Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Lead Data Scientist - Healthcare
Reads like a ML Engineer role: putting models into production.
Dallas, Texas, United States
Open 3 months, first seen by us 101 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingLead design and enhancement of forecasting models to improve accuracy
Build and deploy deep learning models on large structured and unstructured data
Develop Generative AI and explainable AI solutions for model insights
Analyze healthcare datasets such as claims, patient, provider, and clinical data
Monitor, retrain, and optimize models for production environments
From the employer’s posting
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.
Monitor model performance, retrain models, and optimize algorithms for production environments.
What you’ll bring
All qualificationsCore experience
- 8–10 years of experience in Data Science / Machine Learning roles.
- 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.
Preferred experience
- Experience with cloud platforms such as AWS, Azure, or GCP preferred.
Qualification wording
8–10 years of experience in Data Science / Machine Learning roles.
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.
Experience with cloud platforms such as AWS, Azure, or GCP preferred.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 101 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 26, 2026101 days ago
- Recorded sightings
- 208
- Last seen by us
- Nov 5, 2026
- Employer says posted
- Jul 23, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 101
Up longer than most. Similar jobs usually come down between day 6 and day 70.
At Tiger Analytics, jobs usually come down by about day 68.
From 4,444 similar postings that came down, and 25 of Tiger Analytics’s. Coming down is not always a hire.
Tiger Analytics is hiring
64 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Its jobs tend to stay up a long time
- 2% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- GCP
- Keras
- PyTorch
- TensorFlow
Where the posting names them
- 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.
- 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.
- 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.
Your next step
Complete your application on apply.workable.com. The employer’s form will show what is required.
Applying through Workable
- No account needed. You can import your resume to fill in the form, or skip that and fill it in yourself.
Already applied? Track this application
Has Tiger Analytics posted this job before?
Yes. We’ve followed one other Lead Data Scientist - Healthcare job there since May 2026. It is still up.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dallas, Texas, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.