
Senior Data Scientist – Growth
Globo
full-time
Posted on:
Location Type: Hybrid
Location: Rio de Janeiro • Brazil
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Job Level
Tech Stack
About the role
- Work with raw data: clean, transform, and model it to support strategic decision-making.
- Collaborate with teams on data processes from collection through to presenting analyses in dashboards and reports.
Requirements
- Build data pipelines applying business logic, selecting aggregation levels, grouping and transforming fields, validating data quality, and cleaning datasets;
- Organize and model data layers, providing a concise structure that enables analysis and KPI generation;
- Develop self-service data solutions;
- Conduct exploratory data analysis;
- Build, productionize, evaluate, and maintain Machine Learning models aimed at increasing engagement, retention, and understanding user behavior;
- Work with technology, engineering, and analytics teams;
- Design and analyze A/B tests for analysis and incrementality;
- Communicate with stakeholders to understand their primary needs, and be able to operate effectively and autonomously across multiple teams in ambiguous situations with only high-level guidance;
- Evangelize the use of data by teaching and sharing best practices;
- Experience with analytics and digital marketing tools (AppsFlyer, Comscore, etc.);
- Experience with PySpark;
- Experience with data modeling tools such as DBT or Dataform;
- Experience in marketing mix modeling (MMM).
Benefits
- Diversity
- Inclusive and welcoming environment
- Remote work with opportunities for collaboration with a global team
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data cleaningdata transformationdata modelingdata pipeline developmentdata validationexploratory data analysisMachine LearningA/B testingKPI generationmarketing mix modeling
Soft Skills
collaborationcommunicationautonomyproblem-solvingstakeholder engagementteachingbest practices evangelism