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Probabilistic Modeling Jobs in New York (NOW HIRING)

Amazon

Applied Scientist , Inbound Systems

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

No single model can solve a problem this large. The Supply Chain Planning Optimization team is ... probabilistic forecasts so plans hold up when reality diverges from the forecast. The work spans ...

Jump Trading

Campus Quantitative Trader (Full-Time)

New York, NY

$300K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... models. About the Role: At Jump, our people contribute to trading teams in the following roles, or ... Outstanding skills in probabilistic thinking and mathematical reasoning * Competitive spirit and ...

THOMSON REUTERS

Research Engineer

New York, NY · Hybrid

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  • Dental

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  • Life

  • Retirement

  • PTO

Familiarity with probabilistic models andunderstandthe mathematical concepts underlying machine learning methods * Proficiencyin automation, system monitoring, and cloud-native applications, with ...

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Probabilistic Modeling information

What is probabilistic modeling?

Probabilistic modeling is a mathematical framework used to represent uncertain events or data by using probability distributions. Instead of giving a single outcome, it accounts for variability and randomness, allowing predictions and inferences even when information is incomplete or ambiguous. Probabilistic models are widely used in fields like statistics, machine learning, finance, and engineering to analyze data, make forecasts, and support decision-making under uncertainty.

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

To thrive as a Probabilistic Modeler, you need a strong background in mathematics, statistics, and probability theory, often supported by a degree in applied mathematics, statistics, or a related field. Proficiency with programming languages like Python or R, and experience with statistical modeling tools and software such as TensorFlow or PyMC, are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex models into actionable insights. These skills are vital for designing accurate models, interpreting uncertainty, and supporting data-driven decisions across various industries.

What are some common challenges faced by professionals in probabilistic modeling roles, and how can they be managed?

Professionals in probabilistic modeling often encounter challenges such as working with incomplete or noisy data, choosing the right model complexity, and ensuring model interpretability for stakeholders. Managing these challenges involves strong statistical knowledge, regular collaboration with domain experts, and effective communication to translate complex results for non-technical team members. Staying up-to-date with the latest tools and methodologies, and participating in peer reviews, can also help maintain model accuracy and reliability.

What is the difference between Probabilistic Modeling vs Data Scientist?

AspectProbabilistic ModelingData Scientist
Required CredentialsDegree in statistics, mathematics, or related fields; knowledge of probability theoryDegree in computer science, statistics, or related fields; programming skills
Work EnvironmentResearch-focused, often in analytics or data science teamsCross-functional teams, including business, engineering, and analytics
Industry UsageUsed in analytics, finance, healthcare, and research for modeling uncertaintyApplied across industries for data analysis, predictive modeling, and decision-making

Probabilistic Modeling focuses on developing models based on probability theory to understand uncertainty, while Data Scientists utilize a broader set of skills including programming, data analysis, and machine learning to extract insights from data. Both roles often overlap but serve different primary purposes within data-driven organizations.

What are popular job titles related to Probabilistic Modeling jobs in New York?

For Probabilistic Modeling jobs in New York, the most frequently searched job titles are:

What job categories do people searching Probabilistic Modeling jobs in New York look for?

The top searched job categories for Probabilistic Modeling jobs in New York are:

What cities in New York are hiring for Probabilistic Modeling jobs?

Cities in New York with the most Probabilistic Modeling job openings:

Probabilistic Modeling jobs near you
Infographic showing various Probabilistic Modeling job openings in New York as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 93% In-person, and 7% Remote job distribution.

Postdoctoral researcher in AI for Science in M2LInES - Generative Models for Dynamical Systems (NYU

New York University

Manhattan, NY • On-site

Full-time

Re-posted 26 days ago

New York University rating

8.5

Company rating: 8.5 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

79th of 619 rated colleges and universities

Job description

Job Summary:
New York University is seeking a full-time Postdoctoral Researcher to join the M2LInES project at the Courant Institute School of Mathematics, Computing, and Data Science. The successful candidate will focus on developing generative machine learning models for complex dynamical systems and will lead independent research while collaborating with domain scientists and AI experts.
Responsibilities:
• Lead independent research directions
• Collaborate with a team composed of domain scientists, experts in climate physics and modeling, and AI
• Develop generative machine learning models for complex dynamical systems for probabilistic forecasts
Qualifications:
Required:
• Ph.D. in machine learning, computer science, engineering, physical science or related technical discipline.
• Expertise in developing and training AI models
• Proficiency in Python
• Experience with HPC (GPUs preferred)
• Ability to work at the interface of AI and science/engineering problems
• Ability to lead, develop, and contribute to multiple projects in a fast-paced environment
• Ability to work independently and collaboratively as part of an interdisciplinary team
• Outstanding written and oral communication skills
• Technical and scientific curiosity
• A solid record of relevant publications and software appropriate to their career stage
Company:
New York University is a private research university that provides education in the arts and sciences, law, medicine, business, and others. Founded in 1831, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

What New York University employees say

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About New York University

Sourced by ZipRecruiter

Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831

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