Data Scientist

Data Scientist – Measurement & Attribution

12-month Contract

Remote:
Monthly travel to Princeton, NJ

Requirements

• Support US-based attribution modeling capabilities by applying data science techniques to examine marketing activities and estimate their growth.
• Develop and revise code supporting measurement and attribution analytics.
• Work on projects involving Media Mix Optimization, Marketing Mix Modeling (MMM), Analysis of Covariance (test and control), Cluster Analysis, and Attribution Modeling of disaggregate event-stream data.
• Manage data collection and modeling with vendors.
• Develop reports and processes to ensure data quality control.
• Promote innovation in analytics and implement and refine attribution models.
• Interpret and visualize model estimates and diagnostics.
• Champion continuous improvement and strategic evolution.
• Measure both digital and offline marketing activities, including attribution, MMM, and linear TV impact.
• Work with offline data, including Salesforce, TV, digital media, and CRM data.
• Apply statistical and data science techniques, including regression, hierarchical or mixed regression, and machine learning techniques.
• Utilize advanced modeling skills with Python and R.
• Work in cloud environments, especially Snowflake.
• Work with platforms such as Dataiku and Databricks.
• Understand marketing goals and how different media channels support these goals.

Qualifications

• Proficiency in SQL, Python, and/or R or another statistical programming language.
• Experience in measurement of both digital and offline marketing activities.
• Experience with attribution modeling, Media Mix Modeling (MMM), and linear TV impact measurement.
• Experience working with and measuring offline, TV, digital media, and CRM data.
• Knowledge of statistics and data science.
• Knowledge of regression, hierarchical or mixed regression, and machine learning techniques, including Naïve Bayes, Markov Chain, and Random Forest.
• Advanced modeling skills with Python and R.
• Cloud environment experience, especially Snowflake.
• Experience working with platforms such as Dataiku and Databricks.
• Preference for experience in the pharmaceutical or life sciences industry.