Join Our Trailblazing Team as a Product Manager in Data Science at Haus!

At BackgroundHaus, we’re pioneering the decision science platform tailored for today’s digital privacy landscape, where data sharing is governed tightly and personal identifiable information (PII) is protected. Utilizing advanced causal inference and econometric models, Haus is dedicated to revolutionizing how brands gauge the effects of marketing, pricing, and promotions on their financial outcomes.

With a team that includes alumni from tech giants like Google, Netflix, Amazon, and Meta, Haus is committed to democratizing high-grade decision science tools and incrementality testing for businesses of all sizes. Our current collaborations include prestigious brands such as FanDuel, Sonos, and Hims & Hers, achieving over 30x ROI through actionable insights and data-driven strategies. Backed by leading venture capitalists such as Insight Partners, Baseline Ventures, and Haystack, Haus is at the forefront of shaping the future of data interpretation.

About This Role

We are looking for a visionary Product Manager with a robust background in econometrics, experimentation, and statistical modeling. This role involves close partnership with our team of PhD data scientists to design products that seamlessly convert scientific research into practical, actionable tools for our customers.

As a Product Manager at Haus, you will tackle essential questions, translating customer needs into data science solutions, ensuring reliability across our models, optimizing data collection to enhance model functionalities, and designing user-friendly interfaces that allow easy interaction with our insights. You will also have the responsibility of communicating statistical uncertainties in terms understandable to non-technical users.

Key Responsibilities

- Collaborate across teams including data science, engineering, sales, design, and customer success to craft a data science product roadmap.
- Develop products that integrate state-of-the-art econometric modeling to meet customer needs.
- Conduct customer discovery sessions to better understand and address customer requirements.
- Implement systems for tracking product performance and measuring success.
- Deepen your knowledge of the marketing and advertising analytics landscape to identify opportunities where Haus can provide unique, valuable tools.

Qualifications

- Proven experience (5-7 years) in Product Management or a related role demanding similar skill sets.
- Bachelor’s degree in Computer Science, Mathematics, Economics, Statistics, Finance, or a related field.
- Expertise in at least one of the following areas: machine learning, causal inference, econometrics, statistics, or experimentation.
- Outstanding communication skills with proficiency in distilling complex scientific concepts for non-technical audiences.

Nice to Have

- Experience in developing tools for marketing and advertising data analysis.
- Previous roles in data science.
- Advanced degrees (Master's/PhD) in Statistics or related technical fields.

About You

- You prioritize progress over perfection, preferring to take incremental steps towards solutions.
- Ownership is second nature to you; you thrive in collaborative environments and excel in ambiguous situations.
- Innovative and experimental, you embrace new ideas over traditional approaches.
- Organized and methodical, you excel in planning and executing strategies efficiently.

If you’re ready to make a significant impact in a cutting-edge company, Haus is looking for someone like you. As a Product Manager in our Data Science team, you’ll play a pivotal role in shaping the future of decision-making tools across industries.

How to Apply

To apply for this exciting role at Haus, please submit your resume and cover letter outlining your suitability for the role and your passion for data science and product development.

We look forward to your application and potentially welcoming you to our innovative team!