Principal Data Scientist - Search Intelligence & Advanced Evaluation Frameworks
Caterpillar Inc.
$147,760.00 - $240,110.00; not specified; medical,...
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Ai-driven search quality framework
Machine learning models for search
Automated evaluation pipelines
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Caterpillar Inc. is seeking a Principal Data Scientist to enhance their eCommerce platform through advanced AI-driven search quality frameworks. The ideal candidate will have extensive experience in machine learning, data analysis, and programming, particularly in the context of search algorithms and user experience optimization.
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Job Summary
The principal data scientist is responsible for architecting and implementing an advanced, AI-driven search quality framework that rigorously validates whether search enhancements deliver the intended outcomes.
Key responsibilities involve developing automated evaluation pipelines using statistical analysis, A/B testing, and custom metrics to measure the impact of new algorithms on user experience and business goals.
Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies.
Matching Summary
Match Score: 75
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Caterpillar Inc. is seeking a Principal Data Scientist to enhance their eCommerce platform through advanced AI-driven search quality frameworks. The ideal candidate will have extensive experience in machine learning, data analysis, and programming, particularly in the context of search algorithms and user experience optimization.
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Salary
$147,760.00 - $240,110.00; Not specified; Medical, dental, and vision benefits*
Skills & Requirements
Must-have
AI-driven search quality framework
Machine learning models for search
Automated evaluation pipelines
NLP, vector search, personalization
Scalable, high-performance search algorithms
Deep learning algorithms for search efficiency
Nice-to-have
Strong initiative and interpersonal skills
Ability to communicate effectively
Familiarity with A/B testing frameworks
Working experience with heavy equipment engineering
Key Requirements
8+ years of advanced data analysis and machine learning experience
Extensive experience applying Python programming
Proficiency in Fine-tuning and Prompt Engineering for LLMs
ML Platform Experience with MLOps/ML platforms
Working knowledge with cloud technologies (AWS, Azure, GCP)
Advanced experience with version control / repositories such as GitHub