Principal Data Scientist – Generative Recommendations, Agentic Orchestration

Job not on LinkedIn

🕒 4 days ago

🇪🇸 Spain – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Vista

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1995

📣 Marketing

🛍️ eCommerce

💰 $40M Venture Round on 2003-07

Marketing • eCommerce • Design/UX

Vista is a remote-first company dedicated to empowering small businesses by providing exceptional services in technology, design, marketing, and customer care. With a global workforce of over 6,500 team members across 17 countries, Vista emphasizes collaboration, inclusivity, and sustainability. Their commitment to innovation enables small businesses to thrive, while the company's culture fosters personal and professional growth for its employees.

📋 Description

• Drive the generative, intent-based, and agentic evolution of Vista's Customer Relevance Platform • Act as the primary technical bridge between core ML/data science modeling and modern LLM application layers • Translate classical recommendations, graph embeddings, and fmX outputs into reasoning abstractions for agentic workflows • Co-lead the research agenda with another Principal Data Scientist • Design and build the agentic reasoning layer around fmX models and rankers • Implement self-correction, reasoning, and contextual explanation patterns for recommendations • Architect and build ML pathways and Model Context Protocol (MCP) servers exposing recommendation models and data as modular tools for AI agents • Enable conversational shopping experiences to query, rank, and synthesize candidates in real time • Develop an algorithmic intent layer using real-time browsing and session signals • Build propensity models and use behavioral traits for actionable customer segmentations and dynamic personas • Serve as Vista's AI ambassador across product, engineering, and business leadership • Ensure models integrate with delivery systems without negatively affecting Core Web Vitals or caching efficiency

🎯 Requirements

• Advanced degree (Ph.D. or Master's) in Computer Science, Applied Mathematics, Statistics, or a closely related quantitative field • 8+ years of experience building and deploying machine learning models and deep learning systems into high-scale customer experiences • Hands-on experience and proactive experimentation with Agentic AI and AI Agent Orchestration frameworks such as LangGraph and Strands • Experience building reasoning layers, including advanced chain-of-thought, self-correction, or validation loops • Demonstrated experience or active experimentation building Model Context Protocol (MCP) servers to bridge data/ML systems with LLM orchestrators in a production context • Deep expertise in Deep Learning, Large Language Models (LLMs), and Reinforcement Learning, especially for real-time feedback loops or personalized ranking • Proven track record building propensity models and customer segmentation models on large-scale behavioral data • Expert-level proficiency in Python, PyTorch/TensorFlow, and SQL • Strong architectural understanding of ML models interacting with backend pipelines such as Databricks, Snowflake, and streaming features, and frontend delivery systems such as UI rendering, caching strategies, and latency management • Very strong communication and stakeholder management skills • Ability to translate complex statistical and algorithmic concepts into clear business value and influence non-technical leaders • Ability to align cross-functional engineering teams

🏖️ Benefits

• Remote-First company • Inclusive community • Growth opportunities • Vista Behaviors supporting a culturally strong and high-performing team • Equal employment opportunity