Job Description
Job DescriptionJob Title: Data Scientist-GCP
Client: TBD
Work Time Zone: EST
Rate: $58/hour on 1099/C2C
Location: 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 & Exploration
- Analyze 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 Learning
- Build, 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 Applications
- Develop 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 & MLOps
- Use 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 & Validation
- Design 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 Collaboration
- Work 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 Qualifications
- Bachelor'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.