Senior Data Scientist, Deel

Salary not provided
SQL
Python
Pandas
Mid and Senior level
Remote in EU, UK
Deel

Global payroll for employees and contractors

Job no longer available

Deel

Global payroll for employees and contractors

1001+ employees

FintechB2BHRInternal toolsPaymentsSaaS

Job no longer available

Salary not provided
SQL
Python
Pandas
Mid and Senior level
Remote in EU, UK

1001+ employees

FintechB2BHRInternal toolsPaymentsSaaS

Company mission

To make a change for people everywhere by empowering companies to eliminate hiring borders—so anyone, anywhere in the world, can access new opportunities.

Role

Who you are

  • 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

What the job involves

  • 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
  • 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

Our take

Remote work is growing exponentially, but global onboarding and payments haven't caught up. Deel is a payroll platform for remote teams that connects localised compliance and payments in one system of record, and automates everything.

Deel's goal is to offer every company that hires remote talents a one-stop-shop that makes onboarding, global compliance, and payments easy. The company's growth curve is one for the books, as it has been able to grow its customer base and team at an impressive rate. Its valuation follows suit, and Deel boasts being one of few businesses to hit $10+ billion just a year after hitting unicorn status.

With remote working here to stay, Deel has proven it got in at the right time, being well placed to capitalise on the trend of globally distributed teams. With such impressive backing, the company should be able to keep its success up as it moves into the future, bolstered by the release of new products and integrations that amplify the impact of its offering.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Insights

Led by a woman
Top investors

Some candidates hear
back within 2 weeks

277% employee growth in 12 months

Company

Funding (last 2 of 6 rounds)

May 2022

$50m

LATE VC

Oct 2021

$425m

SERIES D

Total funding: $678.9m

Company benefits

  • Flexible Paid Time Off
  • Parental leave
  • The option to be paid in digital currency or the currency of your choice
  • $100 per person per month Health and Wellness budget
  • $30 per person per month Learning and Development budget
  • FlexWork - you choose where you work - from your home, the beach, a Deel office, or through our WeWork global membership program

Company values

  • Genuine Care: Care is our cornerstone and our competitive advantage. We deeply care for out customers and teammates. We demonstrate it in our every action and communication.
  • Default Optimism: We are happy people. We focus on the good and consider ourselves critical optimists. Of course, bad days happen, but we always see our glass as half full.
  • Deel Speed: Proactivity beats reactivity. We believe debating if an approach is optimal or suboptimal. We are detail-oriented and act, build, and iterate fast.
  • Unequivocal Transparency: We are direct and transparent. The only way to resolve conflicts, avoid politics, and ensure alignment is through respectful, open communication.
  • Dig Deeper: When tackling problems, we dig to the root cause to understand why they exist. A quick fix today can become a breaking point tomorrow.
  • Analyse then Automate: We are a data-driven company. We track and automate to ensure we know where we are headed and ensure there is a clear road ahead.
  • Compete to Win: We hustle and innovate with our teammates and partners to ensure competitiveness. We want to win every Deel, everywhere.
  • Organize and Share: We are organized and efficient. We structure and share information across the organization. Knowledge and its transferability are key to scale.
  • Thoughtful Frugality: We treat the company's resources like our own. We put the company's best interest first when making decisions.

Company HQ

Mid-Market, San Francisco, CA

Leadership

Previously a Researcher in Environmental Engineering at Imperial College London. Co-Founder and former CEO of Lifeslice.

Previously a Researcher at MIT Newman Lab. Co-Founder and former CTO of Aeris Cleantec.

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