Senior Data Science Engineer

Job Summary

Owning the full lifecycle from raw data ingestion to model deployment, the remote Senior Data Science Engineer will research and develop ML and LLM-based models for risk detection, build scalable data pipelines, and implement MLOps practices to ensure production success.

Key responsibilities

• Research, prototype, and develop ML and LLM-based models to address complex business challenges
• Design and maintain scalable data pipelines for data ingestion and ensure data quality across layers
• Implement CI/CD pipelines for data workflows and ML model deployment while monitoring performance and business outcomes

Required qualifications

• 5-8+ years of experience in data engineering and data science/ML with a proven track record of deploying models to production
• Strong proficiency in Python and experience with Spark/PySpark for large-scale data processing
• Advanced SQL skills for complex data transformation and modeling
• Hands-on experience with cloud data platforms such as Databricks or Snowflake
• Familiarity with ETL/ELT frameworks and ML experiment tracking tools