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Grupo Boticário

Data Scientist III

Grupo Boticário

Data Scientist managing Data RGM at Grupo Boticário. Collaborating with cross-functional teams to deliver strategic decision solutions.

Posted 6/3/2026full-timeRemote • 🇧🇷 BrazilLeadWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Develop Data Science solutions: Create solutions that meet business needs, typically involving exploratory data analysis, machine learning models (supervised and unsupervised) and Operations Research (Optimization).
  • Execute the full DS lifecycle: Lead from business understanding and exploratory analysis, through feature engineering, model building and performance validation, providing the necessary support to deploy developed models to production.
  • Bridge with the business: Design, together with business areas, model usage and monitoring, ensuring clear communication to explain complex results to non-technical teams.
  • Work in an agile team: Operate in a collaborative, multidisciplinary environment, handling cross-technical dependencies among peers with clarity and transparency.
  • Explore AI innovations: Support the team in evolving solutions using new AI tools on the market for day-to-day work and for model explainability.

Requirements

What you’ll need
  • Strong knowledge of Statistics and Machine Learning (supervised and unsupervised modeling).
  • Intermediate knowledge in Operations Research (mathematical optimization models).
  • Proficiency in Python and SQL.
  • Experience with code versioning tools (Git / GitHub) and familiarity with working in cloud environments.
  • Clear communication and business focus: Ability to explain complex results clearly to functional and non-technical teams.
  • Collaborative profile: Ability to foster open discussions, handle cross-technical dependencies and work integratively with the team.
  • The following are a plus:
  • Deep knowledge of Operations Research
  • Experience or active interest in code assistants (such as GitHub Copilot) and in using/creating AI agents or LLMs
  • Prior experience with data products and integrating models into digital applications.

Benefits

Comp & perks
  • Health is a priority:
  • Medical and dental plan
  • Medication assistance
  • Health allowance for family members
  • Free psychotherapy sessions
  • Telemedicine and second medical opinion
  • Free flu vaccine
  • Health care programs
  • For your nutrition:
  • Meal allowance or local restaurant voucher (depending on work model)
  • Food allowance
  • Year-end food allowance
  • Ensuring well-being and quality of life in all aspects:
  • 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 (agreements and partnerships, multi-brand store, TotalPass gyms, courses and much more!)
  • Travel and accommodation program
  • For the family:
  • Childcare assistance
  • Child nutrition credit
  • Babysitter assistance
  • School supplies assistance
  • Legal, psychological and social counseling
  • Support for non-traditional parents
  • Extended parental leave (180 days for mothers and 120 days for fathers)
  • Mobility for your on-site commute:
  • Commuter allowance and parking (hybrid and on-site models)
  • Security for protection and financial peace of mind:
  • Life insurance
  • Bereavement assistance for loss of parents
  • Private pension plan
  • Payroll-deductible loans

ATS Keywords

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Hard Skills & Tools
Data Science solutionsexploratory data analysismachine learningOperations ResearchOptimizationfeature engineeringmodel buildingperformance validationStatisticsSQL
Soft Skills
clear communicationbusiness focuscollaborative profilefoster open discussionshandle cross-technical dependencieswork integrativelyexplain complex results