data scientist

The Data Scientist is responsible for analyzing complex data to uncover valuable insights, build predictive models, and support data-driven decision-making across the company. You will work closely with various teams to design and implement models that drive business outcomes, optimize processes, and solve problems across departments such as Product, Marketing, and Operations. This role is integral to Deel’s data-driven culture, making it a core function within the company’s broader analytics and data strategy.

Responsibilities

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

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

• Designing, building and maintaining data sets

• Data cleaning

• Feature engineering and extraction

• Modeling

• Experimentation

• Online and offline demonstrations of capabilities

• Building end-to-end 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
  

Qualifications

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

• High proficiency in Python and its data science stack.

• Background and hands-on experience (2+ years) in applied algorithmic research, specifically in information retrieval, text processing, computer vision (CV), computational linguistics (NLP) and machine learning

• 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 master’s degree or higher

• Experience in NLP is a plus

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

• 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 optional WeWork access

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 [email protected] of the nature of the accommodation that you may require, to ensure your equal participation.

We use Covey as part of our hiring and/or promotional processes. As part of the evaluation process, we provide Covey with job requirements and candidate-submitted applications. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. For positions in New York City, our use of Covey complies with NYC Local Law 144.

We began using

Covey Scout for Inbound

on March 30, 2025.

For more information about our data protection practices, please visit our

Privacy Policy

. You can review the independent bias audit report covering our use of Covey here:

https://getcovey.com/nyc-local-law-144

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