Description:

Haus is a marketing science platform that helps brands measure and maximize the business impact of their marketing spend with scientific precision.
The company aims to help marketers identify wasted advertising spend and re-allocate it to maximize growth.
The role involves driving high-impact projects for advanced marketing planning, analysis, and optimization using optimization, machine learning, and causal inference.
Responsibilities include leading or contributing to the design, development, optimization, and production of machine learning solutions for complex problems.
The position requires implementing probabilistic techniques into reusable statistical libraries and building and maintaining ML systems that power Haus’ product lines.
The candidate will review code and designs of teammates and provide constructive feedback.
Collaboration with engineering and cross-functional partners across product, engineering, and science teams is essential to drive system development from ideation to production.

Requirements:

A PhD or equivalent experience in Computer Science, Engineering, Mathematics, or a related field is required.
The candidate must have 5+ years of industry experience as an Applied Scientist/Machine Learning Engineer, specifically in building and operating production ML systems.
Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design is necessary.
The candidate should have experience working with cross-functional teams, including product, science, and product operations.
Proficiency in one or more object-oriented programming languages such as Python, Go, Java, or C++ is required.
It is preferred that candidates have 7+ years of industry experience in machine learning, including building and deploying ML models.
Experience with modern deep learning architectures, probabilistic modeling, and optimization techniques is a plus.
Familiarity with data science or machine learning approaches in marketing and growth is also desirable.

The salary for this position ranges from $180,000 to $240,000 a year, determined by role and level, as well as job-related skills, experience, and relevant education or training.
The compensation details reflect the base salary only and do not include equity or benefits.
Haus is an equal opportunity employer, making employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.