Senior Machine Learning Scientist

Навыки

• Airflow
• Big Data
• XGBoost / LightGBM / CatBoost
• Machine Learning
• MLOps
• Pandas
• PyTorch

О компании и продукте

• We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Machine Learning Scientist. 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

Задачи

• 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
• This is Adyen
• Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice
• At Adyen, everything we do is engineered for ambition
• For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers
• You will be responsible for building, developing and deploying algorithms that power data products at Adyen
• Teams Currently Hiring
• Optimise
• Identity
• Behavioural Fraud
• Regulatory Reporting Technology

Требования

• 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
• Our Diversity, Equity and Inclusion commitments
• Our unique approach is a product of our diverse perspectives
• This diversity of backgrounds and cultures is essential in helping us maintain our momentum
• Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours
• No matter who you are or where you’re from, we welcome you to be your true self at Adyen
• Does this sound like you?
• If so, Adyen encourages you to reconsider and apply
• We look forward to your application!
• What’s next?
• 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
• Learn more about our hiring process here
• Don’t be afraid to let us know if you need more flexibility
• This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.