Description:
Deel and our family of growing companies are made up of global teams dedicated to helping businesses hire anyone, anywhere, easily.
The team comprises over three thousand self-driven individuals spanning over 100 countries, and our unified yet diverse culture keeps us continually learning and innovating the platform and products for customers.
Companies should be able to hire the best talent anywhere in the world, so we are building the best platform to make that a reality. Our market-leading technology, expertise, and global team are crucial to the platform’s success. We deliver the best products and features in our space, enabling millions of jobs worldwide and connecting the global workforce with the best companies and opportunities.
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