Descripción del puesto

📣 BCM Uruguay is Hiring!

Senior ML Scientist

📍Remote - LATAM

📍Contractor - USD salary

📍English - Advanced level

Requisitos

Key Responsibilities

• Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations.

• Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization,

to solve pricing and optimization challenges.

• AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behaviour, demand elasticity, and competitive insights to optimize revenue and conversion.

• Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and define algorithms.

• Feature Engineering: Engineer large-scale consumer behavioural feature stores to support ML models, ensuring scalability and performance.

• Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact.

• Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models.

Qualifications

• 8+ years in machine learning, 5+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence.

• Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization.

• Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding.

• Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning).

• Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch

• Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing

Beneficios

• Home Office – 100% Remoto
• Contractor – Salario en USD
• Horario: lunes a viernes. 8hs diarias.
• Regalo de cumpleaños
• Regalo por matrimonio
• Regalo por nacimiento de hijos
• Descuentos en capacitaciones
• Facilidad de compra de hardware

Súmate a Nuestro Equipo