Applied AI Data Scientist — Prototyping & GenAI

PINNACLE GROUP (Pinnacle Technical Resources); McLean (VA); On-site; USD 117,000 - 124,000; Full time

Job summary

Pinnacle Group (Pinnacle Technical Resources) in McLean, Virginia is seeking a Data Scientist with an AI focus for a 6-12 month engagement. The role emphasizes turning raw data into practical AI-enabled solutions, not just modeling, with rapid experimentation and data operalization.

The ideal candidate will be curious, comfortable with imperfect data, and able to navigate ambiguity to deliver impact. 5-7 years of experience and strong Python are required.

Qualifications

• 5–7 years of relevant experience with strong Python programming and analytical mindset.
• Ability to proactively solve problems and execute.
• Hands-on experience designing, testing, and refining prompts for large language models (LLMs).
• Experience building end-to-end AI solutions is a plus.

Responsibilities

• Partner with business teams to translate complex problems into AI-enabled solutions.
• Extract, clean, and structure data from diverse sources for analytics and GenAI.
• Develop Python-based prototypes and tools for advanced analytics and GenAI.
• Design and refine prompts for reliable, explainable AI outputs.
• Collaborate with data, tech, and engineering to align prototypes with production standards.
• Contribute reusable code, patterns, and demos to shared repositories.
• Support testing, validation, and iteration of AI solutions before deployment.

Skills

Python

Analytical thinking

Problem solving

Execution mindset

Prompt engineering

Job description

Pinnacle Group (Pinnacle Technical Resources) in McLean, Virginia is seeking a Data Scientist with an AI focus for a 6-12 month engagement. The role emphasizes turning raw data into practical AI-enabled solutions, not just modeling, with rapid experimentation and data operalization.

The ideal candidate will be curious, comfortable with imperfect data, and able to navigate ambiguity to deliver impact. 5-7 years of experience and strong Python are required.