Offer summary

Qualifications:

2+ years of experience in a Data Scientist or Analyst role, or a data-intensive consulting role., Strong communication skills to convey complex technical concepts to diverse audiences., Proficiency in analytical tools like Looker, Tableau, and dbt, as well as programming languages such as Python and SQL., Familiarity with marketing measurement methodologies, especially geo-based testing, is a plus..

Key responsibilities:

Partner with Measurement Strategy, Science, and Product teams to analyze gaps in modeling and results delivery.

Develop and implement solutions to enhance workflows, visualizations, and metrics for high-quality insights.

Act as a trusted advisor to customers, interpreting test results and scientific methodologies into actionable recommendations.

Collaborate across teams to ensure robust results and effective communication at scale.

Job description

About Haus

Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Haus uses frontier causal inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the bottom line. Our team is comprised of former product managers, economists and engineers from Google, Netflix, Amazon and Meta who saw how costly it is to support high-quality decision science tooling and incrementality testing. Our mission is to make this technology available to all businesses, where all the heavy lifting of experiment design, data cleaning, and analysis/insights are taken care of for you. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions. We are backed by top VCs like Insight Partners, 01 Advisors, Baseline Ventures, and Haystack.

What you'll do

You will partner directly with the Measurement Strategy team to support the delivery and interpretation of results from our cutting-edge science platform to meet fast growing customer demands. You will serve as a trusted advisor to our customers, focusing on driving value and confidence in results. Collaborating across Measurement Strategy, Science, Engineering, and Product teams, you will develop solutions to ensure robust, reliable results and seamless communication at scale.

The ideal candidate is excited to dive deep into the data and communicate actionable insights to diverse audiences. You will be instrumental in delivering solutions that drive customer value and increase results robustness, process efficiency, and technical clarity. You thrive in dynamic environments, enjoy collaborating with cross-functional stakeholders, and are passionate about continually improving processes and helping customers unlock the full value of our platform.

Please apply if you want to provide real value, learn new things, and own the delivery of critical insights on a growing data science product.

Responsibilities

Partner closely with our Measurement Strategy, Science, and Product leads to deliver analyses on gaps and pain points in our modeling and results delivery process.

Develop and implement solutions to up-level existing workflows, visualizations, and metrics to bring high-quality insights at scale to all of our customers.

Serve as a trusted advisor to our customers on interpretation of test results and scientific methodology, distilling complex statistical / econometrics concepts into actionable recommendations.

Qualifications

2+ years working in a Data Scientist / Analyst role, or a data-intensive consulting role with a focus on delivery, process, or execution.

Strong communication skills with the ability to synthesize complex technical concepts concisely and precisely to customers and/or cross-functional stakeholders.

Proficiency with analytical tools such as Looker, Tableau, dbt.

Proficiency in languages such as Python and SQL.

Familiarity with marketing measurement methodologies, particularly geo-based or regional testing, is a plus.

About you

Done is better than perfect - you take small exploratory steps rather than large precise leaps toward solutions.

Act like an owner - you take shared responsibility for team success. You bring attention-to-detail and rigor to model and data deep dives.

Be curious - you’re eager to test new ideas and solve novel problems.

What we offer

Competitive salary and startup equity

Top of the line health, dental, and vision insurance

401k plan

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.

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