Lead Data Scientist

Altak Group is seeking a senior Lead Data Scientist for a remote contract role centered on healthcare AI architecture. The position moves from strategy to hands-on execution, guiding end-to-end data science initiatives and collaborating with engineering, product, and AI architecture teams to deliver scalable, production-ready AI solutions within a healthcare context.

Role Overview

We are looking for an experienced Lead Data Scientist with direct exposure to AI architecture. This senior professional will lead end-to-end data science efforts while coordinating with cross-functional teams to design scalable AI systems that meet production requirements in healthcare settings.

Responsibilities

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

Requirements

• 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 (scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and big data technologies (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 related technology stack.
• Proficient in managing cross-domain architecture solutions and impacts.
• Expertise with domain related architecture frameworks, methods and tools.

Technologies

• Python
• scikit-learn
• TensorFlow
• PyTorch
• SQL
• Spark
• Databricks
• Snowflake
• AWS
• MLflow
• Kubeflow
• SageMaker
• Azure ML

Job Types

• Full-time
• Contract

Pay

USD 70.00 - 76.00 per hour

Experience

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

Work Location

Remote

Application Question

• what is your work autherization in the USA?