Data Scientist AI/ML

HireTalent - Staffing & Recruiting Firm; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading staffing firm is seeking a Senior Data Scientist to lead the development of agentic AI frameworks for a major healthcare client. The role focuses on enhancing forecasting and bid strategies using state-of-the-art language models. The ideal candidate has significant experience in data science with proficiency in relevant programming languages. This position is fully remote, requiring work during EST hours.

Qualifications

• 4+ years of experience in data science or machine learning.
• Expertise in agentic AI systems and LLMs.
• Excellent communication skills.

Responsibilities

• Lead development of agentic AI frameworks for growth projections.
• Design multi-agent systems for data integration.
• Collaborate with experts to optimize agent behaviors.

Skills

Python

SQL

Pandas

Scikit-learn

Langchain

Transformers

Education

Advanced degree in Computer Science or related field

Job description

Senior Talent Acquisition Expert at HireTalent Inc.

Client: A leading U.S. healthcare company specializing in insurance and well-being services.

Job Title: Data Scientist (AI/LLM)

Location: 100% Remote (Need to work EST hours)

Job Description:

Overview

• We are seeking a Senior Data Scientist to lead the development and deployment of agentic AI frameworks for our Growth Projections LLM Experiments, a critical component of the AI for Bids initiative.


• This role centers on leveraging advanced reasoning models and agentic architectures to improve the forecasting of membership growth, enhance bid strategies, and deliver actionable insights for the organization.

Key Responsibilities

• Architect, build, and refine agentic frameworks using state-of-the-art LLMs (e.g., OpenAI o3, Gemini 2.5 Pro) to automate and orchestrate growth projection workflows.


• Design multi-agent systems capable of integrating diverse data sources, conducting stepwise reasoning, and synthesizing strategic intelligence for bid-related scenarios.


• Develop robust pipelines for the ingestion and transformation of public (CMS, SEC, KFF) and internal data, enabling agents to operate with contextual awareness and domain expertise.


• Collaborate with subject matter experts to encode domain knowledge and strategic heuristics into agent behaviors and decision-making processes.


• Conduct systematic back-testing and scenario analysis, benchmarking agentic outputs against actual growth results and internal projections.


• Communicate complex findings and recommendations to technical and business stakeholders, supporting data-driven decision-making in bids and growth strategy.


• Ensure compliance with data governance and security standards when deploying agentic models in production environments.


• Stay informed of the latest advancements in agentic AI, generative models, and large language model orchestration.

Qualifications

• Advanced degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field.


• Minimum of 4 years’ experience in data science or machine learning, with demonstrated expertise in agentic AI systems, LLMs, and multi-agent orchestration.


• Proficiency in Python, SQL, and relevant libraries (e.g., pandas, scikit-learn, langchain, transformers).


• Experience building and deploying agentic frameworks for real-world analytical applications, preferably in healthcare or insurance.


• Strong understanding of public healthcare datasets and business intelligence platforms.


• Ability to translate strategic requirements into technical agent behaviors and workflows.


• Excellent communication skills, with a track record of supporting business strategy through advanced analytics.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology, Business Development, and Science

Industries

Hospitals and Health Care, Public Health, and Health and Human Services