As a Data Scientist, you will analyze product usage, predict customer churn, drive product strategy, and support the product team with data insights.
About Haus
Haus is a marketing science platform that helps brands measure and maximize the business impact of their marketing spend with scientific precision. Over $360B spent annually on paid advertising in the US alone, and the famous quote “half the money I spend on advertising is wasted; the trouble is I don't know which half” still rings true. Haus helps marketers identify which half, and re-allocate it to maximize growth.
Haus was built by a team of former product managers, economists, and engineers from Google, Netflix, Meta, and others to make high-quality decision science accessible to businesses of all sizes. By automating the heavy lifting of experiment design, data processing, and insights generation, we empower our customers to make more profitable, data-driven decisions. We hear our customers frequently rave about our product, for example "we've seen north of 10x ROI on our annual investment in Haus in the first 2 months alone.”
Haus is on a hypergrowth trajectory, well-capitalized, and backed by top-tier VCs including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized and has made the list for 2025's exceptional startups!
What You'll Do
We’re looking for a data scientist who thrives at the intersection of analytics and strategy. This role goes beyond writing SQL queries and building dashboards—you’ll be a thought partner to the product team, using data to shape decisions and drive the product roadmap.
If the following questions excite you, this might be the right role for you:
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?
This role will report directly into the Head of Product and will be the first data scientist on the product team.
Qualifications:
- 3+ years experience in product analytics
- Bachelor’s degree in a quantitative field
- Expertise in SQL and proficiency in at least one object-oriented language (Python, Java, etc.)
About You:
- 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
Bonus Points:
- Experience with dbt
- Experience with CDPs (e.g. Rudderstack)
What We Offer:
- 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)
Haus is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Top Skills
Dbt
Java
Python
Rudderstack
SQL
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