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

Ali Aydi; Union (NJ); À distance; USD 84 000 - 112 000; Plein temps

Résumé du poste

Ali Aydi is seeking a senior data scientist with a focus on ML infrastructure to build production models and establish evaluation, deployment, and monitoring foundations for scalable ML systems.

You will define practices for model evaluation, deployment, and retraining, while partnering with data engineering to manage registries, feature stores, and monitoring. EU-wide remote work is supported.

Qualifications

• At least 6 years of data science or applied ML experience with production models.
• Strong knowledge of ML infrastructure: deployment, monitoring, retraining, registries, and feature stores.
• Proficient in Python and SQL, statistical modeling, and experiment design.
• Experience establishing ML/data science practices on a team.
• Familiar with Snowflake, dbt, PostgreSQL, Kubernetes, MLflow, Terraform, Prometheus, and Google Cloud services; cloud ML platforms helpful.
• Experience with RAG, agents, OCR, or document understanding is useful; fintech or financial data experience valuable.

Responsabilités

• 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.

Connaissances

Python

SQL

Experiment design

Statistical modeling

Production ML

ML infrastructure

Outils

Snowflake

dbt

PostgreSQL

Kubernetes

MLflow

Terraform

Prometheus

Google Cloud

Description du poste

Ali Aydi is seeking a senior data scientist with a focus on ML infrastructure to build production models and establish evaluation, deployment, and monitoring foundations for scalable ML systems.

You will define practices for model evaluation, deployment, and retraining, while partnering with data engineering to manage registries, feature stores, and monitoring. EU-wide remote work is supported.