Principal Data Scientist, Generative Recommendations & Agentic Orchestration- Spain Remote

At Vista we are building an industry-leading Customer Relevance Platform to scale personalization across products design templates and marketing messages. We are moving away from model sprawl toward a unified architecture centered on fmX a foundation model that learns shared embeddings for all relevant entities for Vista (users products marketing messages templates etc.).

Our strategic vision focuses on delivering a Context-aware Customer Experience. To achieve this we are prioritizing the evolution toward Intent-Based Personalization capturing real-time journey signals and infusing our recommendations into Agentic Experiences. This means equipping AI assistants with an Agentic Reasoning Layer that sits on top of our fmX rankers enabling personalized recommendations to fit seamlessly into agentic workflows and user experiences.

As the Principal Data Scientist you will drive the generative intent-based and agentic evolution of our platform. A critical part of your role will be to act as the primary bridge between traditional data science practices (ranking embeddings deep learning) and advanced LLM / Agentic reasoning layers. You will partner directly with another Principal Data Scientist to co-lead our research agenda accelerating our strategic progress and elevating the capabilities of the wider Data Science team.

• Bridging Data Science & Agentic Experiences (Key Responsibility): Act as the primary technical bridge between core ML/DS modeling and modern LLM application layers. Translate classical recommendations graph embeddings and fmX outputs into robust reasoning abstractions for use in agentic workflows.

• Agentic Reasoning & Recommendations: Lead the evolution of recommendations into the Generative AI era. Design and build the agentic reasoning layer that wraps around our fmX models and rankers. Implement patterns that allow models to self-correct reason and contextually explain recommendations to customers.

• Tool-Use & MCP Architecture: Architect and build the ML pathways and Model Context Protocol (MCP) servers to expose core recommendation models and data as modular tools for AI agents. This allows conversational shopping experiences to dynamically query rank and synthesize candidates in real time.

• Intent-Based Personalization: Develop an algorithmic intent layer that translates real-time browsing and session signals into structured context-aware customer intents to feed directly into the fmX-based recommendation pipeline.

• Broad Personalization & Segmentation: Build advanced propensity models and leverage behavioral traits to drive actionable business-aligned customer segmentations and dynamic personas.

• AI Leadership & Strategy: Act as Vistas AI ambassador influencing product engineering and business leadership to adopt a model-driven agent-first approach. Ensure models integrate cleanly with delivery systems without hurting Core Web Vitals or caching efficiency.

• Advanced degree (Ph.D. or Masters) 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 AI Agent Orchestration frameworks (e.g. LangGraph Strands etc.) and building reasoning layers (such as advanced chain-of-thought self-correction or validation loops).

• Demonstrated experience or active thinking/experimentation in 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 applied to real-time feedback loops or personalized ranking).

• Proven track record of 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 how ML models interact with both backend pipelines (Databricks Snowflake streaming features) and frontend delivery systems (UI rendering caching strategies latency management).

• Very strong communication and stakeholder management skills with a proven ability to translate complex statistical and algorithmic concepts into clear business value to influence non-technical leaders and align cross-functional engineering teams.

There is a lot to love about working at VistaPrint. We are an award winning Remote-First company. Were an inclusive community. Were growing (which means you can too). And to help orient us all in the same direction we have our Vista Behaviors which exemplify the behavioral attributes that make us a culturally strong and high-performing team.

VistaPrint is the design and marketing partner to millions of small businesses around the world. For over 20 years weve been inspired by small businesses and we work incessantly to deliver solutions to their evolving needs. Together VistaCreate 99designs by Vista and VistaPrint represent a full-service design digital and print solution elevating small businesses presence in physical and digital spaces and powering them to achieve success. VistaPrint is focused on making great marketing and design accessible to every small business owner allowing them to create a cohesive brand image for use in-store online and on-the-go.

VistaPrint exists to help our customers live their dreams. Each dream is unique and the VistaPrint team needs to be as well. We believe in the unique contributions of everyone within a diverse global organization. We are collaborative inclusive and innovative. We strive to role model and live an inclusive culture of fairness respect and belonging for all. And we work together to empower each other creating a space in which each of us can spark our next great idea.

VistaPrint a Cimpress company is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race color sex national or ethnic origin nationality age religion citizenship disability medical condition sexual orientation gender identity gender presentation legal or preferred name marital status pregnancy family structure veteran status or any other basis protected by human rights laws or regulations. This list is not exhaustive and in fact in many cases we strive to do more than the law requires.

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