Senior Data Scientist - Remote EU (ML Infra & Production)

Clera; United States; Remote; USD 84,000 - 112,000; Full time

Job summary

The role emphasizes designing evaluation frameworks, A/B and causal analyses, and shaping standards as the ML practice grows across cloud platforms and Kubernetes-based environments.

Qualifications

• 6+ years of data science or applied ML experience.
• Experience shipping models to production and maintaining ML systems.

Responsibilities

• 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.

Skills

Python

SQL

Statistical modeling

Experiment design

Applied ML in prod

ML deployment & monitoring

Tools

Snowflake

dbt

PostgreSQL

Kubernetes

MLflow

Terraform

Prometheus

Google Cloud

Job description

The role emphasizes designing evaluation frameworks, A/B and causal analyses, and shaping standards as the ML practice grows across cloud platforms and Kubernetes-based environments.