# Senior Data Scientist at Clera

Senior Data Scientist at Clera in remote. Remote, full-time. Posted November 2, 2026.

- Company: Clera
- Location: remote
- Workplace: Remote
- Job type: Full-time
- Posted: 2026-11-02
- Apply: https://jobs.ashbyhq.com/clera/45f788d1-4a00-45a1-9583-17a09ae0bde9/application
- Source: https://jobmagic.ai/jobs/senior-data-scientist-clera-cpzhxm

## Requirements

- 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.
- Relevant technologies include Snowflake, dbt, PostgreSQL, Kubernetes, MLflow, Terraform, Prometheus, and Google Cloud services; experience with cloud ML platforms and workflow orchestrators is useful.
- Experience with RAG, agents, OCR, or document understanding is useful. Fintech, banking, or financial data experience is also valuable.

## Description

### About the Role

Join a fintech data products team in a hybrid data science and ML infrastructure role. You will build production models and establish the evaluation, deployment, and monitoring foundations that help ML systems remain reliable as they scale.

### 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.

- Relevant technologies include Snowflake, dbt, PostgreSQL, Kubernetes, MLflow, Terraform, Prometheus, and Google Cloud services; experience with cloud ML platforms and workflow orchestrators is useful.

- Experience with RAG, agents, OCR, or document understanding is useful. Fintech, banking, or financial data experience is also valuable.

### Compensation & Benefits

Salary range: €75,000 to €100,000 annually.

### Location

Fully remote within the EU.