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Data Scientist - Marketing Science - Remote

Posted 1 week ago
Data Analysis
Full Time
Worldwide

Overview

As a Data Scientist at Haus, you will drive impactful insights through advanced analytics and causal inference methodologies, helping brands navigate the evolving landscape of digital marketing.

In Short

  • Proactively identify key business and research questions.
  • Develop robust economic and statistical frameworks.
  • Leverage advanced methodologies for hypothesis testing.
  • Conduct in-depth analyses of large datasets.
  • Communicate findings to technical and non-technical audiences.
  • Produce high-quality research documentation and specifications.
  • Publish thought leadership pieces on causal inference.
  • Collaborate with diverse teams to align on strategies.
  • Stay at the cutting edge of technology and analytics.
  • Take a self-driven approach to problem-solving.

Requirements

  • 3+ years in a Data Scientist role.
  • Experience in adtech or marketing measurement.
  • Hands-on experience with experiment design.
  • Proficiency in Python and modern data pipelines.
  • Strong coding and troubleshooting skills.
  • Effective communication and collaboration skills.
  • Forward-thinking mindset with a willingness to experiment.

Benefits

  • Competitive salary and startup equity.
  • Top of the line health, dental, and vision insurance.
  • 401k plan.
  • Tools and resources to enhance productivity.
Haus logo

Haus

Haus is a cutting-edge marketing science platform dedicated to helping brands optimize their marketing expenditures with scientific accuracy. With over $360 billion spent annually on paid advertising in the U.S., Haus addresses the common challenge of wasted ad spend by enabling marketers to identify and reallocate resources effectively for maximum growth. Founded by a team of experienced professionals from leading tech companies like Google, Netflix, and Meta, Haus automates complex processes such as experiment design and data analysis, empowering businesses of all sizes to make informed, data-driven decisions. The company is experiencing rapid growth, backed by top-tier venture capital firms, and has been recognized as one of the exceptional startups of 2024.

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