Lead Data Scientist - Remote

SR Talent Solution Inc.; Georgia; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote work

Travel opportunities

Job summary

SR Talent Solution Inc. seeks a hands-on Lead Data Scientist for a 100% remote role with travel to their Houston office. Up to 20% travel for business meetings is required.

The position emphasizes healthcare data science, GenAI/LLM production, and technical leadership in a regulated healthcare environment. The candidate should own end-to-end ML solutions—from development to deployment and monitoring—while mentoring other data scientists and communicating with senior stakeholders.

Qualifications

• Hands-on Lead Data Scientist with healthcare data science experience.
• Production-level GenAI/LLM expertise required.
• Strong foundation in CS, data science, statistics, ML.
• End-to-end ownership: model development, validation, deployment, monitoring, and productionization.
• Hands-on GenAI deployment experience (RAG, agentic AI, NLP/LLM) in production.
• Healthcare datasets experience (clinical/EHR/claims) in regulated environments.
• Lead-level leadership: mentoring, guiding others, communicating with senior stakeholders.
• Avoid ETL/data pipelines or BI-focused backgrounds without GenAI in production.

Responsibilities

• Lead end-to-end ML/GenAI projects in healthcare.
• Mentor data scientists and collaborate with clinical stakeholders.
• Drive production deployment, monitoring, and optimization of models.

Skills

Healthcare data science

GenAI/LLM production

Mentoring/leadership

Stakeholder communication

Job description

Position: Lead Data Scientist

Location: Remote, Houston, TX

Duration: Fulltime

• Work type - 100% remote, but with occasional company paid travel to their corporate office in Houston
• TRAVEL - Up to 20% of the time- BUSINESS MEETINGS
• This position is primarily remote working flexible shift

Notes from client

We are seeking a hands‑on Lead Data Scientist with deep, recent healthcare data science experience and demonstrated production‑level Generative AI/LLM expertise. This is not a BI, Data Engineering, Operations Research, or primarily traditional analytics role. The ideal candidate will have a strong formal foundation in Computer Science, Data Science, Statistics, Machine Learning, or a closely related quantitative discipline, combined with experience building sophisticated data science solutions in a healthcare environment. Candidates should demonstrate end‑to‑end ownership of advanced machine learning solutions, including model development, validation, deployment, monitoring, and product ionization. Recent experience should include hands‑on development and deployment of GenAI/LLM solutions in production, such as RAG, agentic AI, NLP/LLM applications, prompt/model evaluation, or comparable enterprise AI solutions---not simply exposure to GenAI tools. Healthcare experience is a must for this hiring leader, with preference for candidates who have worked directly with clinical, patient, EHR/EMR, claims, population health, or other complex healthcare datasets and understand the challenges of applying AI/ML within a regulated healthcare environment. This is also a true Lead‑level position. Candidates must demonstrate technical leadership through mentoring or guiding other data scientists, influencing modeling/technical direction, partnering with senior stakeholders, and translating complex data science work into meaningful business or clinical outcomes. Please do not submit candidates whose backgrounds are primarily ETL/data pipelines, BI/reporting, supply chain/operations research, traditional analytics, or traditional ML without meaningful production GenAI/LLM experience. Likewise, GenAI candidates without substantive healthcare data science experience will not meet the requirements. Agency screening priority: We are looking for the intersection of Healthcare + Advanced Data Science/ML + Production GenAI/LLMs + Technical Leadership. Candidates should clearly demonstrate all four areas on their resume.