
10,000+ employees
Founded 2010
💄 Beauty
🛒 Retail
🧘 Wellness
Beauty • Retail • Wellness
Grupo Boticário is a leading Brazilian beauty company founded in 1977 that emphasizes innovation in beauty solutions while promoting love and inclusivity. The company offers a diverse portfolio of beauty products, including skincare, makeup, and wellness items, while also championing entrepreneurship and social impact through its foundation and various initiatives. Grupo Boticário is recognized for its commitment to sustainability, accessibility, and high-quality products, making it one of the largest beauty platforms in Latin America.
🔥 3 hours ago
🗣️🇧🇷🇵🇹 Portuguese Required
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10,000+ employees
Founded 2010
💄 Beauty
🛒 Retail
🧘 Wellness
Beauty • Retail • Wellness
Grupo Boticário is a leading Brazilian beauty company founded in 1977 that emphasizes innovation in beauty solutions while promoting love and inclusivity. The company offers a diverse portfolio of beauty products, including skincare, makeup, and wellness items, while also championing entrepreneurship and social impact through its foundation and various initiatives. Grupo Boticário is recognized for its commitment to sustainability, accessibility, and high-quality products, making it one of the largest beauty platforms in Latin America.
• Develop descriptive and predictive data science solutions focused on process optimization, resource allocation, and decision support for the portfolio’s health and performance areas. • Create sales performance indicators for products and build solutions that increase the portfolio’s profitability. • Execute all stages of the data science solution lifecycle: business understanding, feature study and preparation, mathematical/statistical modeling, performance validation, support for model deployment to production, and measurement of results. • Collaborate with the functional area in the design, application and monitoring of models. • Work in a dynamic, constantly evolving environment, interacting with professionals of different profiles and seniority levels.
• Strong knowledge of Python for data analysis and SQL. • Solid background in statistics. • Experience with machine learning models and predictive modeling, including interpretation and evaluation of metrics. • Experience with version control (Git) and cloud environments (GCP). • Strong problem-solving skills. • Proactiveness and a sense of urgency. • Analytical, critical and creative thinking to develop solutions that meet different kinds of needs. • Interest in deepening business knowledge. • Proficiency with AI tools (e.g., Copilot or Cursor) to increase speed in coding, testing and documentation. • Experience with generative AI agents applied to data products (e.g., NotebookLM, Gems) is desirable. • Mastery of causal inference techniques to isolate the real incremental impact of proposed solutions and avoid analytical false positives. • Experience developing recommendation engines and large-scale association rule algorithms (such as FP-Growth) is desirable.
• Here, your **Health** is a priority • Medical and dental plans • Medication assistance • Health allowance for family members • Free psychotherapy sessions • Telemedicine and second medical opinion • Free flu vaccine • Health care programs • To take care of your **Nutrition** • Meal voucher or local restaurant card (depending on work model) • Food allowance • Christmas food allowance • **Ensuring Well‑Being and Quality of Life in all aspects of life** • Gym and fitness studio plan • Home office allowance (hybrid and remote work models) • Pet health plan • Birthday day off • Up to 40% discount on our products • Employee association (discounts and partnerships, multibrand store, TotalPass gym access, courses and much more!) • Travel and accommodation program • For the **Family**, our most precious asset • Childcare assistance • Child nutrition credit • Babysitting allowance • School supplies assistance • Legal, psychological and social guidance • Support for non-traditional parents • Extended parental leave (180 days for mothers and 120 days for fathers) • **Mobility** for your on-site commute • Transportation voucher and parking (hybrid and on-site models) • **Security** for financial protection and peace of mind • Life insurance • Support for the death of parents • Private pension plan • Payroll-deductible loans
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