Data Scientist

Data Scientist – Early-Stage AI Startup (Portugal-Based)

Location: Lisbon/Remote (Portugal-based preferred but flexible)

A promising early-stage startup is building a new product at the intersection of AI, data, and marketing. The founding team has deep MarTech experience, early traction with design partners, and a clear path toward building a commercially viable category-defining platform.

They’re now looking for a Data Scientist to help shape the product’s intelligence layer—turning unstructured outputs into structured insight and driving the core models that power the platform.

The Role

As one of the first technical hires, you’ll be working directly with the founders to build and refine the product’s core logic. Expect a fast-paced environment with high autonomy and a real opportunity to influence the direction of the product from day one.

What You’ll Work On

• Designing intelligent data pipelines and scoring frameworks
• Training models that classify, rank, and extract insight from messy data
• Combining LLM outputs with embeddings, classifiers, and statistical logic
• Building feedback loops to improve performance using real-world signals
• Collaborating on the UX and data flows that drive user decision-making

What They’re Looking For

• 3–6 years of experience in data science or ML (ideally in SaaS, AI, or MarTech)
• Strong Python skills, including tools like scikit-learn, HuggingFace, LangChain
• Understanding of NLP, embeddings, semantic similarity, and classification
• Startup mindset—able to operate autonomously and iterate quickly

Nice to Have

• Experience working with LLMs or building AI-enhanced interfaces
• Familiarity with funnel analytics, attribution models, or brand/consumer data
• Background in converting complex outputs into actionable business insight

Why This Role?

• Work on something new and genuinely category-shaping
• Join a small, experienced team with strong founder-market fit
• Early ownership, fast learning curve, and meaningful equity
• Remote-friendly, Portugal-based preferred