Noom US-posted 4 months ago
$160,000 - $216,000/Yr
Full-time • Senior
New York, NY
1,001-5,000 employees

As we continue to grow, we’re seeking a Senior Marketing Data Scientist to optimize marketing effectiveness, forecast the impact of ad spend, and enhance our attribution models. This role is ideal for someone with a strong background in statistics and machine learning, particularly within marketing analytics and forecasting.

  • 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
  • 5-7+ years of experience in marketing analytics or data science, ideally in a B2C environment
  • 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
  • Experience collaborating cross-functionally with marketing, finance, and external vendors
  • Background in statistics, econometrics, mathematics, data science, or a related field
  • Discretionary performance-based bonus
  • Stock awards
  • Healthcare benefits
  • Disability benefits
  • Retirement benefits
  • Paid holidays
  • Paid leave
  • Various wellness programs
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