Senior Machine Learning Scientist

United States Digital Space LLC; Amsterdam; On-site; EUR 110,000 - 140,000; Full time

Job summary

United States Digital Space LLC in Amsterdam is seeking a Senior Machine Learning Scientist to design, build, and deploy production-ready ML solutions powering data products. You will lead end-to-end ML initiatives, collaborate with product managers and stakeholders, and optimize experiments and pipelines at scale.

You bring 5+ years of ML experience, strong data engineering and software practices, and familiarity with PySpark, TensorFlow, PyTorch, and MLOps tooling.

Qualifications

• 5+ years of experience as a machine learning scientist.
• 0
• Experience with the full ML model lifecycle in production environments.
• Experience building data pipelines at scale.
• Strong software engineering and data engineering understanding.
• Knowledge of statistics, inference and ML techniques; deep learning a plus.
• Proficiency with ML toolkits (PySpark, TF, PyTorch, XGBoost/LightGBM, Pandas, MLFlow).
• Ability to lead projects end-to-end and communicate outcomes clearly to diverse audiences.
• Commitment to staying updated with ML research and techniques.

Responsibilities

• Research, design, implement, train, deploy and monitor ML algorithms for batch and real-time use.
• Develop orchestrated analytical pipelines and ML training workflows.
• Collaborate with MLOps to improve tooling and automation for experiments.
• Work with product managers to translate requirements into ML tasks.
• Analyze large datasets to identify patterns and opportunities for ML solutions.
• Define metrics, run experiments, and assess business impact.

Skills

Hands-on ML experience

Production ML lifecycle

Big data pipelines

ML engineering

Statistical inference

Experimentation

Stakeholder communication

Tools

PySpark

SQL (Trino)

TensorFlow

PyTorch

XGBoost/LightGBM

Pandas

MLFlow

Airflow

Job description

This is the company

the company 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 the company, 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. 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

the company 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 the company.

Teams Currently Hiring:

• Optimise
• Protect
• Identity
• Behavioural Fraud
• Regulatory Reporting Technology

In this role, you will:

• 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;

Who you are:

• 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 the company.

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications.

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; we do not offer remote‑only roles.