обновлено 13 дней назад
Data Scientist (Web3)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Web3): Building and optimizing data-driven models for marketing, product personalization, pricing, and financial integrity with an accent on causal inference and predictive modeling. Focus on shipping production-ready models that directly influence business decisions and risk management in a high-volume crypto exchange environment.
Company
is a leading digital assets trading platform based in the Netherlands, dedicated to making digital assets accessible through a transparent and user-friendly exchange.
What you will do
- Own data problems end-to-end, from framing business questions with stakeholders to shipping models into production.
- Develop causal inference and predictive models to optimize marketing spend, product personalization, and pricing strategies.
- Model risk exposure, detect financial crime, and improve execution quality for a high-volume trading platform.
- Monitor and maintain live models, ensuring accuracy and performance through retraining and drift detection.
- Communicate complex findings and uncertainty to senior stakeholders to drive effective decision-making.
Requirements
- Strong applied experience in turning business questions into causal inference or predictive models.
- Fluency in Python and SQL with experience working independently.
- Proven track record of deploying models into production that drive measurable business impact.
- Sound statistical judgment and the ability to quantify and communicate uncertainty.
- Exceptional communication skills to facilitate discussions and derive requirements from stakeholders.
- Extraordinary sense of ownership and accountability.
Nice to have
- Experience building with agentic tooling such as MCP or agent frameworks.
- Experience with automation platforms like n8n.
Culture & Benefits
- Commitment to diverse perspectives and an inclusive work environment.
- Focus on evidence-based decision-making across product, risk, and financial crime domains.
- Emphasis on freedom and accountability within the team.
- Market-competitive total rewards package.
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