Senior Data Scientist Lead
7 days ago
About Haus
Haus is a pioneering decision science platform that empowers businesses in the modern digital landscape where data sharing and personal identifiable information (PII) are restricted. By leveraging cutting-edge causal inference-based econometric models, Haus conducts experiments to help brands understand the impact of their marketing, pricing, and promotional strategies on their bottom line.
Our team consists of experienced professionals from top companies like Google, Netflix, Amazon, and Meta who recognized the need for high-quality decision science tooling and incrementality testing. Our mission is to make this technology accessible to all businesses, taking care of experiment design, data cleaning, and analysis/insights for them.
The Role
We are seeking a Senior Economist/Applied Scientist to join our team. As a key member, you will be responsible for building and deploying models that consistently deliver high-quality results for our rapidly expanding base of enterprise clients. You will lead the research and development of the GeoLift model, focusing on feature enhancements that ensure accuracy, scalability, and significant business impact.
You will drive experimentation and A/B testing methodologies to 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.
Key Responsibilities
- Partner closely with our Customer Success team and science/product leads to answer questions, identify gaps, and find opportunities to improve our products.
- Develop scalable solutions to enable customers to interpret results, gain insights, and drive business decision-making.
- Own building solutions, models, and products, working cross-functionally with scientists, designers, and engineers to ingest customer data and deploy models/tools delivering meaningful results.
Requirements
- MSc/PhD in Economics, Statistics, Quantitative Marketing, or equivalent industry/academic experience.
- 5+ years as a Data Scientist 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.
About You
- You prioritize done over perfect, taking small steps towards solutions rather than large leaps.
- You take ownership, sharing responsibility with the team and doing what it takes to achieve success.
- You thrive in ambiguity and find ways to structure unstructured problems.
What We Offer
- Competitive salary: $170,000 - $190,000 per year.
- Top-of-the-line health, dental, and vision insurance.
- 401k plan.
- Tools and resources for productivity.
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