Senior Data Scientist

Summary

Join Deel's Data team and contribute to developing data insights from a large salary grouping. This role involves solving real-world problems using Data Science and statistical techniques, implementing functionality for internal and external customers, and collaborating with other functions in the company.

Requirements

• High proficiency in Python and its data science stack
• Background and experience in data/backend engineering, ideally in production environments (3+ years) (Mid/Senior Level role)
• Background and hands-on experience (2+ years) in implementing research and algorithms in Python, specifically in information retrieval, text processing, NLP, and machine learning
• Experience with developing AI solutions across a variety of domains
• 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 Bachelor’s degree or higher
• Must have hands on experience working with SQL
• Must have hands on experience working with Python (Preferably with Pandas)
• Must be strong at applying statistical methods to data
• Must be strong with data pipelining
• Must be an independent thinker and have the ability to work independently to solve problems

Responsibilities

• Solve real world problems using Data Science and statistical techniques
• Implement functionality which can be served in production for internal customers as well as external customers
• Designing, building and maintaining data sets
• Data cleaning & modelling
• Feature engineering
• Feature extraction
• Building end-to-end data & 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

Benefits

• Provided computer equipment tailored to your role
• 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 WeWork access where available