[Hiring] Data Scientist @Deel

Role Description

Deel is a fast-growing company with a developing Data Science team, which gives the opportunity to contribute to our practices, direction, and tooling selection. The nature of the role will be mostly project focused, providing opportunities to dive deep into a single problem and solve it properly. This role aims to develop data insights from a large salary grouping, with scope to define how the data pipelines will work, and what statistical techniques and ML approaches to use. Over 90% of the team’s work makes it to production, aiming to deliver value each quarter.

Responsibilities

• Solve real world problems using Data Science and statistical techniques
• Implement functionality which can be served in production for internal and external customers
• Design, build, and maintain data sets
• Data cleaning & modelling
• Feature engineering
• Feature extraction
• Build end-to-end data & machine learning pipelines
• Conduct reproducible research
• Collaborate with Engineering, Operations, Product Management, and other functions 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

Qualifications

• High proficiency in Python and its data science stack
• Background and experience in data/backend engineering, ideally in production environments (3+ years)
• 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 concepts in a simple way
• Ability to collaborate well with people from different backgrounds and professions
• A Bachelor’s degree or higher
• Hands-on experience working with SQL
• Hands-on experience working with Python (Preferably with Pandas)
• Strong at applying statistical methods to data
• Strong with data pipelining
• Independent thinker with the ability to work independently to solve problems

Requirements

• 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

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