Senior Decision Scientist

Fractal Analytics•California, CA

3d•$150,000 - $160,000•Remote

About The Position

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Requirements

Bachelor's/Master's degree in Computer Science, Data Science, Engineering, or a related field.
6-10 years of experience in AI/ML, Data Science, or AI Product Management.
Experience leading cross-functional teams as a Product Owner or Product Manager.
Strong knowledge of LLMs, RAG, prompt engineering, embeddings, AI agents, Agentforce, and NotebookLM.
Hands-on understanding of Python, ML frameworks, and AWS services (SageMaker, S3, Lambda, API Gateway, etc.).
Experience deploying AI solutions in production environments.
Familiarity with BFSI domains such as risk, lending, fraud, compliance, or customer analytics.

Nice To Haves

Experience with agentic AI frameworks and enterprise AI deployments.
Knowledge of AI governance, model risk management, and BFSI regulatory requirements.
AWS and/or AI-related certifications preferred

Responsibilities

Own the end-to-end delivery of Generative AI solutions (LLMs, RAG, AI Agents) for BFSI use cases.
Act as the primary liaison between business stakeholders, data scientists, and engineering teams.
Translate business requirements into AI product roadmaps, user stories, and technical requirements.
Drive solution deployment on AWS and ensure alignment with scalability, governance, and compliance standards.
Define success metrics and oversee model performance, adoption, and business outcomes.
Stay current with advancements in GenAI, agentic AI, and AI platforms.