Software Engineer - Science Platform - San Francisco
Haus Analyticsabout 1 month ago
Base Salary
$165k - $205k/yr
Responsibilities
- Build and evolve data pipelines that aggregate and transform KPI data from BigQuery.
- Extend and maintain the statistical estimation library by implementing new estimators and optimizing performance.
- Improve the Metaflow-based analysis orchestration system for executing daily experiment analyses.
- Design reliable systems with monitoring, alerting, and self-healing patterns for autonomous pipelines.
- Collaborate with applied scientists to translate research prototypes into production-grade code.
- Ensure analysis results are published correctly and flow into the customer-facing API.
- Utilize AI development tools to accelerate delivery and explore solutions.
- Participate in on-call rotation and maintain the operational health of the science platform.
Requirements
- 3+ years of experience in building and shipping production software systems.
- Strong proficiency in Python, with experience in libraries like pandas, numpy, and pytest.
- Experience with data-intensive applications, including large datasets and ETL systems.
- Proficient in SQL and analytical databases such as BigQuery or Snowflake.
- Comfortable with cloud-native environments, preferably GCP.
- Experience with workflow orchestration frameworks like Metaflow or Airflow is a plus.
- Ability to collaborate effectively with scientists and researchers.
- Excellent communication skills to explain technical tradeoffs clearly.
Benefits
- Flexible PTO to take time when needed.
- Equity options for part-ownership in the company's success.
- Comprehensive health, dental, and vision insurance with multiple plan options.
- WFH stipend to support a productive work setup.
- Opportunities for events and offsites to connect with the team.
- Free lunch when working from the office in hub locations.
Tech Stack
Apache AirflowGoogle BigQueryGoogle Cloud PlatformKubernetesNumPyPandaspytestPythonscikit-learnSciPySnowflakeSQL
About Haus Analytics
Haus is the causal marketing platform top businesses trust to optimize billions in ad spend worldwide. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. Haus was named a LinkedIn Top Startup in 2024 and 2025 and has been featured in outlets like AdExchanger, Axios, Business Insider, Marketing Brew, and Wall Street Journal.