Analytic Science Principal Scientist

MS or PhD in computer science, electrical engineering, mathematics, physics, other related fields.
Extensive experience in machine learning and AI model development.
Experience with distributed training of modern AI architectures (transformers, encoders, decoders, language models, diffusion).
Experience with Reinforcement Learning (RL) and Self Supervised Learning (SSL).
Experience working with large datasets across diverse modalities.
Excellent software engineering skills, and experience in Python, Rust, PyTorch, C++, Java, Kotlin. Real-world experience with distributed systems and concurrency.
Extensive experience in analyzing large datasets using Python, Perl, or Bash, including data cleaning and statistical analysis to uncover insights.
Prior experience managing high quality, on-time model development projects and driving innovation in the modeling process and offerings.
Requires full-time on-site presence at the FICO San Diego, CA.
Willingness to travel up to 10%.

Develop AI models, as well as the high-level analytic deliverables and innovation projects, collaborating with cross-functional teams (e.g., Pre-sales, Product Management, Development) to meet project roadmaps and delivery timelines.
IP creation of algorithms and systems, leading to patent files.
Communicating to high-level stakeholders internally and externally.
Conduct hands-on analysis of large historical datasets to identify the best modeling techniques, demonstrating expertise in various algorithms and modeling processes with cutting-edge analytic techniques.
Guide and mentor scientists to support their career development.
Understand the needs of FICO’s clients (in financial services and other areas) and translate those into products, models and software.
Drive innovation and inorganic growth of new and existing analytic products through offering and promoting refined ideas.

No preferred qualifications provided.