Data Scientistonly on W2only USCGC

Sunrise, FL - USA

Monthly Salary: Not Disclosed

Posted on: 13-10-2025

Vacancies: 1 Vacancy

Job Summary

Data Scientistonly on W2only USC/GC

Required Skills

8 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

8 years of experience in Data Engineering or related field.
Strong programming skills in Python including experience with relevant libraries and frameworks.
Hands-on experience with CI/CD pipelines and automation tools.
Proficiency in containerization using Docker and Kubernetes.
Solid understanding of GCP (preferred) or similar cloud platforms (AWS/Azure).
Familiarity with Vertex AI and ML pipeline orchestration.
Knowledge of data security and monitoring in cloud environments.
Excellent communication and collaboration skills to work closely with cross-functional teams.

Data Scientistonly on W2only USC/GC Required Skills 8 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; s...