Haus is a marketing science platform that helps brands measure and maximize the business impact of their marketing spend with scientific precision.
The company aims to help marketers identify wasted advertising spend and re-allocate it to maximize growth.
Haus was founded by a team of former product managers, economists, and engineers from notable companies like Google, Netflix, and Meta.
The company automates experiment design, data processing, and insights generation to empower customers to make profitable, data-driven decisions.
The role of Data Scientist - Product Analytics involves being a thought partner to the product team, using data to shape decisions and drive the product roadmap.
Responsibilities include overseeing the UI/UX of the product, predicting customer churn, analyzing customer platform usage, extracting cross-customer insights, identifying user friction points, and building a foundational data stack for future analyses.
This position reports directly to the Head of Product and is the first data scientist on the product team.
Requirements:
Candidates must have 3+ years of experience in product analytics.
A Bachelor’s degree in a quantitative field is required.
Expertise in SQL and proficiency in at least one object-oriented programming language (such as Python or Java) is necessary.
The ideal candidate should be curious and skeptical of data, always questioning assumptions and digging deep.
Initiative is important; candidates should be able to spot opportunities and act on them.
Strong storytelling skills with data and a critical view on data visualizations are essential.
A focus on impact and business advancement is crucial.
Benefits:
Haus offers a competitive salary and startup equity.
Employees receive top-of-the-line health, dental, and vision insurance.
A 401k plan is provided.
The company supplies the necessary tools and resources for productivity, including a new laptop and equipment.
