Senior Data Science Engineer

Job Summary

Owning the full lifecycle from raw data ingestion to model deployment, the full-time Senior Data Science Engineer will develop and integrate ML and LLM-based models for risk detection within a remote environment.

Key responsibilities

• Research, prototype, and develop ML and LLM-based models to address complex business challenges
• Design, build, and maintain scalable data pipelines and ensure data quality across various layers
• Implement CI/CD pipelines for data workflows and ML model deployment, 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 analysis
• Hands-on experience with cloud data platforms like Databricks or Snowflake
• Familiarity with ML experiment tracking tools such as MLflow or Weights & Biases