Lead Data Scientist – Healthcare
Job Description:
- 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.
- Experience with cloud platforms such as AWS, Azure, or GCP preferred.
- Excellent stakeholder communication and leadership skills.
Benefits: This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.*Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.*