Data Science Specialist I – E-commerce
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Job Description
Cientista de dados desenvolvendo recomendações e buscas inteligentes para o e-commerce de beleza do Grupo Boticário. Aplicação de machine learning, deep learning, testes A/B e NLP para aumentar conversão.
Responsibilities:
- Develop advanced Data Science solutions focused on Recommendation Systems and Search Engines, using machine learning and deep learning models to improve product discovery in e-commerce
- Execute the full Data Science solution lifecycle, from understanding the customer journey and feature engineering to model development, offline/online validation, and production deployment support
- Design model usage and monitoring in partnership with Product and Business teams
- Lead A/B tests and ensure the ongoing value of predictions by increasing conversion, CTR, and average order value
- Identify opportunities to apply Generative AI and NLP to search and recommendation experiences
Requirements:
- Experience as a data scientist developing recommendation models in an e-commerce context
- Strong knowledge of Statistics and Machine Learning
- Experience with Recommendation Systems, including Collaborative Filtering, Matrix Factorization, Content-Based Filtering, and Neural Networks for RecSys
- Knowledge of Learning to Rank (LTR) algorithms
- Proficiency in Python, SQL, and PySpark/Spark
- Experience working in Squad/Data Product models in Retail, E-commerce, or Marketplace environments
- Analytical and creative thinking to design solution architectures capable of meeting the scale and latency requirements of high-traffic e-commerce platforms
- Strong communication skills to translate technical results and complex metrics for Product and Business stakeholders
- Knowledge of version control with Git
- Familiarity with Cloud environments (GCP, AWS) and model deployment pipelines (MLOps)
- Experience with AI-assisted code development (GitHub Copilot, Claude Code, etc.)
Benefits:
- Flexible medical and dental insurance plans
- Prescription drug assistance and health allowance for family members
- Free psychotherapy sessions and 24/7 telemedicine
- Ongoing prevention, mental health care, and vaccination programs
- Meal allowance (or on-site restaurant) and food allowance (with an additional Christmas allowance)
- Discounts of up to 40% on brands across our ecosystem
- Gympass/TotalPass access to gyms and sports studios
- Home office allowance for hybrid and remote work arrangements
- Birthday day off
- Pet health insurance, partner benefits, and travel/accommodation programs
- Extended parental leave (180 days for mothers and 120 days for fathers)
- Support for parents of children with special needs and childcare assistance
- School supply allowance and child nutrition credit
- Dedicated legal, psychological, and social support
- Private pension plan and life insurance
- Bereavement support following the loss of parents and payroll-deducted loans
- Transportation allowance and parking (depending on the work arrangement)
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