Push the boundaries of online recommendation and optimization systems.
Develop and implement scalable and efficient models on large-scale datasets.
Address complex data science challenges in digital marketing.
Gather, synthesize, and interpret disparate quantitative information sources.
Collaborate with product management and engineering groups to develop new products and features.
Compose a winning culture built on collaboration.

Requirements

Solid expertise in machine learning, deep learning, and reinforcement learning.
Expertise in applying causal inference and experimentation techniques.
Ability to develop and enhance personalization using causal signals.
Proficiency in one or more programming languages such as Python.
Deep understanding of model serving, orchestration, and GPU resource management.
PhD or MS degree in Computer Science, Statistics, Applied Math, Electrical Engineering, Operations Research, Econometrics, or other related fields.
Excellent communication and relationship skills.

Benefits

Health insurance
Competitive salary
Professional development opportunities

Applicant Tracking System Keywords

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

Hard skills

machine learningdeep learningreinforcement learningcausal inferenceexperimentation techniquespersonalizationPythonmodel servingorchestrationGPU resource management

Soft skills

communication skillsrelationship skillscollaboration

Certifications

PhDMS