Data Science Manager

Checkout.com is hiring a Data Science Manager in London, United Kingdom. Level rates it ; you can apply on Checkout.com.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a senior role.
Level lists 172 other open roles at Checkout.com.
The role was posted in the last few days.

AI in this role

Company Description

We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.

We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.

Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.

If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.

With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.

The role

As a Data Science Manager in the Payments Performance pillar you will lead a team of smart and ambitious data scientists that drive the success of our machine learning solution for payment optimization. We are looking for someone passionate about building high-performing teams that consistently deliver value in a rapidly evolving area.

You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership. Your leadership will be pivotal for translating complex problems into actionable roadmaps that ultimately impact millions of online shoppers worldwide.

How you’ll make an impact

Drive the roadmap and priorities for your team, and work with many leaders across the company to enhance our ability 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 stakeholders across the organization such as engineering, analytics, operations and product.
Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.

What we’re looking for

You have at least 2 years of direct management experience leading data science and ML teams in a complex domain.
Strong background as a Data Scientist (5+ years of proven experience)
You’ve managed teams that have built and shipped machine learning systems and data products at scale.
You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
You thrive on a high level of autonomy and responsibility.
You foster a healthy, inclusive, challenging, and supportive work environment.
Growth mindset, always on the lookout for stretch challenges.
Excellent communication skills, ability to simplify machine learning concepts and data analyses for broad audiences.
Experience dealing with data from complex domains (FinTech, Fraud Detection or Payments Processing are a significant plus)
A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering) is considered a plus.

Additional Information

Bring all of you to work

We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.

Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.

We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.

It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.

Life at Checkout.com

We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.

Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.

For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram

How we rate this

Data Science Manager at Checkout.com rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.