Description

• Manage data collection and modeling with vendors.
• Develop reports and processes to ensure data quality control.
• Promote innovation in analytics, implement and refine attribution models.
• Interpret and visualize model estimates and diagnostics.
• Champion continuous improvement and strategic evolution.

Experience:

• Measurement of both digital and offline measurement, including attribution, MMM, and linear TV impact.
• Proficiency in SQL, Python and/or R or other statistical programming language.
• Experience working with and measuring offline (such as salesforce), TV, digital media, and CRM data.
• Knowledge of statistics/data science, including regression, hierarchical or mixed regression, and machine learning techniques (Naïve Bayes, Markov Chain, Random Forest etc.).
• Advanced modeling skills with Python and R.
• Cloud environment experience, especially Snowflake.
• Experience working with platforms like Dataiku/Databricks.
• An understanding of marketing goals and how different media channels support these goals.
• Preference, experience in pharma/life sciences

Key Skills

Education

Bachelor's degree