Lead chercheur en statistiques bayésiennes et modélisation
Ekimetrics(22 days ago)
About this role
This role is a Bayesian research scientist within Ekimetrics' Innovation department in Paris, focusing on advanced statistical and AI research closely linked to business use cases. The position involves designing and leading original research projects, contributing to Ekimetrics’ product ecosystem, and publishing in top-tier scientific venues. The researcher will collaborate with industrial and academic partners, support internal teams, and occasionally intervene as a Bayesian expert on client projects. The environment is entrepreneurial and mission-driven, centered on responsible, large-scale AI for marketing, operations, and sustainability challenges.
Required Skills
- Bayesian Statistics
- Probabilistic Programming
- State Of Art Research
- Scientific Writing
- Team Management
- Knowledge Sharing
- Python Programming
- MCMC Methods
- Variational Inference
- Hierarchical Modeling
+10 more
Qualifications
- Doctorate in Statistics
- Doctorate in Mathematics
- Doctorate in Econometrics
- Doctorate in Machine Learning
About Ekimetrics
ekimetrics.comEkimetrics is a data science and AI consulting firm that builds AI-driven business solutions to improve decision-making and operational efficiency. They combine advanced analytics, machine learning, and data engineering to deliver end-to-end services—from strategy and data platforms to model development, MLOps and change management—focused on marketing, sales and operations. Serving global enterprise clients across industries, Ekimetrics links analytics to measurable outcomes (revenue, ROI and efficiency) using proprietary methodologies and cross-functional teams. Founded in France with an international footprint, the firm emphasizes pragmatic, production-ready AI that drives business impact.
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