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Grupo Boticário

Data Scientist III – Affirmative Action Position for Women (Cis and Trans)

Grupo Boticário

Develop and implement end-to-end Data Science solutions (modeling, deployment and monitoring) for store-related data. Work with generative AI projects and cross-functional teams to translate business needs into scalable, production-ready models.

Posted 7/7/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Gather technical requirements and propose efficient data solutions, aligning data science with business objectives;
  • Define, design and implement data models to meet and exceed business area requirements;
  • Develop high-quality Data Science solutions, including supervised and unsupervised models, predictive models and deep analyses that address the company's primary challenges;
  • Independently execute all stages of the DS solution lifecycle (from understanding the business, studying and preparing features, to building and validating model performance);
  • Work at the technological forefront on projects involving Generative Artificial Intelligence, focusing on the creation of intelligent agents;
  • Collaboratively design and implement practical use and continuous monitoring of deployed models in partnership with business areas;
  • Assist in developing and maintaining data engineering pipelines, using best practices for organizing and optimizing workflows;
  • Develop secure, consistent and scalable solutions for data collection, transformation and quality assurance in data pipelines;
  • Investigate opportunities and propose new techniques while keeping technical documentation of solutions up to date;
  • Work horizontally and cross-functionally, showing genuine interest in understanding business processes and metrics;
  • Communicate effectively and concisely (oral and written), translating complex technical topics for different audiences and stakeholders.

Requirements

What you’ll need
  • SQL proficiency: Solid experience with the language, with strong preference for the GCP ecosystem (BigQuery);
  • Programming language: Practical development experience, preferably using Python;
  • Theoretical foundations: Strong knowledge of descriptive statistics, statistical inference and probability;
  • Machine Learning: Hands-on experience with supervised and unsupervised models, covering feature engineering, hyperparameter optimization, cross-validation, as well as interpretation and evaluation of performance metrics;
  • Analytical mindset: Analytical and creative thinking to propose solutions that meet different business needs;
  • Soft skills: Ease working in horizontal, cross-disciplinary teams, with excellent communication and a dynamic profile suited to rapidly changing environments;
  • Generative AI: Experience with generative AI solutions aimed at building virtual assistants is a plus;
  • DevOps and Cloud: Practical experience with code versioning tools (Git) and cloud environments is a plus;
  • Deployment culture: Experience deploying models to production is a plus;
  • Advanced experimentation: Knowledge in designing and evaluating experiments (A/B tests, multivariate tests, etc.) is a plus;
  • Data engineering: Knowledge of data ingestion technologies and strategies, as well as workflow orchestration tools (e.g., Airflow, Luigi, Kubeflow) is a plus;
  • Integrations: Experience extracting data via third-party APIs (e.g., Google, Facebook, Salesforce) is a plus.

Benefits

Comp & perks
  • Here, your 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 vaccination
  • . Health care programs
  • To support your nutrition
  • . Meal voucher or local restaurant allowance (depending on work model)
  • . Food allowance
  • . Holiday (Christmas) food allowance
  • Ensuring well-being and quality of life in all aspects
  • . Gym and fitness studio plan
  • . Home office allowance (for hybrid and remote work models)
  • . Pet health plan
  • . Birthday day off
  • . Up to 40% discount on our products
  • . Employee membership benefits (partnerships and discounts, multibrand store, TotalPass gyms, courses and 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 counseling
  • . 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)
  • Financial security for protection and peace of mind
  • . Life insurance
  • . Bereavement support for loss of parents
  • . Private pension plan
  • . Payroll-deductible loans

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Data ModelingPredictive ModelingFeature EngineeringHyperparameter OptimizationCross-ValidationStatistical InferenceDescriptive StatisticsPerformance Metrics EvaluationData TransformationQuality Assurance
Soft Skills
Effective CommunicationAnalytical ThinkingCreative Problem SolvingCollaborationAdaptability