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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Science solutionsexploratory data analysismachine learningOperations ResearchOptimizationfeature engineeringmodel buildingperformance validationStatisticsSQL

Soft Skills

clear communicationbusiness focuscollaborative profilefoster open discussionshandle cross-technical dependencieswork integrativelyexplain complex results

Tools & Technologies

PythonGitGitHubcloud environmentsAI toolscode assistantsAI agentsLLMs

Industry Keywords

supervised modelingunsupervised modelingmathematical optimization modelsdata productsintegrating modelsdigital applications

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