Senior Data Scientist

• Work within the Revenue squad to optimize coupons, discounts, and campaigns, maximizing purchase conversion.
• Analyze price perception and customer behavior to identify opportunities for improvement.
• Balance commercial appeal, customer experience, and revenue generation.
• Develop and enhance prediction models for Zé Delivery.
• Create and maintain data pipelines and features in PySpark to support models at scale.
• Develop product and offer recommendation strategies throughout the customer journey.
• Define, execute, and analyze A/B tests to assess the impact of models and campaigns.

• Bachelor's degree or equivalent higher education qualification.
• Experience working with consumer data applied to recommendation and personalization problems.
• At least 3 years of experience as a Data Scientist.
• Strong experience with Python and PySpark, including distributed processing and handling large volumes of data in a cloud environment (AWS or Azure).
• Experience developing machine learning models for recommendation, prediction, and classification.
• Knowledge of recommendation techniques, such as matrix factorization (e.g., ALS), neighborhood-based models, and embeddings.
• Experience with market basket analysis and association rules (e.g., Apriori, FP-Growth).
• Experience with clustering and customer segmentation techniques based on behavior and lifecycle.
• Knowledge of causal inference, A/B testing, and incremental impact measurement.
• Experience with offline and online evaluation of recommendation models (e.g., NDCG, MAP, uplift, and business metrics).
• Strong foundations in statistics, machine learning, and model validation.
• Ability to translate analytical models into business decisions and impact on key metrics.
• Preferred qualifications: experience with modern recommendation architectures, user and item embeddings, real-time and low-latency recommendation systems, feature stores, online/offline feature serving, multi-armed bandits, reinforcement learning applied to recommendation, a graduate degree in Data Science or a related field, strong communication skills, and the ability to generate actionable business insights.

• Medical Insurance
• Dental Insurance
• Telemedicine
• Life Insurance
• Gympass
• Discount on company products
• Christmas food basket
• Toys for employees' children
• Private pension plan
• Meal or food allowance
• Optional transportation allowance
• Attendance bonus equivalent to a 14th salary payment
• Childcare or nanny allowance
• Company profit sharing
• Merit-based and inclusive environment
• Development and career growth opportunities within the company