Senior Data Scientist
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The role
Lead the development of data-driven solutions for digital marketing use cases using statistical methods, data mining, and data engineering.
Implement propensity models, segmentation analyses, churn forecasting, and recommendation systems alongside analytics and engineering teams.
Participate in the full project lifecycle—from problem definition and data discovery to model development, evaluation, and client recommendations.
Deploy ML pipelines to production and scale analyses on large datasets across cloud platforms (Azure, AWS, GCP).
Explain findings with data visualizations (Power BI, Tableau, Looker) and translate technical results for non-technical stakeholders.
This hybrid Buenos Aires role requires collaboration across cross-functional teams to deliver impactful business outcomes.
Implement propensity models, segmentation analyses, churn forecasting, and recommendation systems alongside analytics and engineering teams.
Participate in the full project lifecycle—from problem definition and data discovery to model development, evaluation, and client recommendations.
Deploy ML pipelines to production and scale analyses on large datasets across cloud platforms (Azure, AWS, GCP).
Explain findings with data visualizations (Power BI, Tableau, Looker) and translate technical results for non-technical stakeholders.
This hybrid Buenos Aires role requires collaboration across cross-functional teams to deliver impactful business outcomes.
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Remote workPartial
CityBuenos Aires, Argentina