Tiger Analytics Inc.
Lead Data Scientist - Healthcare
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 2 months ago · Found 1h ago
Been open since 2 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Lead
Category
Data
This employer didn't state pay. Jobs like this usually pay around $185k–$260k a year, a typical range taken from 164 lead-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "United States, New Jersey, New Jersey, United States, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
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.
Key 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.
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.
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 .
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.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 2h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $185k to $260k per year · You'll be taken to the employer's careers page.