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Senior Data Science Manager, Growth & Retention Marketing

Lead a team of data scientists advancing marketing capabilities through ML model development, causal inference, and LLM integration to drive growth and retention outcomes. Requires 7+ years in data science, 5+ years in marketing/revenue analytics, and 3+ years managing data scientists.

180k – 210kAtlanta, GAData ScienceRemote7+ YOE

About the role

Responsibilities

  • Lead a team of data scientists focused on retention and acquisition marketing
  • Oversee development and maintenance of production-grade machine learning models (customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, attribution)
  • Manage marketing data analysis projects using causal inference frameworks to assess impact and drive outcomes
  • Integrate LLMs into data and operations workflows to increase throughput and scale
  • Mentor junior team members and enhance analytical rigor
  • Manage projects to ensure deadlines, objectives, and business impact are met
  • Collaborate with senior leadership to align marketing data science efforts with company and marketing goals

Requirements

  • 7+ years of experience in data science & analytics
  • 5+ years of experience in a marketing, customer, or revenue data-related role
  • 3+ years of experience managing or mentoring data scientists, analysts, or engineers
  • Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or related field (advanced degree preferred)
  • Proven experience building and implementing production-grade machine learning models in an operations support capacity
  • Proven experience leveraging causal inference frameworks (difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes
  • Exceptional communicator with experience presenting to senior leadership
  • Ability to influence cross-functional partners (Marketing, Finance, Product)
  • Comfortable balancing hands-on work with team leadership

Technical Skills

  • Strong statistical proficiency
  • Python for statistical computing, model development, and data visualization
  • Advanced SQL

Benefits

  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

Skills

PythonSQLMachine LearningCausal InferenceStatistical AnalysisData VisualizationMedia Mix ModelingCustomer Lifetime ValueMulti-Armed BanditsAttribution Modeling

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