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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing data science solutions, including machine learning models and data engineering pipelines, while effectively communicating complex technical concepts to diverse stakeholders. Proficient in SQL and Python, with a strong foundation in statistics and experience in generative AI applications.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingMachine Learning ExpertiseData Engineering KnowledgeGenerative AI Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingPredictive ModelingFeature EngineeringHyperparameter OptimizationCross-ValidationStatistical InferenceDescriptive StatisticsPerformance Metrics EvaluationData TransformationQuality Assurance

Soft Skills

Effective CommunicationAnalytical ThinkingCreative Problem SolvingCollaborationAdaptability

Tools & Technologies

GCP BigQueryGitAirflowLuigiKubeflow

Industry Keywords

Generative AIData ScienceData EngineeringCloud EnvironmentsAPIs

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