Lead Data Scientist – Healthcare

Tiger Analytics

Lead Data Scientist at Tiger Analytics focusing on healthcare forecasting and Generative AI solutions. Leading initiatives for Fortune 500 companies to enhance data-driven decision making.

Posted 7/23/2026full-timeRemote • New Jersey • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying advanced Deep Learning and Generative AI models, with a strong focus on forecasting and predictive analytics in the healthcare domain. Proven ability to lead teams, mentor junior data scientists, and ensure compliance with data privacy standards.

Highest-signal resume keywords

Deep Learning FrameworksForecasting ModelsGenerative AI SolutionsHealthcare Domain ExperiencePython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Forecasting ModelsDeep LearningGenerative AIPredictive AnalyticsPythonSQLMachine Learning LibrariesModel OptimizationData AnalysisAlgorithm Development

Soft Skills

Stakeholder CommunicationLeadershipMentoring

Tools & Technologies

TensorFlowPyTorchKerasAWSAzureGCPSHAPLIME

Industry Keywords

Healthcare Data PrivacyData GovernancePredictive ModelsUnstructured DataStructured Data

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.