Design, develop, and deploy machine learning solutions to tackle the many economic challenges in our complex marketplace
Collaborate closely with product managers, data scientists, and other engineers to deeply understand business needs and create impactful solutions
Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models
Mentor junior economists, set technical direction, and conduct thorough code reviews to ensure high code quality and maintainability. Lead by example in fostering a culture of continuous improvement and technical excellence

Requirements

A PhD in economics
3+ years of industry experience using machine learning to solve economic problems in large technology companies
A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one
A deep understanding of machine learning algorithms and techniques, with fluency in modern research and literature
Strong programming skills in software engineering (e.g., Python), along with expertise in data manipulation using tools (e.g., SQL and Pandas) and modern machine learning packages
Excellent communication skills (both verbal and written) and proven expertise in collaborating with a diverse group of stakeholders across all levels, including leadership
Experience designing and implementing production-grade ML systems and services

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningeconomic theoryapplied econometricsprogrammingPythondata manipulationSQLPandasmachine learning algorithmsproduction-grade ML systems

Soft Skills

communicationcollaborationmentoringtechnical directioncode reviewscontinuous improvementtechnical excellence

Certifications

PhD in economics