Lead Data Scientist - W2 Only
Posted Today by nTech Solutions
Negotiable
Undetermined
Remote
Remote
Summary: The Lead Data Scientist role is a remote position focused on developing the next generation of Artificial Intelligence solutions for a leading organization. The candidate will be responsible for designing AI architectures, conducting hands-on experimentation, and providing technical guidance to data science teams. This position requires a strong background in data science and machine learning, along with exceptional communication skills to lead and collaborate with multi-functional teams. Candidates must be located on the East Coast and willing to travel to Reston, VA twice a year for planning sessions.
Key Responsibilities:
- Design end-to-end AI architectures, selecting appropriate LLMs, vector databases, and prompting strategies.
- Conduct hands-on technical experimentation and validation to integrate components from AWS and other sources.
- Provide proven technical blueprints and guidance to data scientists and engineers for production implementation.
- Act as a technical driver and vocal leader, guiding teams and communicating complex AI solutions to stakeholders.
- Evaluate and implement emerging technologies such as LangChain, LangGraph, and Agentic AI solutions.
Key Skills:
- 8-10 years of intensive experience in Data Science and Machine Learning Engineering.
- Proven experience as a Lead Data Scientist or AI Architect with a strong focus on technical design.
- Deep knowledge of AI orchestration and frameworks (e.g., LangChain, LangGraph, MCP).
- 2-3 years of experience designing solutions within the AWS AI/ML stack, specifically using Bedrock and SageMaker.
- Exceptional communication skills with a "vocal leader" personality; ability to drive projects across multi-functional teams.
- Ability to travel to Reston, VA for periodic planning sessions.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
***Candidates MUST BE located on the East Coast only to be eligible for this job. This is a W2 job!
Title: Lead Data Scientist
Terms of Employment
12-Month Contract (Extension Possible)
Remote (East Coast Residents Only)
The selected candidate must be comfortable traveling to Reston, VA at their own expense twice per year for PI Planning.
Overview & Responsibilities
Work with a leading organization to define and drive the next generation of their Artificial Intelligence portfolio. We are seeking a Lead Data Scientist who is a "vocal leader" and technical visionary. Unlike traditional architect roles that focus solely on diagrams, this position requires a deep-rooted background in hands-on data science and machine learning. You will be the primary strategist, conducting hands-on experimentation to stitch together complex AI components including LLMs, vector databases, and orchestration frameworks to create proven architectures that data science teams will build and deploy.
You will
Design end-to-end AI architectures, selecting appropriate LLMs, vector databases (Kendra, MongoDB), and prompting strategies.
Conduct hands-on technical experimentation and validation to "stitch together" components from AWS and other sources.
Provide proven technical blueprints and guidance to data scientists and engineers for production implementation.
Act as a technical driver and vocal leader, guiding teams and communicating complex AI solutions to stakeholders.
Evaluate and implement emerging technologies such as LangChain, LangGraph, and Agentic AI solutions.
Required Qualifications
8-10 years of intensive experience in Data Science and Machine Learning Engineering.
Proven experience as a Lead Data Scientist or AI Architect with a strong focus on technical design.
Deep knowledge of AI orchestration and frameworks (e.g., LangChain, LangGraph, MCP).
2-3 years of experience designing solutions within the AWS AI/ML stack, specifically using Bedrock and SageMaker.
Exceptional communication skills with a "vocal leader" personality; ability to drive projects across multi-functional teams.
Ability to travel to Reston, VA for periodic planning sessions.
Preferred Qualifications
1-2 years of experience in Data or Solution Architecture.
Experience with Generative AI and Agentic AI implementations.
Familiarity with Vector Databases such as AWS Kendra or MongoDB and relational databases like AWS Aurora.