Senior/Staff Software Engineer - Causal Marketing Mixed Model - Remote

Overview

Haus is a pioneering decision science platform focused on the new digital privacy paradigm, utilizing advanced econometric models to assist brands in understanding the impact of their marketing actions.

In Short

• Build the Causal Marketing Mixed Model (cMMM) for advertising investment allocation.
• Develop scalable data onboarding and automated data ingestion pipelines.
• Translate model outputs into actionable insights for customers.
• Work with a team of experienced engineers and product managers.
• Contribute to high-quality decision science tooling.
• Engage with well-known brands to maximize their marketing effectiveness.
• Focus on improving existing solutions and designing new ones.
• Collaborate with cross-functional teams to deliver results.
• Drive customer acquisition through data-driven strategies.
• Be part of a mission to democratize decision science technology.

Requirements

• Strong software engineering skills.
• Experience with machine learning and data pipelines.
• Excellent communication skills.
• Ability to work in a fast-paced environment.
• Experience in marketing analytics is a plus.
• Proven track record of delivering scalable solutions.
• Ability to translate complex data into business value.
• Experience with econometric models is advantageous.
• Passion for building innovative products.
• Team player with a collaborative mindset.

Benefits

• Opportunity to work with top brands.
• Be part of a growing company with a strong mission.
• Collaborate with a talented team from leading tech companies.
• Flexible work environment.
• Competitive salary and benefits.
• Professional development opportunities.
• Work on cutting-edge technology.
• Impactful work that drives business decisions.
• Supportive company culture.
• Access to top venture capital backing.