Data Scientist

Summary

Join Deel, a rapidly growing SaaS company, as a Data Scientist and contribute to our data-driven culture. You will analyze complex data, build predictive models, and support data-driven decision-making across various teams. Collaborate with Product, Marketing, and Operations teams to design and implement models that optimize processes and solve problems. This role is crucial to Deel's analytics and data strategy. Use applied algorithmic research and data science practices to solve real-world problems. Implement production-ready functionality for internal and external customers.

Requirements

• Background and experience in data/backend engineering, ideally in production environments (3+ years) (Mid/Senior Level role)
• High proficiency in Python and its data science stack
• Background and hands-on experience (2+ years) in applied algorithmic research, specifically in information retrieval, text processing, computer vision (CV), computational linguistics (NLP) and machine learning
• Track record of good written and verbal communication of complex things in a simple way as well as ability to collaborate well with people from different backgrounds and professions
• A master’s degree or higher

Responsibilities

• Solve real world problems using applied algorithmic research and Data Science practices
• Implement functionality which can be served in production for internal customers as well as external customers
• Designing, building and maintaining data sets
• Data cleaning
• Feature engineering and extraction
• Modeling
• Experimentation
• Online and offline demonstrations of capabilities
• Building end-to-end machine learning pipelines
• Conduct reproducible research
• Collaborate with Engineering, Operations, Product Management and other functions in the company to deliver algorithmic solutions
• Apply software engineering practices in our code that implements our research and its infrastructure
• Produce high quality, clean, maintainable reproducible research and code

Preferred Qualifications

Experience in NLP is a plus

Benefits

• Stock grant opportunities dependent on your role, employment status and location
• Additional perks and benefits based on your employment status and country
• The flexibility of remote work, including optional WeWork access