Lead Data Scientist – Healthcare

Tiger Analytics

Lead Data Scientist at Tiger Analytics driving advanced analytics initiatives focused on healthcare. Collaborating with stakeholders and optimizing AI solutions for business outcomes.

Posted 4/22/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKerasPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.***

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Hard Skills & Tools

Deep LearningForecasting modelsGenerative AIExplainable AIPythonSQLTensorFlowPyTorchKerasML libraries

Soft Skills

stakeholder communicationleadershipmentoring