Data Scientist - Product Analytics

Summary

Join Haus, a marketing science platform, as their first data scientist on the product team. You will be a thought partner to the product team, using data to shape decisions and drive the product roadmap. This role involves more than just SQL queries and dashboards; it requires overseeing UI/UX, predicting customer churn, analyzing advertising budget allocation, extracting cross-customer insights, identifying user friction points, and building a foundational data stack. The ideal candidate is relentlessly curious, data-driven, and possesses strong communication skills. Haus offers competitive salary and equity, top-tier health benefits, a 401k plan, and necessary resources for productivity.

Requirements

• Bachelor’s degree in a quantitative field
• Expertise in SQL and proficiency in at least one object-oriented language (Python, Java, etc.)
• You dream in SQL
• You’re relentlessly curious and skeptical of data—always questioning assumptions and digging deep
• You take initiative, spotting opportunities and running with them
• You tell compelling stories with data (and you have strong opinions about bad visualizations)
• You prioritize impact, always focusing on what moves the business forward

Responsibilities

• Oversee the overarching UI/UX of the product, while going deep on certain projects
• What early signals predict customer churn, and how can we prevent it?
• How do customers use our platform to allocate their advertising budgets?
• Can we extract cross-customer insights from the experiments they run?
• Where do users encounter friction, and how can we eliminate it?
• How do we build a foundational data stack that accelerates future analyses?

Preferred Qualifications

• Experience with dbt
• Experience with CDPs (e.g. Rudderstack)

Benefits

• Competitive salary and startup equity
• Top of the line health, dental, and vision insurance
• 401k plan
• Provide you with the tools and resources you need to be productive (new laptop, equipment, you name it)