Deel is an all-in-one payroll and HR platform supporting global teams in 150+ countries
Responsible for analyzing complex data to uncover insights, build predictive models, and support data-driven decision-making
Design, implement and deploy models that drive business outcomes and optimize processes across Product, Marketing, and Operations
Build and maintain datasets, perform data cleaning, feature engineering, modeling and experimentation
Create online and offline demonstrations of capabilities and build end-to-end ML pipelines
Conduct reproducible research and collaborate with Engineering, Operations, and Product Management to deliver algorithmic solutions
Requirements
3+ years background and experience in data/backend engineering, ideally in production environments
High proficiency in Python and its data science stack
2+ years hands-on experience in applied algorithmic research (information retrieval, text processing, computer vision, computational linguistics, machine learning)
Track record of good written and verbal communication and cross-functional collaboration
A master’s degree or higher
Experience in NLP is a plus
Experience building end-to-end machine learning pipelines, feature engineering, data cleaning, modeling, experimentation, and reproducible research
Apply software engineering practices to research code and infrastructure