Bayesian Data Scientist: Production-Ready Modeling

Numerator; Chicago (IL); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health benefits

Unlimited PTO

401K matching

Volunteer time off

Job summary

Numerator is seeking a Data Scientist (Bayesian Modeling) to help build, enhance, and scale data science services across our data platform. You’ll turn massive proprietary datasets into production-grade solutions and collaborate with Product, Data, and Engineering teams to translate customer needs into data-driven offerings.

This growth-track, product-focused role invites you to contribute to Bayesian and probabilistic modeling pipelines, participate in the team's learning culture, and

Qualifications

• Strong foundation in Bayesian inference and probabilistic modeling.
• Experience applying probabilistic/Bayesian methods to real-world datasets.
• Comfort reasoning about uncertainty, calibration, and model validation.
• Facility with large or structured datasets and computational inference at scale.
• Strong Python and fluency in a modern probabilistic-programming stack (NumPyro, PyMC, Stan, JAX, etc.).
• Interest in shipping statistical models into production and writing maintainable code.
• 0-2 years of relevant experience or recent graduate with strong quantitative project work.
• Clear communication with technical and non-technical audiences.

Responsibilities

• Contribute to Bayesian modeling pipelines from research to production.
• Execute on tickets and small epics with mentorship.
• Collaborate with Product, Data, and Engineering to turn models into reliable solutions.
• Participate in learning culture and seek feedback on Bayesian methods.
• Communicate methods, results, and tradeoffs clearly to diverse audiences.

Skills

Bayesian inference

Probabilistic modeling

MCMC/HMC

Python

Probabilistic-programming stack

Production-grade code

Communication

Education

BS to PhD in Statistics/Math/Economics/Physics/CS

Tools

NumPyro

PyMC

Stan

JAX

dynamax

Job description

Numerator is seeking a Data Scientist (Bayesian Modeling) to help build, enhance, and scale data science services across our data platform. You’ll turn massive proprietary datasets into production-grade solutions and collaborate with Product, Data, and Engineering teams to translate customer needs into data-driven offerings.

This growth-track, product-focused role invites you to contribute to Bayesian and probabilistic modeling pipelines, participate in the team's learning culture, and