
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
October 22
🇺🇸 United States – Remote
💵 $220k - $240k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
Amazon Redshift
AWS
BigQuery
Cloud
Distributed Systems
Google Cloud Platform
Java
Python
Scala
SQL
Terraform
Go

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
• Build data solutions on top of Google Cloud Platform using Python and other languages as appropriate. • Contribute to the technical direction and development of Haus’ data infrastructure, tools, and applications. • Create and maintain data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs. • Work closely with science, machine learning, and engineering teams to support the development of new data pipelines. • Develop and support data quality checks at scale, implementing alerting and anomaly detection as necessary. • Create scalable dashboards and reports to support business objectives and enable data-driven decision making. • Partner with data scientists, engineers, and product teams to accomplish all of the above!
• 4-7+ years of experience as a Software Engineer. • Experience building and deploying products that rely on large-scale distributed systems in Python or Go, Scala/Java, or other similar languages. • Third party integrations - API are your bread and butter. • Experience with cloud infrastructure (Google Cloud, AWS, etc). • Experience working with SQL databases. • Earlier stage startup experience (bonus points). • Experience with build systems and infrastructure management tooling like Terraform (bonus points). • Experience with data warehouses: Snowflake, BigQuery, RedShift (bonus points). • BS/MS/PhD in Computer Science, Applied Mathematics or a related field (bonus points).
• 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
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