Description:
Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum—backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.
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