Senior Data Scientist - Customer Facing

February 27

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $140k - $175k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Haus

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Haus is a marketing science platform that helps businesses measure the incrementality of their advertising efforts, both online and offline. It provides tools like GeoLift and Causal Attribution to optimize marketing campaigns and investments. Haus enables businesses to conduct experiments to evaluate the impact of their advertising spend, offering insights that drive smarter marketing decisions. By employing advanced econometric models, Haus helps companies accurately assess their marketing's incremental value, ultimately leading to better investment strategies and higher returns.

11 - 50 employees

☁️ SaaS

💰 $4M Venture Round on 2022-06

📋 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 Customer Success leaders to scale 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 Customer Success, Science, Engineering, and Product teams, you will develop solutions to ensure robust, reliable results and seamless communication at scale. • The ideal candidate is a seasoned analyst who is comfortable diving deep into data analysis and communicating actionable insights to diverse audiences. You will be instrumental in developing solutions that drive customer value and establish best practices for results robustness, process efficiency, and technical clarity. You thrive in dynamic environments, enjoy working with cross-functional stakeholders, and are passionate about continually improving processes. As a senior contributor, you will lead by example, mentoring junior analytical leads, establishing best practices, and fostering a culture of technical excellence and collaboration. • Please apply if you want to provide real value, learn new things, and own critical components of a growing data science product.

🎯 Requirements

• Degree in Economics, Statistics, Data Science, or related field. • 5+ years working in a Data Scientist/Analyst role. • Strong communication skills with the ability to synthesize complex technical concepts concisely and precisely. • Proven ability to present to customers and/or cross-functional stakeholders. • Experience coding and troubleshooting statistical models. • Experience working with Python and SQL. • Experience with marketing measurement (specifically regional testing) is preferred

🏖️ Benefits

• 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)