Data Science Solutions Architect
3 days ago
About Haus, a cutting-edge decision science platform:
Haus revolutionizes the new digital privacy paradigm by harnessing frontier causal inference based econometric models to drive business outcomes. Our team of experts from Google, Netflix, Amazon, and Meta craft high-quality decision science tooling and incrementality testing, making it accessible to all businesses.
Partner with our enterprise customers to develop tailored solutions and products that address their unique challenges. Collaborate with economists, applied scientists, and engineers to design and implement novel solutions that deliver meaningful results. Leverage best practices like testing, validation, monitoring, and alerting to ensure high-quality outputs and experiences for a growing customer base.
We're seeking an experienced Data Scientist or Economist with expertise in causal inference, statistics, and machine learning to join our team. You will work closely with customers, cross-functional stakeholders, and our engineering team to build and deploy models that drive business value.
Key responsibilities include:
- Developing and implementing novel solutions to empower customers and drive decision-making
- Collaborating with customers and stakeholders to identify gaps and pain points
- Designing and deploying models that deliver meaningful results on a regular cadence
You'll be working with Python, SQL, and other tools to build and maintain complex models and systems.
We offer competitive salaries ranging from $150,000 to $180,000 per year, plus top-of-the-line health insurance, 401k plan, and tools and resources to support your productivity.
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