Principal Data Scientist (Search/AI)

TL;DR

Principal Data Scientist (Search/AI): Architecting and implementing an advanced, AI-driven search quality framework for eCommerce with an accent on ML/DL models for search relevance, ranking, and personalization. Focus on designing automated evaluation pipelines and leveraging NLP, vector search, and LLMs to enhance user experience and business goals.

Location: Remote (USA). Relocation is available for this position.

Company

Cat Digital is the digital and technology arm of hirify.global Inc., leveraging data and AI to build industry-leading digital solutions for customers and dealers worldwide.

What you will do

• Define and implement a long-term technical vision for the search platform to ensure scalability and adaptability.
• Mentor and guide a team of search engineers through technical reviews and collaborative problem-solving.
• Develop advanced capabilities such as NLP, vector search, and personalization to enhance search relevance.
• Build and tune deep learning algorithms for keyword matching, user behavior, and intent discernment.
• Implement automated evaluation pipelines using statistical analysis, A/B testing, and custom KPIs.
• Collaborate with product managers and engineering teams to align search initiatives with business objectives.

Requirements

• Proven track record of deploying search-related ML models (e.g., Learning-Rank, Lambda MART, Deep Ranking) in industrial applications.
• Proficiency in fine-tuning and prompt engineering for LLMs, specifically using RAG, semantic retrieval, and indexing models.
• Experience with MLOps platforms and deploying models in cloud environments (AWS, Azure, or GCP).
• Extensive knowledge of Python (NumPy, SciPy, pandas) and business statistics for describing results in measurable scales.
• Must be based in the USA or be able to relocate; visa sponsorship is NOT available.
• Typically 8+ years of experience in advanced data analysis and machine learning.

Nice to have

• Familiarity with A/B testing frameworks for evaluating model-driven features.
• Experience with onboard architecture/software (e.g., Raspberry Pi).
• Working experience with heavy equipment engineering or data analysis.
• Advanced experience with version control and repositories such as GitHub.

Culture & Benefits

• Medical, dental, and vision benefits.
• 401(k) savings plans and Health Savings Account (HSA).
• Paid time off plan including vacation, holidays, and volunteer days.
• Tuition reimbursement and dedicated career development opportunities.
• Inclusive environment within a Fortune 100 leader focusing on global scale impact.