Johnson & Johnson's Vision team is seeking to optimize marketing and campaign strategies to improve performance and sales by evaluating their effectiveness and identifying the best measurement frameworks.
Requirements
- Proven experience with Regression Analysis, Marketing Mix Modeling (MMM), and other advanced statistical techniques.
- Advanced knowledge of R and Python for data manipulation, analysis, and modeling.
- Experience interpreting and communicating analytic results to analytical and non-analytical business partners
- Familiarity with marketing analytics platforms (e.g., Google Analytics, Adobe Analytics, etc.) is a plus.
- Hands-on experience with software frameworks or cloud platforms (e.g., AWS, GCP, or Azure).
- A deep understanding of causal inference techniques like Propensity Scoring and Instrumental Variables.
- Previous experience applying open-sourced MMM frameworks like Meta’s Robyn
Responsibilities
- Lead the creation and maintenance of Marketing Mix Models (MMMs) to assess the contribution of various marketing channels to sales.
- Design and execute Randomized Controlled Trials (RCTs) to evaluate the causal impact of marketing and campaign tactics.
- Implement observational studies to inform decision-making when experimentation is not feasible.
- Assess and deploy appropriate measurement methods (e.g., experimental vs. observational) based on the business question, data structure, and context.
- Translate model outputs and analytical findings into actionable recommendations for the marketing and sales teams.
- Build reproducible pipelines and robust scripts using R and Python to automate workflows.
- Create compelling dashboards and visualizations for non-technical stakeholders to understand performance insights clearly.
Other
- Master’s Degree / PhD + 2 years’ experience, OR Bachelor’s Degree + 4 years’ experience
- Educational degree in quantitative field, such as Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, and/or related quantitative
- Ability to travel both domestically and internationally may be required (~5-10%).
- Ability to flex hours to accommodate multiple time zones when necessary.
- Experience working in large matrixed organization, with Global footprint
