About this 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.

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).

Senior Data Scientist – Growth

Key skills