Data Scientist

Why Recharge.com

We are the leading one-stop-shop for branded payments, making online recharge possible for anyone, anywhere at any time — whether you or someone you love needs credit for calling, gaming, entertainment or money. This is your chance to join an ambitious scaleup in a state of rapid growth; we’ll push you to develop yourself and help you create a real impact in your role. Put simply: we could write history together.

We won’t bore you with a corporate spiel about how we might be taking on the world of branded payments (spoiler: we are). Instead, we’ll let the numbers speak for themselves: we bring consumers their favourite brands to their fingertips, with over 15,000 products available in every gift card category globally, $70 million in funding (and counting!), 20%+ growth in 2023. We also have a revenue target of €75 million in 2024, we're just getting started with 1.1 million app downloads in 2023, we are counting 5.0+ million active customers, a presence in 180 countries and 25 markets, a team of 150+ employees and 35+ nationalities, and 1 person missing — you.

We’re on the hunt for the hungriest and most passionate talent out there. If at any point your brain screams “I want in!” while you’re reading this, then consider this the sign you’ve been looking for: we want you too.

The role

We’re looking for a talented Data Scientist to join our Business Intelligence Team reporting to Nicolas Arrivé. You will work on improving our day to day business operations. You understand what kind of insights drive the right action. You have great analytical skills and are good at making people understand what needs to get done and why.

The BI team embeds actionable insights into the business teams, and drives commercial success (improving sales, margin and/or efficiency). Automation is also at the heart of our business practices when value can be extracted at scale.

Requirements

What will I do?

As a Data Scientist you will play a vital part in defining our company strategy and execution across Payment flow, Paid Marketing, Customer base and product strategy.

You are part of the Business Intelligence team and you are the technical expert in modelling, testing and analytical techniques helping us analysing millions of consumer transactions.

You are modelling from scratch or improving existing statistical models aiming (among other things) at: predicting and explaining Churn, predicting and explaining next likely brand/transaction to happen, existing Marketing Mix Models, automating anomaly detection, existing Lifetime Value prediction model and many more core operational predictive processes. You can articulate the pros and cons of a given approach to numerous stakeholders.

You perform ad hoc advanced strategic analyses and turn these into KPIs that are relevant and easy to understand.

You are a de-facto code reviewer for the rest of the team for the code base you are the most proficient with.

You are improving the automation of some of our reporting tools (Tableau server and front end) for the most important views and KPIs the business relies on to make daily or weekly decisions & you are coaching and mentoring the rest of the team as you see fit on all things technical.

What you have:

• 3+ years experience in an analytics and/or data-science related field (preferably within the e-commerce industry)

• 3+ years experience working with structured and unstructured data-sets as well as data extraction tools such as Hive and/or SQL

• Solid understanding of testing and modelling statistics (R2, p-value, t-test etc…)

• 3+ year experience with statistical software such as R, or coding language: Python

• 3+ years Experience with Data Visualisation tools (like Tableau and PowerBI ideally)

• Hands-on experience with setting up test studies: A/B tests, Geo-experimentation and Lift studies

Nice to have:

• Advanced knowledge of Customer, Marketing Analytics and modelling such as price elasticity test and formula, Marketing Mix Models, LifeTime Value calculations etc…

• Bachelor’s degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar

• Very advanced knowledge of Python or R

What we offer

• 30 days of holiday, a great pension scheme and one of the best relocation packages in Amsterdam

• Flexible working hours and an office overlooking the Amstel

• Macbook Pro or Windows Laptop

• Budget for noise-canceling headphones, travel to and from the office, working-from-home and self-learning

• Free healthy breakfast, lunch and snacks by our in-house chef

• Free Dutch classes to help out with daily life in the Netherlands

• Regular parties, celebrations and other events

The process

1. Apply: Want in? Let us know! Apply for a role and help us get to know your best self.

2. Phone interview: One of our recruiters will get in touch to help you both understand if Recharge is the right next move for you.

3. First interview: You’ll meet with your future line manager (either in person or online) to talk about you, our culture and whether you're a fit for the job.

4. Assignment & Second interview: Some roles involve a case study. Great! It’s your chance to shine and show us you have what it takes. You’ll present your case study to the Hiring Manager and someone from the team

5. Third Interview: You’ll meet with a key member of the management team

6. Offer: You did it! There are only a few tickets available, and this one has your name on it. Welcome to the team.