Data Scientist-GCP platform

Job DescriptionJob DescriptionJob Title: Data Scientist-GCPClient: TBDWork Time Zone: ESTRate: $58/hour on 1099/C2CLocation: Atlanta, GA ( Hybrid – 3 days on-site)We are looking for an experienced and forward-thinking Data Scientist to join our Data, Analytics, and Data Products team. The ideal candidate will have strong hands-on experience using Google Cloud Platform (GCP) tools—especially Vertex AI and Gemini—to deliver high-impact machine learning, statistical analysis, and generative AI solutions. This role plays a key part in optimizing decision-making and operational strategies across our core business functions.---Core Responsibilities- Data Analysis & ExplorationAnalyze and explore large, complex datasets using BigQuery and other GCP-native sources.Identify patterns, trends, and actionable insights to inform data science projects and business initiatives.- Statistical Modeling & Machine LearningBuild, tune, and evaluate ML models (e.g., classification, regression, clustering, forecasting).Leverage Vertex AI (AutoML, custom training, BigQuery ML) for scalable model development.- Generative AI & LLM ApplicationsDevelop and deploy generative AI use cases using Vertex AI and Gemini.Engage in prompt engineering, model fine-tuning, feature extraction, summarization, and more.Design and implement advanced architectures such as Retrieval-Augmented Generation (RAG).- Model Deployment & MLOpsUse Vertex AI Pipelines, Model Registry, and Prediction Services to deploy and manage models.Implement monitoring for model drift, bias detection, and performance tracking in production.- Experimentation & ValidationDesign and analyze experiments (e.g., A/B testing) to measure model effectiveness and business impact.Define evaluation metrics aligned with model fairness, quality, and real-world utility.- Cross-Functional CollaborationWork closely with Data Engineers, Product Managers, and business stakeholders to scope, design, and deploy models.Translate complex analytical results into clear, strategic business insights.---Required QualificationsBachelor's degree in Statistics, Computer Science, Data Science, or a related quantitative field.8-12 + years of experience in applied data science, machine learning, and statistical analysis.Strong coding skills in Python or R for data analysis, modeling, and automation.Hands-on experience with Vertex AI components (Notebooks, Pipelines, Training, Prediction).Familiarity with Gemini or other LLMs; experience with prompt engineering or GenAI tools.Strong analytical thinking, communication, and storytelling abilities.Proven track record with GenAI, including LLM integration, fine-tuning, and RAG systems.Deep expertise in the Vertex AI ecosystem (Feature Store, Vector Search, Agent Builder).Solid understanding of MLOps practices and tools (e.g., CI/CD pipelines for ML).Experience with TensorFlow, PyTorch, or JAX.