Senior Applied Scientist, New Products

October 22

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Haus

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SaaS • Marketing • Analytics

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

• Collaborate closely with cross-functional stakeholders to understand customer problems and develop novel solutions, specifically focusing on building solutions for causal inference use cases. • Work alongside with other scientists and engineers to develop these solutions into products on our platform that will benefit our growing customer base. • Drive the implementation of innovative solutions that empower our customers to answer important business questions and drive decision-making. • Own building solutions, models, and products while working cross-functionally with scientists and engineers to ingest customer data and deploy models and tools that deliver meaningful results on a regular cadence. • Champion best practices like tests, validations, monitoring, and alerting to ensure high quality experiences for a growing number of customers. • Partner closely with Haus science and product leads to develop scalable solutions to customer problems, enabling these solutions to become core products in Haus’ product suite.

🎯 Requirements

• MSc/PhD in a quantitative field such as Economics, Statistics, Applied Mathematics, or equivalent industry/academic experience. • 5+ years working in an Applied Scientist/Machine Learning Engineer role building science models and products for production environments. • Experience coding (Python/SQL) and troubleshooting models built for deployment. • Experience in statistics and machine learning. • Proven ability to tackle technically ambiguous problems and collaborate with cross-functional stakeholders. • Enthusiasm for learning or applying causal inference and econometrics, and for scaling causal inference models. • Strong communication skills with the ability to synthesize complex technical concepts concisely and precisely.

🏖️ Benefits

• Flexible PTO - take time when you need it! • Equity – Startup environment with part-ownership in our successes • Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best • WFH stipend to support the set up you need to be productive • Events & Offsites – opportunities to connect and celebrate in real life! • Free Lunch – Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle) • New Parent Leave – take time to welcome your newest Hausmate