Lead Data Scientist

We are seeking an experienced Lead Data Scientist with hands-on exposure to AI architecture. This role requires a senior individual who has led data science initiatives end-to-end while collaborating closely with engineering, product, and AI architecture teams to design scalable, production-ready AI solutions.

Key Responsibilities

· Lead the design, development, and deployment of advanced data science and machine learning solutions within the healthcare domain.

· Act as a technical lead, guiding data scientists and collaborating with AI Architects to ensure scalable, secure, and compliant AI systems.

· Architect and optimize end-to-end ML pipelines, including data ingestion, feature engineering, model training, validation, and deployment.

· Work with structured and unstructured healthcare data such as EHR/EMR, claims, clinical notes, imaging metadata, and operational data.

· Partner with stakeholders to define problem statements, success metrics, and data strategies aligned with clinical and business goals.

· Ensure models comply with healthcare regulations and standards, including HIPAA and data privacy best practices.

· Evaluate and recommend tools, frameworks, and cloud-based solutions for ML and AI workloads.

· Oversee model monitoring, performance tuning, explainability, and governance in production environments.

· Contribute to AI strategy, solution roadmaps, and architectural decisions alongside AI and platform teams.

· 7+ years of experience in data science, with recent experience in a Lead Data Scientist or similar senior role.

· Hands-on experience designing and deploying ML models in production environments.

· Solid understanding of AI architecture concepts, including scalable ML systems, MLOps, and cloud-based deployments.

· Experience implementing Generative AI solutions, including RAG-based chatbot applications.

· Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).

· Experience with SǪL and big data technologies (e.g., Spark, Databricks, Snowflake).

· Strong understanding of data modeling, statistics, and machine learning algorithms.

· Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders

· Experience designing AI solutions leveraging AWS services and Tech Stack

· Proficient in managing cross-domain architecture solutions and impacts.

· Expertise with domain related architecture frameworks, methods and tools.

Preferred Ǫualifications

· Strong experience working in the healthcare domain (payer, provider, life sciences, digital health, or health tech).

· Prior experience collaborating closely with or acting as an AI Architect on enterprise-scale solutions.

· Experience building Agentic AI solutions and developing autonomous AI agents.

· Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Azure ML).

· Familiarity with NLP, computer vision, or generative AI use cases in healthcare.

· Knowledge of healthcare interoperability standards such as HL7, FHIR, or ICD codes.

· Experience leading cross-functional teams in a contract or consulting environment., * Bachelor’s (Required), * RAG Pipelines: 3 years (Required)

• Leadership: 3 years (Required)
• Data science: 7 years (Required)
• Machine learning: 7 years (Required)

$70 - $76 an hour - Full-time, Contract, Job Types: Full-time, Contract

Pay: $70.00 - $76.00 per hour