Senior Marketing Data Scientist

About the Role

Key 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

Requirements

• 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

Nice to Have

• Experience working in a high-growth organization
• Knowledge of health or consumer-focused industries
• Experience with large-scale data analysis and complex modeling

Qualifications

• Educational background in statistics, econometrics, mathematics, data science, or a related field

Benefits & Perks

• Competitive base salary ranging from $160,000 to $216,000
• Discretionary performance-based bonus
• Stock awards
• Healthcare, disability & retirement benefits
• Paid holidays and paid leave
• Wellness programs
• Hybrid work model with 2 days a week on-site in New York, NY