Senior Data Scientist

Anywhere (EMEA)

Deel

No HR platform can handle everything for everyone, until now. Deel is the only truly global platform that works for your entire team, no matter where they are.

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Who we are is what we do.

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 should you be part of our success story?

A 30-mile hiring radius should no longer dictate how companies hire because exceptional talent lives everywhere. Deel sees a world without hiring borders and endless talent that pairs perfect candidates with great companies.

We offer global teams all the tools they need to hire, onboard, manage, pay, and scale at full speed. We aim to foster a diverse global economy by building a generational platform that seamlessly connects companies with talent worldwide.

After our successful Series D in 2021, we raised another $50M in 2023, doubling our valuation to $12B. There’s never been a more exciting time to join Deel — the international payroll and compliance market leader.

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

Total Rewards

Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all. 

Some things you’ll enjoy

  • Provided computer equipment tailored to your role

  • Stock grant opportunities dependent on your role, employment status and location

  • Additional perks and benefits based on your employment status and country

  • The flexibility of remote work, including WeWork access where available

At Deel, we’re an equal-opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of  race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics.

Unless otherwise agreed, we will communicate with job applicants using Deel-specific emails, which include @deel.com and other acquired company emails like @payspace.com and @paygroup.com. You can view the most up-to-date job listings at Deel by visiting our careers page.

Deel is an equal-opportunity employer and is committed to cultivating a diverse and inclusive workplace that reflects different abilities, backgrounds, beliefs, experiences, identities and perspectives.

Deel will provide accommodation on request throughout the recruitment, selection and assessment process for applicants with disabilities. If you require accommodation, please inform our Talent Acquisition Team at recruiting@deel.com of the nature of the accommodation that you may require, to ensure your equal participation.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Data pipelines Engineering Feature engineering Machine Learning NLP Pandas Pipelines Python Research SQL Statistics

Perks/benefits: Career development Competitive pay

Regions: Remote/Anywhere Africa Europe Middle East