Staff Data Scientist – Remote in Europe

🔥 1 minute ago

🌐 Poland, Estonia, +5 more countries – Remote

🇵🇱 Poland – Remote 🇪🇪 Estonia – Remote 🇪🇸 Spain – Remote 🇱🇹 Lithuania – Remote 🇵🇹 Portugal – Remote 🇩🇪 Germany – Remote 🇳🇱 Netherlands – 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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FYUL

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🛍️ eCommerce

🏭 Manufacturing

🤝 B2B

eCommerce • Manufacturing • B2B

FYUL is the combined company formed from the merger of Printful and Printify. It operates as an on-demand merchandise engine and technology platform that enables independent creators and large brands to design, produce, and sell custom merchandise worldwide. FYUL provides on-demand manufacturing and end-to-end merchandise solutions (through its house of brands including Snow Commerce), powering eCommerce merchandise fulfillment and brand merchandise experiences for businesses of all sizes.

📋 Description

• Lead the architectural direction for candidate retrieval, multi-objective ranking, and learning-to-rank models across raw product and design recommendations • Advance personalization engines using sequence embeddings of merchant history, niche trends, and sales performance signals • Connect downstream merchant sales and conversion data to upstream design generation and candidate ranking models • Oversee image generation pipelines combining LLMs/multimodal models with deep learning architectures such as diffusion models, UNets, and Vision Transformers • Develop classical computer vision and deep learning capabilities for delayering, automated background separation, print-area quality analysis, and asset validation • Act as a product engineer with full technical autonomy across model selection, fine-tuning, prompt engineering, self-hosting, serving pipelines, and frontend workflows • Rapidly prototype, iterate, and ship complete agentic pipelines and ML features using AI-assisted development • Define and refine online/offline evaluation frameworks and oversee continuous A/B testing • Guide make-vs-buy and API-versus-self-hosted fine-tuning decisions and optimize inference • Set applied ML standards, mentor senior individual contributors, run design reviews, and foster measurable business impact • Collaborate across data science and machine learning engineering teams to advance production systems into enterprise-grade AI infrastructure

🎯 Requirements

• 8+ years of hands-on experience building, deploying, and scaling production ML systems, with a proven track record of staff-level technical leadership • Deep expertise in modern search, candidate generation, and recommendation architectures, including Two-Tower models, ANN vector indexing, Transformer rerankers, and learning-to-rank algorithms • Hands-on experience with classical computer vision using OpenCV and modern deep vision architectures, including CNNs, Vision Transformers, diffusion models, and multimodal LLMs/CLIP • Proven ability to build closed-loop ML systems that feed clicks, conversions, and sales back into upstream model training and generation logic • Fluency in Python and the modern AI/ML stack, including PyTorch, LLM orchestration, and agentic frameworks such as LangChain and LangGraph • Practical experience with production serving patterns, including FastAPI and event-driven async processing • Experience with MLOps tools including CometML and Flyte • Experience with cloud data warehouses such as Snowflake • Comfort leveraging Gemini, Claude Code, and Claude Cowork for ideation, prototyping, system design, and production code development • Proven track record of taking full technical ownership of end-to-end features and making architectural decisions across the stack • Nice to have: experience in e-commerce, two-sided marketplaces, or creator platforms • Resume must be submitted in English

🏖️ Benefits

• A global, inclusive team that’s as supportive as it is ambitious and serious about getting things done • An opportunity to work remotely or in a modern and welcoming office in Riga • Flexible working hours (start your day as late as 11 AM) • Private health insurance • 2 extra paid days off to focus on your mental or physical well-being • 1 extra paid day off to celebrate a Birthday or any other celebration of your choice • Internal and external learning opportunities • Access to mentorship, internal meetups, and hackathons, both on-site and online • Free and healthy lunch if you work from the Rīga office • Design and order your own merch using our platforms with an employee discount • Exciting team-building events and parties you’ll never forget!