Dentsu is looking to solve the problem of measuring marketing effectiveness with a focus on measurement and attribution in the health and pharma industry
Requirements
- Deep 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
- Extensive cloud environment experience, especially GCP and AWS
- Data visualization experience with tools like Tableau or Power BI a plus
- Experience working with and measuring TV, digital media, and CRM data
- Understanding of marketing objectives and how different media channels support these objectives
- Experience with Media Mix Optimization, Analysis of Covariance (test and control), Cluster Analysis, and Attribution Modeling of disaggregate event-stream data
Responsibilities
- Coordinate and manage data collection with clients
- Lead teams to develop reports and processes to manage data quality control
- Supervise and, as needed, conduct modeling of client data adhering to project timelines
- Interpret and visualize model estimates and diagnostics
- Drive process innovation and continuous improvement
- Manage project teams and direct reports effectively to drive innovation in analytics and deliver on client expectations
- Develop and maintain advanced modeling skills with Python and R
Other
- Bachelor's degree in at least one of these fields required: statistics, economics, applied mathematics, optimization, computer science, physics; advanced degree preferred
- 4+ years of experience leveraging analytics to measure marketing effectiveness with a focus on measurement and attribution
- 3+ years of experience in health and/or pharma
- Strong communication skills, with the ability to present information in spoken, written or visual form to a variety of audiences, from internal teams to external client executives
- Ability to manage your team's multiple client engagements running in parallel in balance with leading a high performing team
