Senior Machine Learning Scientist / Data Engineer - Logistics Algorithms (all genders)
Core
Drive algorithmic research and software development for predictive warehousing, solving stochastic optimization problems to improve warehouse efficiency and logistics planning.
Role type
Senior IC machine learning scientist / data engineer (logistics optimization)
Builds
Production software for scheduling, planning, and routing decisions in large-scale warehouse operations
Domain
Logistics, combinatorial optimization, data science
Deliverable
production ML models
Required skills
stochastic optimization, combinatorial optimization, graph theory, operations research, machine learning, forecasting, Bayesian networks, microservice architecture, distributed systems, Java, Kotlin, Python, Spark, Databricks
Preferred skills
applied research experience, mathematical modeling, experimentation
Technologies
Spark, Databricks, Java, Kotlin, Python
Responsibilities
Drive research, design, and implementation of algorithms and predictive models; deliver end-to-end solutions from research to production; influence R&D methodologies for scalable architecture; support and coach other Applied Scientists
Seniority
Senior, hands-on IC
