RI
RiachueloMid-level Data Scientist
Data Scientist transforming customer data into insights that guide strategic decisions for Riachuelo. Collaborating with teams to analyze and visualize data trends for business growth.
About the role
- Develop ML models for recommendation systems and auction optimization
- Apply modern techniques such as Multi-Armed Bandits, Reinforcement Learning, and Counterfactual Learning
- Work across the entire ML pipeline — from data and feature engineering to production inference
- Collaborate closely with backend engineers, contribute to infrastructure design, and participate in A/B testing of models
- Monitor metrics and model performance after deployment
- Communicate with business stakeholders, analyze corner cases, and identify opportunities to improve the system together
Requirements
- 3+ years of experience developing and deploying ML models in production
- Strong knowledge of classical Machine Learning algorithms
- Excellent skills in Python, pandas, and scikit-learn
- Solid understanding of probability theory, statistics, and basic Reinforcement Learning principles
- Ability to turn vague business problems into clear, structured tasks and suggest appropriate models or solutions
- Nice to Have: Experience in AdTech or Recommender Systems
- Experience working with SQL and large-scale data
- Knowledge of Airflow and Docker
- Familiarity with deep learning frameworks — PyTorch, TensorFlow, or JAX
- Ability to design solutions with latency and high-load considerations (highload ML)
Benefits
- health insurance
- fully covered 10 working days of sick leave per year
- 5 additional day-offs per year
- English and other languages compensation
- quartile and annual bonuses
- corporate events
- gifts
- snacks in our worldwide working spaces
- breakfasts & lunches in the offices
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
PF
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