Data Science Manager

The role

You will lead a team of data scientists who build machine learning solutions for payment optimization. You will set the team's roadmap and priorities and work with engineering, analytics, operations and product.

What you will do

• Drive the roadmap and priorities for your team
• Work with many leaders across the company to deliver best-in-class performance through ML
• Build the brain behind mission-critical products that make real-time decisions during the payment processing flow
• Collaborate with engineering, analytics, operations and product
• Manage a high-performing team of data scientists and support their technical excellence and career growth

Required qualifications

• At least 2 years of direct management experience leading data science and ML teams in a complex domain
• 5+ years of proven experience as a Data Scientist
• Experience managing teams that have built and shipped machine learning systems and data products at scale
• Works well cross-functionally and can make hard decisions and tradeoffs
• Thrives on a high level of autonomy and responsibility
• Fosters a healthy, inclusive, challenging and supportive work environment
• Growth mindset
• Excellent communication skills and ability to explain machine learning concepts to broad audiences

Nice to have

• Experience with data from complex domains such as FinTech, Fraud Detection or Payments Processing
• A PhD or MS in a quantitative field such as Statistics, Operations Research, Economics, Computer Science or Engineering

Benefits

• Hybrid working model with flexibility

Before you apply

• Tell the recruiter in your application if you need any adjustments to the process or working environment

About the company

Checkout.com is a fintech company whose payment platform powers digital experiences for businesses such as eBay, Spotify, Klarna, Uber and Sony. It has 20 offices across six continents, with London as its HQ.