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Data Scientist III
Grupo BoticárioData Scientist managing Data RGM at Grupo Boticário. Collaborating with cross-functional teams to deliver strategic decision solutions.
Tech Stack
Tools & technologiesPythonSQL
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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