Semi Senior Data Scientist
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El puesto
Nurture client understanding of the importance of building and testing data-driven strategies.
Use predictive modeling to optimize customer experiences, revenue, ad targeting, and other outcomes.
Apply statistical analysis and ML libraries (Python/R, scikit-learn, StatsModels) to quantify online activity impact on conversions.
Deploy cloud resources and manage ML pipelines from data wrangling to production (Azure, AWS, GCP).
Explain insights with data visualizations (Power BI, Tableau, Looker) to clients and internal teams.
Design experiments, support feasibility analyses, manage project roadmaps, and ensure timely delivery.
Use predictive modeling to optimize customer experiences, revenue, ad targeting, and other outcomes.
Apply statistical analysis and ML libraries (Python/R, scikit-learn, StatsModels) to quantify online activity impact on conversions.
Deploy cloud resources and manage ML pipelines from data wrangling to production (Azure, AWS, GCP).
Explain insights with data visualizations (Power BI, Tableau, Looker) to clients and internal teams.
Design experiments, support feasibility analyses, manage project roadmaps, and ensure timely delivery.
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