01 mar
Business Commercial Management
Buenos Aires
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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.
Benefits
- 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.
Cuando una idea aparece, nacen la motivación y el deseo de concretarla. Esa motivación es la que mueve a nuestro equipo.
Desde que comenzamos a dar nuestros primeros pasos solo hemos tenido una idea en mente, la tecnología es siempre el camino.
¿Buscas nuevos desafíos en tu carrera? En BCM encontrarás un equipo que nunca deja de crecer y que se suma a todo tipo de proyectos.
Estamos listos para hacerlo, ¡contamos contigo!
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
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