Senior Data Scientist

Posted 2 Hours Ago
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Headquarters, AZ, USA
In-Office
Senior level
Fintech • Financial Services • Cryptocurrency
Buy, sell, and store 400+ crypto-assets on the world's largest EUR-spot exchange.
The Role
Own end-to-end data science initiatives across growth, personalization, pricing, market execution, risk, financial integrity, and financial crime. Build causal inference, predictive, ranking, and fraud detection models; deploy and monitor them in production; communicate uncertainty and insights to senior stakeholders; and mentor teammates on statistical and modeling best practices.
Summary Generated by Built In

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.

What You'll Be Doing

  • 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.

What We Look For

  • 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.

At Bitvavo, we believe that diverse perspectives drive innovation, foster creativity, and lead to better outcomes. We are committed to building a team that reflects the diversity of the communities we serve and creating an inclusive environment where everyone can thrive. We welcome applicants of all backgrounds, identities, and experiences. Regardless of race, ethnicity, gender, sexual orientation, age, religion, ability, or any other characteristic. Join us and be part of a team that values and celebrates your unique contributions.
Bitvavo does not accept resumes from staffing, search, or recruitment firms without a signed agreement. If you send us a resume without such an agreement, we may contact the candidate directly without any obligation whatsoever and no fee of any kind will be paid should we hire the candidate.

What We Offer

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.

Skills Required

  • Strong applied experience translating messy business questions into models or measurements
  • Experience with causal inference, predictive modeling, or ranking models
  • Fluency in Python and SQL
  • Experience working independently with data
  • Experience deploying models to production that changed business decisions
  • Sound statistical judgment and ability to quantify and communicate uncertainty
  • Exceptional stakeholder communication and facilitation skills
  • Strong ownership and accountability for live models, including monitoring, drift management, and retraining
  • Experience with Snowflake, dbt, Airflow, Looker, MySQL, Druid, Kafka, or Flink
  • Experience with MCP, agent frameworks, or n8n
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The Company
HQ: Amsterdam
367 Employees
Year Founded: 2018

What We Do

Bitvavo was founded in Amsterdam in 2018. Today, we've grown into one of Europe's leading crypto exchanges, trusted by over 2 million users. On our platform, you can buy, sell, and store more than 400 cryptocurrencies, including Bitcoin (BTC), Ethereum (ETH), Cardano (ADA), Ripple (XRP), and Solana (SOL). Our trading fees are transparent, ranging from 0.00% to 0.25%, and are among the lowest in the industry. Additionally, we offer staking opportunities on more than 20 cryptocurrencies, allowing users to earn up to 15% in rewards on assets such as ETH, SOL, and ADA. Security is at the core of everything we do. We safeguard your assets with advanced measures, such as storing most of them in offline cold wallets. And, to offer you even more peace of mind, we’ve introduced the Bitvavo Account Guarantee. This service reimburses up to €100,000 in the unlikely event of unauthorized access to your account. With Bitvavo, building and managing your crypto portfolio is seamless. Our extensive selection of cryptocurrencies, combined with real-time price monitoring through live charts, enables you to easily add your favorite coins to your wallet and stay informed about market trends. Bitvavo. Built for what's next.

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