Economist - Applied Scientist
September 17
Description
• Partner closely with our current and prospective enterprise customers and Haus science and product leads to answer questions and identify gaps and pain points. • Develop and implement novel solutions to empower our customers to find answers to important business questions and help drive decision making. These solutions could develop into full products and expand Haus's product suite. • Own building solutions, models, and products, while working cross-functionally with scientists and engineers to ingest customer data and deploy models and tools that deliver meaningful results on a regular cadence. Leverage best practices like tests, validations, monitoring, and alerting, to ensure high quality outputs and experiences for a growing number of enterprise customers.
Requirements
• MSc/PhD in Economics, Statistics, Quantitative Marketing, or equivalent industry/academic experience • 2+ years working in an Economist / Data Scientist / Applied Scientist role building science models/products for production environments • Proven experience in causal inference, statistics, and machine learning • Demonstrated ability to work with customers and/or cross functional stakeholders • Experience coding and troubleshooting models built for deployment • Experience working with Python and SQL
Benefits
• Competitive salary and early startup equity • Top of the line health, dental, and vision insurance • 401k plan • Tools and resources you need to be productive (new laptop, equipment, you name it)
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