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Deel Logo

Senior Data Scientist

316a334

Remote

Today

Deel

San Francisco, United States

Alex Bouaziz

$100 to $500 million (USD)

Company - Private

2019


Job Description

Who we are and what we do

Deel is a global team that helps businesses hire anyone, anywhere, easily. Deel consists of more than two thousand self-driven individuals spanning over 80 countries. Our unified yet diverse culture keeps us continually learning and innovating the Deel platform and our 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 success of Deel’s platform. We deliver the best products and platform 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 Deel's success story?

A 30-mile hiring radius should no longer dictate how companies hire because great 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 last year, doubling our valuation to $12B.

There’s never been a more exciting time to join Deel — the market leader in international payroll and compliance.

Duties

  • Solve real world problems using applied algorithmic research and Data Science practices

  • Implement functionality which can be served in production for internal and external customers

  • Design, build, and maintain datasets

  • Perform data cleaning, feature engineering, feature extraction, modeling, and experimentation

  • Conduct online and offline demonstrations of capabilities

  • Build end-to-end machine learning pipelines

  • Collaborate with Engineering, Operations, Product Management and other functions in the company to deliver algorithmic solutions

  • Apply software engineering practices in code that implements research and infrastructure

  • Produce high quality, clean, and maintainable reproducible research and code

Requirements

  • High proficiency in Python and its data science stack

  • 3+ years of background and experience in data/backend engineering, ideally in production environments (Mid/Senior Level role)

  • 2+ years of background and hands-on experience in implementing research and algorithms in Python, specifically in information retrieval, text processing, NLP, and machine learning

  • Good written and verbal communication skills and ability to collaborate well with people from different backgrounds and professions

  • Bachelor's degree or higher

We’d especially love to speak with you if:

  • You are a strong data/backend engineer and aspiring data scientist with some hands-on experience in the data-science field

  • You have experience in collaborating with other scientists and engineers

  • You have significant experience in NLP

  • You have experience automating processes

  • You are comfortable with building things from scratch

  • You are comfortable with uncertainty and exploration

  • You have a track record of delivering value.

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.

At Deel, you’ll enjoy:

  • Computer equipment applicable to your role

  • Stock grant opportunities

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

  • The ability to choose where you work whether it be your home, the beach, or a WeWork

At Deel, we're an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics.


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