Data Scientist

Tasks

• Analyze audience measurement metrics
• Build statistical and machine learning models for audience segments
• Collaborate with ML engineers to deploy monitored models
• Develop privacy safe model workflows for production
• Develop propensity and lookalike models
• Perform data fusion for representative consumer view
• Run causal inference experiments

Perks/Benefits

• N/A

Skills/Tech-stack

A/B | A/B Testing | Apache Spark | B testing | Bias correction | CCPA | Causal Inference | Data Bias Correction | Data Fusion | Data bias | Databricks | Experimental Design | GDPR | Pandas | Propensity Modeling | Python | SQL | Scikit-learn | Snowflake | StatsModels | Uplift Modeling