Senior Full Stack Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Full Stack Data Scientist (AI): Building and optimizing data models for a global luggage storage marketplace with an accent on supply gap modeling, capacity forecasting, and operational frameworks. Focus on developing internal self-serve data capabilities, implementing observability frameworks, and improving the agentic layer for operational insights.
Location: On-site in Portugal
Company
is building cloud storage for the physical world by operating the largest global luggage storage network for travelers.
What you will do
- Model supply gaps and align supply with demand signals to feed expansion tools.
- Develop expansion strategies and forecast capacity for new and existing markets using data-driven insights.
- Establish operational KPIs and build frameworks to monitor store partner performance and onboarding.
- Build internal self-serve data capabilities and observability frameworks to ensure metric trust.
- Improve the Data-Focused Agentic Layer to automate operational insights for field teams.
- Manage big data infrastructures, cloud-based analytics platforms, and maintain analytics pipelines.
Requirements
- 5+ years of industry experience in Data Science or a similar field.
- Strong track record in operational, marketplace, or supply-side analytics (e.g., capacity forecasting, geospatial modeling).
- Experience with data visualization and orchestration tools such as Amplitude, Tableau, Hex, and Airflow.
- Knowledge of Agentic Tooling (Claude, Jules, or Codex) is a must.
- Degree in a quantitative field such as statistics, economics, math, or engineering.
- Professional proficiency in English, written and spoken.
Culture & Benefits
- Work in a fast-paced, scrappy team that values experimentation and innovation.
- High-energy, close-knit, and collaborative environment.
- Opportunity to shape the future of travel with a company backed by top Silicon Valley investors.
- Focus on ownership and personal stake in the success of the product.
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