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#204437

Data Scientist

Remote
Date:

Overview

Placement Type:

Temporary

Salary:

$57.83 to $64.26 an Hour

Start Date:

09.15.2025

Aquent has an exciting opportunity for a Data Scientist!

This role is 100% remote.  We will only consider candidates who currently live within the United States.  

In addition, to be considered for this role, you must:

  • Be authorized to work in the United States
  • Not require sponsorship of any kind for the duration of the assignment
  • Be able to work on a W-2 basis.  C2C or 1099 is not permitted for this role.

Seize the opportunity to revolutionize healthcare forecasting with cutting-edge AI! As a Senior Data Scientist partnering with Aquent and a Fortune 500 healthcare leader, you’ll be at the forefront of innovation, developing agentic AI frameworks that will directly impact strategic decision-making and growth projections. Your expertise will shape the future of healthcare, driving impactful change within a leading organization.

This role offers a unique opportunity to design and implement advanced reasoning models, leveraging the power of large language models (LLMs) like OpenAI and Gemini. You will be instrumental in building multi-agent systems that analyze complex data, generate strategic insights, and ultimately enhance bid strategies and growth projections.

Responsibilities:

  • Architect, build, and refine agentic frameworks using cutting-edge LLMs to automate 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 data ingestion and transformation, 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.
  • Conduct systematic back-testing and scenario analysis, benchmarking agentic outputs against actual results and internal projections.
  • Communicate complex findings and recommendations to technical and business stakeholders.
  • Ensure compliance with data governance and security standards when deploying models in production environments.
  • Stay at the forefront of advancements in agentic AI, generative models, and LLM orchestration.

Must-Have 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 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 proven ability to support business strategy through advanced analytics.

The target hiring compensation range for this role is $57.83 to $64.26 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.

About Aquent Talent:
Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment—one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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