Senior Data Scientist, Marketing

3 weeks ago
Full-time
Senior
Data Science and Analytics
Descript

Descript

Descript: All-in-one video & podcast editing with AI technology for effortless content creation.

Internet Software & Services
51-250
Founded 2017
$100M raised

Description

  • Develop channel-specific CAC targets that account for audience intent and funnel stage.
  • Iterate on attribution models while working within platform-reported limitations and first-party data availability.
  • Design and run incrementality experiments, including in-house conversion lift tests, with the performance marketing team.
  • Build AI-powered tools that automate routine marketing analyses and surface actionable insights.
  • Own the creation and ongoing refinement of marketing dashboards and reporting.
  • Deliver automated reporting on acquisition, retention, and monetization.
  • Create lead-scoring models to help sales and marketing prioritize high-value prospects.
  • Build campaign forecasting models to support monthly budget allocation.
  • Develop recommendation systems that use user behavior data to suggest optimal channel mix and budget allocation.
  • Collaborate with Marketing, Sales, Product, and Analytics Engineering to improve data quality, interpretability, and usability.

Requirements

  • 5+ years of experience in a data scientist or related role.
  • Bachelor's or Master's degree in a relevant field such as computer science, mathematics, or statistics.
  • Proficiency in SQL.
  • Proficiency in at least one programming language such as Python or R.
  • Deep understanding of ads platforms including Meta, Google, and Microsoft.
  • Experience with data enrichment and reverse ETL through a CDP such as Segment or Census.
  • Strong working knowledge of incrementality testing, randomized controlled experiments, and quasi-experiments.
  • Experience building in-house attribution models.
  • Proven success working with both product-led growth funnels and sales-led go-to-market motions.
  • Experience with AI tools and frameworks for marketing analytics and optimization.
  • Familiarity with LLMs and how they can be leveraged to enhance marketing insights.
  • Understanding of how to build and deploy AI-powered prediction models for user behavior and conversion.
  • Extreme ownership and resourcefulness to get things done.

Benefits

  • Base salary range of $170,000 to $208,000 per year.
  • Generous healthcare package.
  • 401(k) matching program.
  • Catered lunches.
  • Flexible vacation time.
  • Remote roles available in the US or hybrid roles in the San Francisco Bay Area.
  • Opportunities for in-person collaboration for remote employees throughout the year.

Interested in this position?

Apply directly on the company website

Apply Now

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