Data Scientist

• Design and implement Bayesian statistical models for decisioning under uncertainty across pricing, segmentation, and demand-related use cases
• Build Markov chain and Hidden Markov Model formulations for sequential and behavioral patterns
• Apply MCMC methods, including Metropolis-Hastings sampling, to estimate posterior distributions and validate convergence and sampling quality
• Develop mixture models, particularly Gaussian Mixture Models, for customer or product segmentation
• Implement Expectation-Maximization for latent-variable estimation and unsupervised learning tasks
• Translate statistical models into production service architecture with APIs, data contracts, and integration points in microservices and event-driven pipelines
• Define model training, validation, versioning, monitoring, drift detection, and retraining approaches
• Partner with delivery and engineering leads to size, sequence, and estimate roadmap initiatives
• Document modeling assumptions, methodology, and validation results
• Provide handoff guidance for engineering team maintenance after the engagement
• Collaborate with backend engineering on production delivery

Data Scientist jobs in Mali

Data Scientist, AI, ML