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Senior Data Scientist
Clera
Contract type
Ongoing
Work mode
Remote · EU
Experience
Senior · 6+ years
Job description
A hybrid data science and ML infrastructure role on a fintech data products team, building production models and establishing evaluation, deployment, and monitoring foundations for ML systems.
At a glance
- Work mode
- Remote · EU
- Pay
- EUR 75,000 – 100,000 / year
What you'll do
- Define and evolve practices for evaluating, deploying, monitoring, versioning, and retraining models
- Design evaluation frameworks and test harnesses to assess model quality before and after launch
- Build and own models and analyses for transaction coding suggestions, document understanding, and retrieval-augmented or agentic systems
- Partner with data engineering on infrastructure decisions, including model registries, feature stores, serving patterns, and monitoring for drift and degradation
- Set technical standards and improve tools and processes as the ML practice grows
- Translate ambiguous business needs into modeling questions and design experiments, including A/B tests and causal analyses, to measure impact
What we're looking for
- At least 6 years of data science or applied ML experience, including models shipped to production
- Strong knowledge of ML infrastructure, including deployment, monitoring, retraining, model registries, and feature stores, plus experience designing evaluation frameworks
- Proficiency in Python and SQL, statistical modeling, and experiment design
- Experience establishing ML or data science practices and standards on a team
Nice to have
- Experience with Snowflake, dbt, PostgreSQL, Kubernetes, MLflow, Terraform, Prometheus, and Google Cloud services
- Experience with cloud ML platforms and workflow orchestrators
- Experience with RAG, agents, OCR, or document understanding
- Fintech, banking, or financial data experience
Your team
fintech data products team
