Senior Machine Learning Scientist, Adyen
3 days a week in office
Payments platform built to grow businesses
Open for applications
Payments platform built to grow businesses
1001+ employees
Open for applications
3 days a week in office
1001+ employees
Company mission
Adyen's mission is to make payments choices easy for merchants.
Role
Who you are
- You have 8+ years of experience as a machine learning or data scientist
- You have experience with the full machine learning model lifecycle in production flows
- You have experience leveraging a big data framework to create the pipelines needed to feed the models with appropriate data
- You have a good understanding of software engineering practices as well as data engineering and MLOps principles
- You have knowledge of data science and statistics and machine learning techniques. These include a strong grounding in statistical inference, machine learning for prediction, and causal inference. Familiarity with graph-based techniques and Bayesian approaches is considered a plus
- You have strong familiarity with the standard data science toolkit, such as (py)spark, (Trino) SQL, Scikit-Learn, PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar MLOps frameworks, and Airflow
- You have an experimental mindset with a launch fast and iterate mentality. Extensive experience with designing and running experiments is essential
- You are proactively taking the lead in projects, from ideation to deployment. You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes over a wide range of audiences
What the job involves
- Adyen is looking for a Senior Machine Learning Scientist to join our team in Amsterdam, a person sitting at the cornerstone of algorithms, mathematics, and engineering, who can solve problems by designing and implementing production-ready machine learning solutions
- You will be responsible for building, developing and deploying algorithms that power data products at Adyen
- Research, design, implement, train, deploy and monitor machine learning algorithms, either for batch prediction or real-time. Examples are:
- Anti-Money Laundering (AML) systems
- Real-time anomaly detection based on time-series modeling
- On-line learning algorithms to pick the best optimization decision in a changing environment
- Clustering algorithms to group customers/shoppers
- Supervised and semi-supervised learning methods for inference on risk patterns
- Graph analysis and representation learning for behavior prediction and monitoring
- Develop orchestrated pipelines for analytical purposes and machine learning training
- Contribute to ongoing automation efforts for our experiments, training runs, validation runs and monitoring before, during and after deployment. Furthermore, collaborate with MLOps to improve our machine learning tooling
- Create and iterate on state of the art machine learning algorithms with both merchant and product audiences
- Stay up-to-date with the latest research and developments in the machine learning field, and apply this where applicable
Application process
- We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role
Our take
Adyen has been one of the most successful businesses in Europe over the last decade. When it went public in 2018 at a valuation of €7bn, it raised over €1bn and its share price popped on the first day, resulting in a valuation of €14bn. Its valuation has continued to climb by the billions.
Adyen competes with large players like PayPal, as well as outsized startups like Stripe, to power payments and provide other infrastructure to conduct digital transactions. Disrupters in the field have been buoyed by a strong rise in eCommerce activity, where some or all of a transaction by a customer is made either online or by mobile.
Adyen has been one of the companies riding the wave by helping to reduce the friction between a company choosing to take payments online, and actually being able to do it. That can take multiple steps and agreements across numerous countries — Adyen’s pitch is that it essentially handles all of it in the backend as a service for its users. Notable partners have included Autocanteen, a touchless self-checkout solution for the hospitality industry, and BILL, a small business-focused fintech platform.
Steph
Company Specialist at Welcome to the Jungle
Insights
Many candidates hear
back within 2 weeks
36% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Sep 2015
$52.6m
GROWTH EQUITY VC
Dec 2014
$250m
SERIES B
Total funding: $319.5m
Company benefits
- Global exchange program
- Weekly happy hour
- Delicious healthy lunches
- Phantom share package
- Yearly trip to Amsterdam
- Paid holidays
- Work from home opportunities
Company values
- We build to benefit all customers (not just one)
- We make good choices to build an ethical business and drive sustainable growth for our customers
- We launch fast and iterate
- Winning is more important than ego; we work as a team - across cultures and time zones
- We don’t hide behind email, instead we pick up the phone
- We talk straight without being rude
- We include different people to sharpen our ideas
- We create our own path and won’t be slowed down by “stewards”
Company HQ
Nieuwmarkt en Lastage, Amsterdam, Netherlands
Articles
Leadership
Pieter Van Der Does
(CEO)Previously Chief Commercial Officer at Bibit (payments company) before co-founding Adyen in 2006.
Salary benchmarks
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