Posted today · be early
Senior Data Scientist
Clera
WorldwideremotePosted today
Skill Required
Senior-Data-ScienceSenior-Data-Scientist-JobsData-ScientistData-ScienceData Scientistdata engineeringGCPEngineeringPostgreSQLKubernetesPrometheusObservabilitySnowflakeTerraformdesigningfintechPythonMLflowdesignCloudRAGdbtSQLandMachine LearningFulltime
Key highlights
- Salary: €75,000–€100,000 annually
- At least 6 years of data science or applied ML experience
- Fully remote within the EU
- Proficiency in Python and SQL
- Strong knowledge of ML infrastructure, including deployment, monitoring, retraining, model registries, and feature stores
Role overview
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.
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.
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.
Nice to have
- 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.
Additional details
- Salary range: €75,000 to €100,000 annually.
- Location: Fully remote within the EU.
- Originally posted on Himalayas.
