Lead Data Scientist - Healthcare
Tiger Analytics
Dallas, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Remote
Dallas, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Clinical Data Repository
Cloud Computing
Computer Programming
Python
Machine Learning
TensorFlow
SQL Databases
PyTorch
Large Language Models
Deep Learning
Generative AI
Keras
Build Management
Scikit Learn
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
We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding., * 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 & conditions
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.
About the company
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.