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.