Lead Data Scientist - Healthcare

Tiger Analytics is looking for experienced Data Scientists to join their fast-growing advanced analytics consulting firm. The Lead Data Scientist will drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability.

Responsibilities:

• Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes
• Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets
• Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models
• Analyze healthcare datasets including claims, patient, provider, operational, or clinical data
• Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions
• Monitor model performance, retrain models, and optimize algorithms for production environments
• Mentor junior data scientists and provide technical leadership across the project
• Ensure compliance with healthcare data privacy and governance standards

Requirements:

• 8-10 years of experience in Data Science / Machine Learning roles
• Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics)
• Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras
• Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks
• Mandatory experience working in the Healthcare domain
• Strong programming skills in Python, SQL, and ML libraries
• Excellent stakeholder communication and leadership skills
• Experience with cloud platforms such as AWS, Azure, or GCP