Lead Data Scientist - Healthcare AI & Forecasting

Tiger Analytics; United States; On-site; USD 170,000 - 210,000; Full time

Job summary

Tiger Analytics is seeking a Lead Data Scientist to drive forecasting and Generative AI initiatives in healthcare analytics. You will lead modeling efforts and collaborate with cross‑functional teams to deliver scalable AI solutions.

Ideal candidates have 8–10 years of data science experience, hands‑on ML with TensorFlow/PyTorch, strong Python/SQL skills, and proven leadership in healthcare datasets. This fast‑growing consulting firm offers challenging projects and significant career growth.

Qualifications

• 8-10 years of experience in Data Science / ML 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.

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

Skills

Forecasting

Deep Learning

Generative AI/Explainability

Healthcare domain

Python/SQL

Cloud platforms

Leadership

Model deployment

Tools

TensorFlow

PyTorch

Keras

SHAP

LIME

Job description

Tiger Analytics is seeking a Lead Data Scientist to drive forecasting and Generative AI initiatives in healthcare analytics. You will lead modeling efforts and collaborate with cross‑functional teams to deliver scalable AI solutions.

Ideal candidates have 8–10 years of data science experience, hands‑on ML with TensorFlow/PyTorch, strong Python/SQL skills, and proven leadership in healthcare datasets. This fast‑growing consulting firm offers challenging projects and significant career growth.