Senior Data Scientist

Unchain Data; Amsterdam; On-site; EUR 90,000 - 140,000; Full time

Job summary

Bitvavo is seeking a data-minded professional in Amsterdam to own causal inference and production ML across spend, pricing, product, and risk domains. You will turn business questions into measurable models, ship experiments, and ensure they stay reliable in production.

You will communicate uncertainty and decisions to stakeholders with strong ownership. The role emphasizes building with Python, SQL, Snowflake, dbt, Airflow and Looker, delivering models that influence real business outcomes

Qualifications

• Strong experience turning business questions into measurable models.
• Fluency in Python and SQL; production-grade data tooling experience.
• Track record of models deployed into production influencing decisions.

Responsibilities

• Own problems end to end: frame the question with the stakeholder, build the model or experiment, ship it, and follow it into production.
• Work backwards from the decision: focus on decision cost and value, not merely data.
• Monitor, drift detection, retraining and accountability for live models.
• Communicate the results clearly to senior stakeholders, even when outcomes are not favorable.
• Mentor teammates and raise the standard for causal inference across projects.

Skills

Causal inference

Production models

Communication

Statistical judgement

Education

Bachelor's or Master's in a quantitative field

Tools

Snowflake

dbt

Airflow

Looker

MySQL

Druid

Kafka

Flink

Job description

About Us

In 2018, Bitvavo launched the first version of its digital assets trading platform, to bridge the gap between traditional currencies and digital assets. By offering transparent fees, a wide range of assets and an easy to use platform, Bitvavo is making the currency of the future accessible for everyone.

In two years' time, Bitvavo has established itself as the market leader in the Netherlands and one of the largest in Europe, with over one million users exchanging tens of billions of digital assets a year.

About The Opportunity

We are an exchange. The speed of good decisions matter in everything that we do. Our data domain is committed to making sure the decisions this business makes on spend, pricing, product, risk and financial crime rest on evidence rather than intuition. We're seeking exceptional talent to join us in making this a reality.

The Problems You'll Get to Solve

• Growth & causal inference. Measure true incrementality, own our marketing mix model, and turn that into spend allocation under a budget.
• Product & personalization. Rank and surface what is relevant to each customer's behaviour and holdings, from asset discovery to order form defaults, without drowning users in noise
• Markets, pricing & execution. Model fee and spread elasticity to find the revenue-versus-volume trade-off, and improve execution quality: slippage, order routing, liquidity provider selection.
• Risk & financial integrity. Model risk exposure across a volatile asset book, forecast liquidation risk, and detect reconciliation breaks across internal ledgers, on-chain data and partner reporting.
• Financial crime & compliance. Detect account takeover, payment fraud and mule networks in real time, combining business rules and models that work together while staying explainable and auditable.

Responsibilities

• Own problems end to end: frame the question with the stakeholder, build the model or experiment, ship it, and follow it into production.
• Work backwards from the decision. Start from what someone needs to decide and what it costs to get it wrong, not from the data that happens to be available.
• Stay accountable for your models once they are live: monitoring, drift, retraining, and the day they start behaving differently.
• Tell senior stakeholders things they do not want to hear, including that a campaign, a feature or a rule did not work.
• Support your teammates in growing every day by setting the standard for how we do causal inference, reviewing their work, and sharing knowledge.

Requirements

• Strong applied experience turning a messy business question into a model or a measurement: causal inference where that fits, predictive and ranking models where it does not. You know when a result is not real.
• Fluency in Python and SQL, and comfort working independently rather than waiting for data to be handed to you. We use Snowflake, dbt, Airflow and Looker, on top of technologies like MySQL, Druid, Kafka and Flink.
• A track record of models that made it into production and changed a decision, not just notebooks and slide decks.
• Sound statistical judgement, and the honesty to quantify and communicate uncertainty rather than hide it.
• Exceptional communication skills. We expect you to talk to various stakeholders to derive requirements, drive discussions, and facilitate decision-making processes effectively.
• Extraordinary sense of ownership. We are committed to empowering people with freedom and accountability.

Nice To Have

• Experience building with agentic tooling such as MCP or agent frameworks, or automation platforms like n8n.

Benefits

At Bitvavo, we believe in attracting, motivating and retaining talented people through market-competitive offerings that go beyond compensation alone. To learn more about our total rewards package and the benefits we offer, visit our Life at Bitvavo page.