Senior Data Scientist

September 26

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Haus

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💰 $4M Venture Round on 2022-06

Description

• About Haus • Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted • Haus uses frontier causal inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the bottom line • As a Senior Data Scientist, you will own building models and collaborating with engineers to effectively integrate customer data, deploying models that consistently deliver high-quality results for a rapidly expanding base of enterprise clients • You will lead the research and development of the GeoLift model, our core offering, focusing on feature enhancements that ensure accuracy, scalability, and significant business impact • By driving experimentation and A/B testing methodologies, you will facilitate rigorous statistical evaluations of business outcomes • Additionally, you will provide scientific leadership, fostering a robust knowledge base in causal modeling while building and mentoring a growing team of scientists • Staying attuned to industry trends and emerging technologies, you will recommend innovative tools and approaches to elevate our capabilities.

Requirements

• MSc/PhD in Economics, Statistics, Quantitative Marketing, or equivalent industry/academic experience • 5+ years working in a Data 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 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)