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About the role
- Development of machine learning models;
- Data preparation, exploratory analysis and data visualization;
- Model and hypothesis validation;
- Python programming and code versioning;
- Communication with internal and external stakeholders;
Requirements
- Degree in a quantitative field (computer science, engineering, physics, etc.) and professional experience as a Data Scientist;
- Advanced knowledge of Python and libraries such as Matplotlib, Pandas, NumPy and scikit-learn;
- Previous experience with geospatial data processing;
- Strong communication skills and storytelling;
- Ability to work independently and collaboratively in a team;
- Knowledge of model deployment tools (Docker, Kubernetes, etc.);
Benefits
- Meal or food allowance (meal voucher);
- Gympass/TotalPass;
- Vittude (mental health platform);
- Home-office allowance;
- Flexible working hours;
- Health insurance and dental plan;
- Childcare assistance (up to the child’s 6th birthday);
- Extended maternity, paternity and adoptive leave (#allfamiliesmatter);
- Life insurance;
- Birthday Day Off (one day off to take on your birthday or during your birthday month);
- Family Day (one day off for parents to take between May and August to enjoy as they wish);
- Mental Break (one full consecutive week off in JANUARY to rest and recharge);
- We value, cultivate and respect differences, providing an open and inclusive environment.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata preparationexploratory analysisdata visualizationPythonmodel validationhypothesis validationgeospatial data processingDockerKubernetes
Soft Skills
communicationstorytellingindependent workcollaborative work