Senior Data Scientist

Role Overview

• Lead the design, development, and deployment of cutting-edge AI solutions on Google Cloud Platform (GCP), focusing on solving key business challenges within the healthcare industry.
• Build Generative AI Systems: Architect and build sophisticated Generative AI applications, including Agentic AI systems and advanced RAG pipelines.
• Leverage expertise in Gemini Enterprise, various embedding models, and scalable vector databases to integrate LLMs with vast repositories of business data.
• Apply Classical Machine Learning: Utilize a strong foundation in classical machine learning to develop and implement models for forecasting, classification, risk prediction, and other critical business applications.
• Shape AI Strategy: Act as a subject matter expert on GCP-based AI development, working with stakeholders to translate business needs into actionable, AI-powered solutions and influencing the direction of our technology roadmap.
• Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth.
• Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care.

Requirements

• Proven experience in a Senior AI Engineer or Data Scientist role with a track record of deploying complex AI/ML solutions into production.
• Bachelor's degree in related field, or equivalent work experience, preferred
• GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth
• Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model.
• Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred.
• Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred.
• Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred.
• Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred.
• 8-12 years of relevant work experience preferred.
• Experience building end-to-end MLOps pipelines, from data ingestion to model deployment and monitoring (e.g., using MLFlow)preferred.
• Knowledge of healthcare data (clinical, patient, claims) and relevant regulations like HIPAA preferred.
• Familiarity with DevSecOps principles, RESTful API design, and CI/CD pipelines for ML models preferred.
• Experience working in Agile development environments (Scrum, Kanban) preferred.

Tech Stack

• Cloud
• Google Cloud Platform
• Python
• PyTorch
• Scikit-Learn
• Tensorflow

Benefits

• Medical, dental and vision coverage
• Paid time off plan
• Health savings account (HSA)
• 401k savings plan
• Access to wages before pay day with myFlexPay
• Flexible spending accounts (FSAs)
• Short
• and long-term disability coverage
• Work-Life resources
• Paid parental leave
• Healthy lifestyle programs