170K/yr

Build, validate, and improve MMM frameworks using both Bayesian and Frequentist methodologies . * Manage multiple modeling engagements simultaneously across a diverse portfolio of clients and ...

You love building mathematical and probabilistic models, computer science algorithms, and you have ... Experience with statistical methods and analysis such as bias vs. variance tradeoffs, Bayesian ...

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Bayesian Modeling information

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How much do bayesian modeling jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for bayesian modeling in Bay Shore, NY is $61.15, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $71.11 per hour, depending on experience, location, and employer.

What is Bayesian modeling?

Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.

How does a Bayesian modeling specialist typically collaborate with cross-functional teams in a workplace setting?

Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.

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

To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.

What is the difference between Bayesian Modeling vs Data Scientist?

AspectBayesian ModelingData Scientist
Required CredentialsStatistics, Mathematics, Data AnalysisStatistics, Computer Science, Data Analysis
Work EnvironmentResearch-focused, statistical modelingCross-functional, data analysis, visualization
Industry UsageResearch, academia, specialized analyticsBusiness, tech, finance, healthcare
Common Search/ComparisonYesYes

Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.

What are popular job titles related to Bayesian Modeling jobs in Bay Shore, NY?

For Bayesian Modeling jobs in Bay Shore, NY, the most frequently searched job titles are:

What cities near Bay Shore, NY are hiring for Bayesian Modeling jobs?

Cities near Bay Shore, NY with the most Bayesian Modeling job openings:

Member of Technical Staff, Bayesian Statistics

Ataraxis AI

New York, NY • On-site

$100K - $300K/yr

Full-time

Posted 18 days ago


Job description

About Ataraxis AI
Ataraxis is a clinical AI research lab working at the intersection of multi-modal AI and precision medicine. Our goal is to make disease predictable. To accomplish this, we develop new AI methods that predict patient outcomes and treatment response, and build clinical tools to assist physicians in selecting the most optimal treatments for their patients.
Our AI research lab discovers and develops methods to recognize patterns and predict outcomes across complex, multi-modal clinical data. This spans our causality (Ataraxis™ Tau), foundation model (Falcon and Kestrel for digital pathology), and survival analysis research.
Our first clinical products, such as Ataraxis™ Breast for breast cancer, already help patients get the most appropriate treatment across the best academic institutions and community clinics worldwide.
At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare. You will join an exceptional team at the forefront of clinical AI research and deployment. Our advisors include AI pioneers such as our founding advisor, Yann LeCun, and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine.
Ataraxis has raised over $24 million in funding, including a $20 million Series A led by top venture capital funds such as Thiel Capital/Founders Fund (OpenAI, SpaceX, Palantir), Obvious Ventures (AMI Labs, Inceptive, Radical Numerics, Recursion), and AIX Ventures (Hugging Face, Perplexity).
We are an company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential.
Responsibilities
  • Design and implement novel Bayesian statistics methods.
  • Translate machine learning papers into production-ready code.
  • Build robust model evaluation frameworks.
  • Disseminate the results by co-authoring research papers and abstracts.
  • Collaborate with a multidisciplinary team of engineers and scientists.
  • Co-mentor junior members of the team.
Qualifications
  • PhD degree in statistics or machine learning.
  • Excellent knowledge of Bayesian statistics, including Gaussian processes and Bayesian clinical trial design.
  • Passion for research, attention to detail and ability to drive tasks to completion. Strong preference will be given to candidates with papers in A* conferences (e.g. ICML, ICLR, NeurIPS, CVPR) or top-tier statistics journals.
  • Excellent understanding of core machine learning concepts.
  • Excellent knowledge of the foundations of statistics, linear algebra, probability and machine learning.
  • Excellent skills in Python and PyTorch.
  • Experience with applying Bayesian statistics to uncertainty quantification in deep learning and model explainability.
  • Experience in deep learning. Experience in self-supervised learning, survival analysis, multi-modal learning, domain adaptation, causal inference, model interpretability and computational pathology is a bonus.