Data Scientist
DeelData SciencePosted 21 January 2026
Tech Stack
Job Description
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.Why should you be part of our success story?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.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 selectionThe nature of the role will be mostly project focused, so a lot of opportunity to dive deep into a single problem and solve it properlyThis 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 useOver 90% of the team’s work makes it to production which is rare for Data science/AI teams, we aim to deliver value each quarterResponsibilitiesSolve real world problems using Data Science and statistical techniquesImplement functionality which can be served in production for internal customers as well as external customersDesigning, building and maintaining data setsData cleaning & modellingFeature engineeringFeature extractionBuilding end-to-end data & machine learning pipelinesConduct reproducible researchCollaborate with Engineering, Operations, Product Management and other functions in the company to deliver algorithmic solutionsApply software engineering practices in our code that implements our research and its infrastructureProduce high quality, clean, maintainable reproducible research and codeRequirementsHigh 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 learningExperience with developing AI solutions across a variety of domainsTrack record of good written and verbal communication of complex things in a simple way as well as ability to col ... (truncated, view full listing at source)
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