Data Scientist Engineer_W2_Remote

Required Skills

5+ years of experience in Data Engineering Strong Python from a programming perspective Experience with CICD Pipelines Experience with Containerization using Docker / Kubernetes GCP cloud experience Strong communication skills; should be able to collaborate with team members

Additional Skills

Experience with Vertex AI / Gemini AI

Job Description

Summary

We are seeking a Data Science Engineer to join a specialized project team consisting of one Data Scientist and one Machine Learning Engineer. This role will focus on building and maintaining production-level data pipelines, implementing cloud solutions, and enabling machine learning workflows at scale. The ideal candidate will have strong expertise in Python, GCP (Google Cloud Platform), CI / CD, Docker / Kubernetes, and Vertex AI, with a proven ability to collaborate effectively in a fast-paced environment.

Day-to-Day Responsibilities

• Design, develop, and maintain data pipelines for machine learning models using Python and Vertex AI.
• Collaborate with Data Scientists and ML Engineers to operationalize propensity models and LLM-based solutions.
• Implement GCP / AWS cloud solutions, ensuring security, scalability, and compliance.
• Build and manage CI / CD pipelines for automated deployments and testing.
• Containerize applications using Docker and orchestrate with Kubernetes.
• Monitor data integrity, security, and performance across cloud environments.
• Create and manage API endpoints for model integration and data services.
• Utilize Q Flow for Vertex AI to streamline ML workflows and pipeline execution.
• Ensure production-level code quality and adherence to best practices in software development.

Qualifications