Noom is seeking a Senior Marketing Data Scientist to optimize marketing effectiveness, forecast the impact of ad spend, and enhance attribution models to drive growth through strategic, data-driven campaigns.
Requirements
- Strong proficiency in Python and SQL, with practical experience using Pandas, NumPy, and Jupyter Notebook
- Familiarity with documentation and development tools like Confluence, GitHub (including PRs), and Notion
- Deep understanding of machine learning and statistical methods for marketing analytics
- Expertise in Bayesian modeling and pattern recognition for forecasting and attribution
- Proven success in building and refining MTA and MMM models
- Background in statistics, econometrics, mathematics, data science, or a related field
Responsibilities
- Develop and improve Multi-Touch Attribution (MTA) models in collaboration with marketing channel managers and external vendors
- Build and refine Marketing Mix Models (MMM) to assess the contribution of various marketing channels to business outcomes
- Forecast the impact of marketing spend on customer signups across multiple product lines
- Analyze data and extract actionable insights, offering recommendations to both marketing and finance stakeholders
- Apply advanced statistical methods, including Bayesian modeling and pattern recognition, to improve forecasting accuracy
- Collaborate closely with the finance team on forecasting and projections to ensure model consistency and enhanced methodologies
- Work with large datasets using Python, SQL, and tools like Pandas and NumPy to derive insights
Other
- 5-7+ years of experience in marketing analytics or data science, ideally in a B2C environment
- Experience collaborating cross-functionally with marketing, finance, and external vendors
- Hybrid role, with 2 days a week on-site required in our New York, NY office
