Note: The job is a remote job and is open to candidates in USA. Altak Group Inc. is seeking an experienced Lead Data Scientist with a strong background in the healthcare domain and hands-on exposure to AI architecture. This role involves leading data science initiatives and collaborating with various teams to design scalable, production-ready AI solutions.
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
Skills
- 7+ years of experience in data science, with recent experience in a Lead Data Scientist or similar senior role
- Strong experience working in the healthcare domain (payer, provider, life sciences, digital health, or health tech)
- Hands-on experience designing and deploying ML models in production environment
- Solid understanding of AI architecture concepts, including scalable ML systems, MLOps, and cloud-based deployment
- Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
- Experience with SQL and big data technologies (e.g., Spark, Databricks, Snowflake)
- Strong understanding of data modeling, statistics, and machine learning algorithms
- Experience working in cloud environments such as AWS, Azure, or GCP
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
- Prior experience collaborating closely with or acting as an AI Architect on enterprise-scale solution
- 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
Company Overview