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Staff Software Engineer, Data - Planning

March, 23

  • usaRemote
  • usaFull-time
  • usaEngineering
  • usaRemote
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Overview: - Haus is a decision science platform focused on digital privacy, utilizing frontier causal inference econometric models. - The platform aims to help brands optimize marketing strategies and improve ROI. - Haus is recognized as an exceptional startup for 2025. Key Responsibilities: - Build and maintain the Causal Marketing Mix Model (cMMM) for advertising investment allocation. - Design, build, and troubleshoot data pipelines for data onboarding and analysis. - Own and manage the onboarding of various data types and providers. - Address data discrepancies and enhance the shared data platform. - Mentor team members on data operations and model outputs. Requirements/Skills/Qualifications: - Minimum 7 years of software engineering experience. - Proficiency in Python, Go, Scala/Java, and experience with distributed systems. - Familiarity with cloud infrastructure (Google Cloud, AWS), SQL databases, and data warehouses (Snowflake, BigQuery, RedShift). - Experience with data workflow orchestration tools (Dagster, Airflow). - BS/MS/PhD in Computer Science, Applied Mathematics, or related fields. - Strong communication skills and ability to improve and design solutions. - Bonus points for startup experience, Terraform knowledge, and data orchestration experience. Compensation & Benefits: - Salary range: $200,000 - $230,000 annually. - Competitive benefits package including health, dental, vision insurance, and a 401k plan. - Provided with necessary tools and resources for productivity. - Small team environment with significant impact potential. Note: The compensation details provided do not include equity or additional benefits. Haus is an equal opportunity employer.
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