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Economist / Applied Scientist, Experimentation

March, 05

  • usaMountain View, CA
  • usaFull-time
  • usaScience
  • usaRemote
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Overview: - Haus is a decision science platform focusing on digital privacy and restricted data sharing. - Utilizes frontier causal inference econometric models for marketing, pricing, and promotions impact analysis. - Aims to provide accessible high-quality decision science tools to businesses. - Collaborates with well-known brands, achieving significant ROI through experiments. Key Responsibilities: - Work with enterprise customers to understand problems and develop solutions. - Develop and implement novel solutions, potentially creating full products. - Own and maintain models, products, and solutions, ensuring quality through best practices. - Collaborate with economists, scientists, and engineers for data ingestion and model deployment. Requirements/Skills/Qualifications: - MSc/PhD in Economics, Statistics, Quantitative Marketing, or equivalent experience. - Minimum 2 years in Economist/Data Scientist/Applied Scientist roles. - Proven experience in causal inference, statistics, and machine learning. - Strong customer interaction and cross-functional collaboration skills. - Experience with Python and SQL. Compensation & Benefits: - Salary range: $150,000 - $175,000 annually. - Competitive benefits package including health, dental, vision insurance, and 401k plan. - Tools and resources provided for productivity. - Haus is an equal opportunity employer. (Note: The compensation details provided are base salary only and do not include equity or additional benefits.)
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