Job Description

Haus is a marketing science platform that helps brands measure and maximize the business impact of their marketing spend. This role involves driving high-impact projects for advanced marketing planning, analysis, and optimization using optimization, machine learning, and causal inference.

Responsibilities

• Drive initiatives from concept to final product delivery
• Lead or contribute to the design, development, optimization, and product ionization of machine learning solutions
• Implement probabilistic techniques into reusable statistical libraries
• Build and maintain the ML systems that power Haus’ product lines
• Review code and designs of teammates
• Lead and collaborate with engineering and cross-functional partners

Requirements

• PhD or equivalent experience in Computer Science, Engineering, Mathematics or related field
• 5+ years of industry experience as an Applied Scientist/Machine Learning Engineer
• Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design
• Experience working with cross-functional teams
• Proficiency in one or more object-oriented programming languages

Benefits

• No benefits