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Data Scientist III – Affirmative Action Position for Women (Cis and Trans)
Grupo BoticárioDevelop 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.
Tech Stack
Tools & technologiesAirflowBigQueryCloudGoogle 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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data ModelingPredictive ModelingFeature EngineeringHyperparameter OptimizationCross-ValidationStatistical InferenceDescriptive StatisticsPerformance Metrics EvaluationData TransformationQuality Assurance
Soft Skills
Effective CommunicationAnalytical ThinkingCreative Problem SolvingCollaborationAdaptability