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Marketing Data Scientist - Remote

Posted Yesterday
Data Analysis
Full Time
CA, USA
$144,000 - $192,000/year

Overview

Descript is seeking a strategic and hands-on Marketing Data Scientist to join our Growth team, partnering closely with the Performance marketing team to optimize marketing performance and enable smarter business decisions through data.

In Short

  • Define and evolve marketing measurement frameworks.
  • Drive incrementality measurement and design conversion lift experiments.
  • Build AI-powered tools for routine marketing analyses.
  • Own the creation and refinement of marketing dashboards.
  • Lead modeling and forecasting initiatives for campaign performance.
  • Collaborate with various teams to ensure data quality and usability.
  • Identify trends and opportunities through data analysis.
  • Champion high standards for experimentation and measurement.
  • 5+ years of experience in a data scientist or related role.
  • Proficient in SQL and programming languages like Python or R.

Requirements

  • Deep understanding of ads platforms and data enrichment.
  • Experience with incrementality testing and attribution models.
  • Proven success in product-led and sales-led growth funnels.
  • Familiarity with AI tools for marketing analytics.
  • Bachelor's or Master's degree in a relevant field.

Benefits

  • Generous healthcare package.
  • Catered lunches.
  • Flexible vacation time.
Descript logo

Descript

Descript is an innovative company focused on creating a next-generation AI-powered platform for seamless audio and video content creation. With a team of 150 and backed by prominent investors like OpenAI and Andreessen Horowitz, Descript is dedicated to building intuitive editing tools that leverage AI technology. The company values a flat organizational structure, allowing every team member to contribute significantly to its growth. Located in the Mission District of San Francisco, Descript offers a collaborative work environment with flexible vacation policies and a commitment to diversity and equal opportunity in the workplace.

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