Marketing Science Lead | Growth

Deel Deel · Enterprise · NORTH AMERICA · S&M

Deel is seeking a Growth Marketing Science Lead to optimize their $100M+ annual marketing spend through rigorous statistical validation and experimentation. This role will design and lead A/B testing roadmaps, provide data-backed strategic guidance to paid marketing teams, discover new growth levers, experiment with ad platform alpha/beta features, refine attribution models (MTA, MMM), and partner with analytics engineering to build data infrastructure for tracking experiment lift. The ideal candidate has 5+ years of experience in data analytics or growth marketing, proficiency in SQL, Looker, and Snowflake, and a deep understanding of experimentation methodology.

What you'd actually do

  1. Experimentation Roadmap: Design and lead a high-velocity A/B and multivariate testing roadmap across channels, campaign types, ad creatives and audience segments.
  2. Strategic Guidance: Serve as the "strategic pulse" for the Paid Marketing team. Provide data-backed briefs that tell Channel Managers exactly where to pivot spend based on test winners.
  3. Opportunity Discovery: Go beyond standard reporting to "mine" data for untapped growth levers. Identify patterns that haven't been scaled and propose the business case for expansion.
  4. Platform Alpha & Best Practices: Stay at the bleeding edge of ad platform capabilities (Google, Meta, LinkedIn). Experiment with "alpha/beta" features (e.g., Value-Based Bidding, PMax experimentation) to ensure our stack is consistently ahead of industry benchmarks.
  5. Advanced Attribution: Continuously refine our multi-touch attribution (MTA) and Media Mix Modeling (MMM) models to measure the incremental impact of non-linear B2B buyer journeys.

Skills

Required

  • SQL
  • Looker
  • Snowflake
  • experimentation methodology
  • sample size calculation
  • p-values
  • confidence intervals

Nice to have

  • dbt

What the JD emphasized

  • high-spend B2B environment
  • rigorous statistical validation
  • high-velocity A/B and multivariate testing
  • data-backed briefs
  • untapped growth levers
  • alpha/beta features
  • multi-touch attribution (MTA) and Media Mix Modeling (MMM)