Probabilistic AI Data Scientist — Bayesian Modeling Remote

Software Mind; Argentina; Remote; ARS 106,112,000 - 166,748,000; Full time

Benefits offered by this job

Flexible schedule

Work From Anywhere

Referral Program

Supportive atmosphere

Job summary

Software Mind seeks a Data Scientist with deep expertise in probabilistic AI to support an e-commerce platform built on distributed microservices. You will design, validate, and productionize Bayesian models and work with backend engineers to integrate models into service-oriented production architecture.

The role emphasizes MCMC, mixture models, HMMs, and lifecycle management, with 3–6 months project length. Excellent English communication and collaboration across teams are required.

Qualifications

• Experience designing Bayesian models for decisioning under uncertainty.
• Strong background in probabilistic inference and state-space models.
• Experience deploying probabilistic models into production services.

Responsibilities

• Design Bayesian models for pricing, segmentation and demand.
• Develop Markov models for sequential patterns and lifecycle analysis.
• Apply MCMC methods and validate convergence of posteriors.

Skills

Bayesian statistics

Markov chains

MCMC methods

Gaussian Mixture Models

Python

R

Communication

CI/CD

Tools

PyMC

Stan

scikit-learn

NumPy/SciPy

Job description

Software Mind seeks a Data Scientist with deep expertise in probabilistic AI to support an e-commerce platform built on distributed microservices. You will design, validate, and productionize Bayesian models and work with backend engineers to integrate models into service-oriented production architecture.

The role emphasizes MCMC, mixture models, HMMs, and lifecycle management, with 3–6 months project length. Excellent English communication and collaboration across teams are required.