Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.totaljobs.com

Tech stack

Amazon Web Services Code Review Python (Programming Language) SQL Databases Pandas

Job description

• Drive Model Strategy: Select and build the right Bayesian, frequentist, or ML methods to continuously improve flagship measurement platforms.
• Build Core Architectures: Construct hierarchical, time series, and audience models in PyMC, Stan, or NumPyro.
• Set Technical Standards: Define team best practices for priors, diagnostics, posterior checks, and scalable inference.
• Lead & Mentor: Guide junior and mid-level data scientists through code reviews, technical sessions, and shared best practices.
• Commercial Translation: Communicate probabilistic outputs into clear, actionable business insights for client stakeholders.

Requirements

• Bayesian Expertise: Practical experience with hierarchical models, MCMC, variational methods, and hands-on work in PyMC, Stan, or NumPyro.
• Technical Stack: Strong proficiency in Python, SQL, and pandas (Polars or AWS experience is a plus).
• Track Record: 5+ years of data science experience (PhD and postdoc work count toward this total).
• Communication Skills: Ability to bridge the gap between complex probabilistic modeling and commercial decision-making.

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