Deel, Inc. logo

Data Scientist

Job Overview

Location

Spain

Job Type

Full-time

Category

Data Science

Date Posted

April 11, 2026

Full Job Description

đź“‹ Description

  • • As a Data Scientist at Deel, you will join a fast-growing Data Science team with the opportunity to shape practices, tooling, and direction while solving real-world problems that impact millions of workers globally.
  • • Your day-to-day will involve designing, building, and maintaining data sets, cleaning and modeling data, performing feature engineering and extraction, and developing end-to-end machine learning and data pipelines that are deployed to production.
  • • You’ll collaborate with Engineering, Operations, Product Management, and other teams to deliver algorithmic solutions, applying software engineering best practices to ensure reproducible, high-quality research and code.
  • • Deel is a global leader in HR and payroll technology, supporting workers in 150+ countries with a $17.3B valuation and $1B ARR, offering a dynamic, inclusive culture where your work drives innovation in the future of work.
  • • In this role, you will deepen your expertise in machine learning, statistical analysis, and production-grade data systems, gaining visibility and impact as over 90% of the team’s work reaches production—accelerating your growth as a leader in applied data science.

Skills & Technologies

Python
Pandas
Data Science
Remote
Degree Required

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Deel, Inc.
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About Deel, Inc.

Deel is a San Francisco-based payroll and compliance platform that enables businesses to hire, pay, and manage contractors and employees in over 150 countries. It automates onboarding, localized contracts, tax filings, and payments while ensuring adherence to local labor laws. The cloud software integrates with HR and accounting systems, offers visa and immigration support, and provides employer-of-record services for companies without local entities. Founded in 2019, Deel serves thousands of remote-first and distributed organizations, helping them scale global teams quickly and reduce administrative overhead associated with international employment.

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