Senior Data Scientist

Навыки

• Agile
• AI-инструменты в работе
• AWS
• Azure
• Коммуникация
• CPC / CPM / CTR
• Анализ данных

О компании и продукте

• We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Description. The Cat® Digital group is the digital and technology arm of Caterpillar Inc., responsible for delivering world-class digital capabilities across our products and services. With more than 1.5 million connected assets globally, Cat Digital leverages data, advanced analytics, and AI to help customers build a better, more sustainable world. Job Summary. eCommerce is a key digital enabler in Caterpillar’s aftermarket parts and services growth strategy

Задачи

• Search Model Development & Optimization
• Design, develop, and deploy ML, deep learning, and relevance models for enterprise search, including ranking, retrieval, and semantic search
• Implement and fine-tune Learning-to-Rank models (e.g., LambdaMART, deep ranking models) to improve result relevance and user satisfaction
• Optimize search pipelines using keyword, behavioral, contextual, and semantic signals
• AI, NLP, and Generative Search
• Build and enhance NLP-driven capabilities such as query understanding, intent detection, and query rewriting
• Work with retrieval methods such as BM25, semantic retrieval, and vector search
• Behavioral, Contextual, and Personalization Models
• Develop behavioural models leveraging user signals, clickstream data, and search interactions
• Build contextual intent models to improve categorization and relevance
• Implement personalization models, including rule-based segmentation, ML-based recommendations, and implicit personalization
• Data Analysis & Experimentation
• Analyze large-scale search logs and product data to identify relevance gaps and improvement opportunities
• Define and track search KPIs (CTR, zero-result searches, query distribution, relevance metrics)
• Design and execute A/B tests to validate model and feature improvements (nice to have)
• MLOps & Platform Collaboration
• Build robust feature engineering, labeling, and model pipelines
• Deploy and monitor models using MLOps frameworks and cloud-native platforms (AWS, Azure, or GCP)
• Collaborate with engineering teams to operationalize models through APIs and scalable services
• Cross-Functional Collaboration
• Partner with product managers, engineers, and data science peers to align search capabilities with business objectives
• Contribute technical insights, documentation, and recommendations to influence product and platform decisions
• What You Will Have
• Core Technical Skills
• Strong experience developing and deploying ML models for search, recommendation, or relevance-driven systems

Требования

• The Senior Data Scientist – Search plays a critical hands-on role in designing, building, and deploying advanced AI/ML and search relevance models that power scalable, high-quality enterprise search experiences
• This role focuses on end-to-end model development, experimentation, and optimization for search and discovery, working closely with product, engineering, and platform teams to improve relevance, personalization, and business outcomes

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