Data Scientist

Deel 

Why join our Data team?

• 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, so a lot of opportunity to dive deep into a single problem and solve it properly

• This role in particular aims to develop data insights from a large salary grouping. There s 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 which is rare for Data science/AI teams, we aim 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 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

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