Senior Machine Learning Scientist, Adyen
Payments platform built to grow businesses
Job no longer available
Payments platform built to grow businesses
1001+ employees
Job no longer available
1001+ employees
Company mission
To make payments choices easy for merchants.
Role
Who you are
- If you have a strong machine learning background and love solving complex problems, we want to hear from you
- You have 5+ 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 - Deep Learning experience is a plus
- You have strong familiarity with the standard data science toolkit, such as (py)spark, (Trino) SQL, Tensorflow, 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
- You stay up-to-date with the latest research and developments in the machine learning field, and apply this where valuable
- Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!
What the job involves
- Adyen is looking for a 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
- Insights - Diagnostics: The Insights team is at the core of this platform, providing the world’s largest merchants with the data and analytics they need to optimize their payment performance
- Within this, our Proactive Diagnostics initiative acts as a proactive guard for merchant revenue, closing the loop between detecting an anomaly and providing a clear path to rectification
- We operate at the intersection of Big Data and actionable intelligence
- By leveraging Adyen’s global payment flow, we apply advanced statistical models and Causal Inference to not only detect performance drops but to explain the "why" behind them
- We are looking for a Machine Learning Engineer to help us architect the next generation of our diagnostic engine
- Adyen's Regulatory Reporting Tech team is seeking a Machine Learning Scientist to join us in Amsterdam
- You will help in further automating and scaling our global regulatory reporting framework to keep Adyen compliant across all markets
- Together with the team, you will implement key technical solutions to streamline our regulatory reporting operations
- Research, design, implement, train, deploy and monitor machine learning algorithms, either for batch prediction or real-time
- Examples include: 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 or graph analysis, representation learning for behavior prediction and monitoring, Anti-Money Laundering (AML) systems and real-time anomaly detection based on time-series modeling
- 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
- Collaborate closely with product managers and business stakeholders to understand requirements, define problems, and frame them as solvable machine learning tasks
- Explore and analyze large, complex datasets to identify patterns, insights, and opportunities for ML-driven solutions
- Define key performance metrics, design rigorous experiments (e.g., A/B tests), and perform statistical analysis to validate model performance and quantify business impact
Application process
- Ensuring a smooth and enjoyable candidate experience is critical for us. 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 €7 billion, it raised over €1 billion and its share price popped on the first day, resulting in a valuation of €14 billion. And its valuation has continued to climb in the years since.
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 interested businesses to choose and then implement online payments - without the usual hoops to step through. 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
36% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Sep 2015
$58.5m
GROWTH EQUITY VC
Dec 2014
$250m
SERIES B
Total funding: $327.3m
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 HQ
Nieuwmarkt en Lastage, Amsterdam, Netherlands
Leadership
Pieter Van Der Does
(Co-Founder & CEO)Previously Chief Commercial Officer at Bibit (payments company) before co-founding Adyen in 2006.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 136 more jobs at Adyen