Haus (madeinhaus.com)

Haus (madeinhaus.com)

Software Engineer - Science Platform (BE) - New York

New York, NY

Sponsorship not specifiedDetected 12 days ago
PythonSQLBigQuerySnowflakeGCPKubernetesPlatform Engineeringscikit-learnPandasNumPyAirflowData EngineeringAI OrchestrationA/B TestingpytestResearchExperimental DesignCommunicationCollaboration

About the role

  • This is a backend and platform engineering role.
  • You'll work primarily in Python across a set of tightly integrated repositories: a statistical estimation library, a science orchestration library, and a Metaflow-based job execution system running on Kubernetes.
  • You won't be starting from a blank canvas - you'll be joining a production system that serves real customers and shipping improvements that compound.

Responsibilities

  • Build and evolve the data pipelines that fetch, aggregate, and transform KPI data from BigQuery across multiple geographies and granularities
  • Extend and maintain the statistical estimation library - implement new estimators, improve standard error methods, and optimize performance for large panel datasets
  • Design for reliability: build monitoring, alerting, and self-healing patterns for pipelines that run autonomously every day
  • Collaborate closely with applied scientists to translate research prototypes into production-grade code with proper testing, error handling, and observability
  • You'll build and maintain the platform that powers how the world's leading brands measure the true causal impact of their marketing spend.
  • Haus is the incrementality platform leading brands trust to optimize billions in ad spend worldwide.
  • With a founding team of former product managers, economists, and engineers from Google, Netflix, Meta, and Amazon, we make high-quality decision science, incrementality testing, and causal marketing mix modeling accessible to businesses of all sizes-automating the heavy lifting of experiment design, data processing, and insights generation.
  • Haus is well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, Haystack, and others.
  • If you thrive in ambiguity, take pride in raising the bar, and want to work alongside top-tier peers who challenge and support you, you'll find unmatched opportunities here.

Requirements

  • 3+ years of experience building and shipping production software systems
  • Must have strong Python proficiency - you write clean, well-tested Python and are comfortable with the ecosystem (pandas, numpy, pytest, poetry)
  • Experience with data-intensive applications: you've worked with large datasets, data pipelines, or ETL systems and understand the tradeoffs
  • Experience with SQL and analytical databases (BigQuery, Snowflake, or similar) - you can write performant queries and understand how warehouse-scale data processing works
  • Excellent communication skills - you can explain technical tradeoffs clearly and work effectively across disciplines
  • Experience with Kubernetes and containerized workloads
  • Experience with event-driven architectures (Pub/Sub, message queues)
  • Experience with experimentation platforms, A/B testing infrastructure, or causal inference systems
  • Experience working across multiple interconnected repositories with coordinated release cycles

Nice to have

  • Comfort with cloud-native environments (GCP preferred): you understand how to deploy, monitor, and operate services in production
  • Experience with workflow orchestration frameworks (Metaflow, Airflow, Dagster, Prefect, or similar) is a strong plus

Skills

  • a statistical estimation library, a science orchestration library, and a Metaflow-based job execution system running on Kubernetes.

Compensation

  • Over $360B is spent annually on paid advertising in the US alone, and the famous quote "half the money I spend on advertising is wasted; the trouble is I don't know which half" still rings true.

Benefits

  • Some of our benefits include:
  • 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
  • New Parent Leave - take time to welcome your newest Hausmate
  • We make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.

Company info

  • Use AI development tools as part of your daily workflow to accelerate delivery and explore solutions
  • We care deeply about our customers and expect everyone to take full ownership of their work - this is a place where high expectations fuel even higher growth.

Equal opportunity

  • Haus is an equal opportunity employer.
Apply directly at Haus (madeinhaus.com) →Create a free account for alerts like thisView Haus (madeinhaus.com) immigration profile

This listing is sourced directly from Haus (madeinhaus.com)'s careers page and normalized into a canonical job model.