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Data Scientist - Customer Facing - Remote

Posted 11 weeks ago
Data Analysis
Full Time
Worldwide

Overview

The Data Scientist - Customer Facing role at Haus involves partnering with the Measurement Strategy team to deliver insights from a decision science platform, focusing on customer value and confidence in results.

In Short

  • Collaborate with Measurement Strategy, Science, and Product teams.
  • Serve as a trusted advisor for customers on test results interpretation.
  • Develop solutions to enhance workflows and visualizations.
  • Communicate complex statistical concepts clearly.
  • Drive process efficiency and technical clarity.
  • Work in a dynamic environment with cross-functional teams.
  • Provide actionable insights to diverse audiences.
  • Engage in continuous learning and improvement.
  • Contribute to a growing data science product.
  • Focus on delivering high-quality insights at scale.

Requirements

  • Degree in Economics, Statistics, Data Science, or related field.
  • 2+ years in a Data Scientist/Analyst role or data-intensive consulting.
  • Strong communication skills for technical concepts.
  • Proven presentation skills to stakeholders.
  • Experience with statistical models and troubleshooting.
  • Proficient in Python and SQL.
  • Preferred experience with causal inference.

Benefits

  • Competitive salary and startup equity.
  • Top health, dental, and vision insurance.
  • 401k plan.
  • Tools and resources for 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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