Applied Scientist II
Core
Build mathematical models and AI/ML systems to optimize recruitment processes under real-world cost, capacity, and regulatory constraints.
Role type
Applied Scientist (Operations Optimization)
Builds
Automated hiring pipelines and optimization frameworks for global recruitment
Domain
Human Resources / Operations / Machine Learning
Deliverable
production ML models
Required skills
multi-objective optimization, machine learning, survival analysis, causal inference, stochastic dynamic programming, experimental design, Python, Java, C++, deep learning architecture design
Preferred skills
professional software development, econometrics, industrial engineering, operations research
Technologies
Python, Java, C++, deep learning frameworks
Responsibilities
Design and implement optimization algorithms for job posting timing and candidate management; Develop conversion models and demand forecasting systems; Plan and run controlled experiments to validate recruitment mechanisms; Write production-quality code for data structures and algorithms; Collaborate with engineering teams to integrate models into automated pipelines.