Data Scientist

Who We Are Is What We Do

Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly.

Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.

As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world‑class companies – breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy. In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are.

Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator’s top companies list – all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google.

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.

• 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

• 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
• 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 in the company to deliver algorithmic solutions
• Apply software engineering practices in the code that implements our research and its infrastructure
• Produce high quality, clean, maintainable reproducible research and code

• 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
• Hands‑on experience working with SQL
• Hands‑on experience working with Python…