Fullstack Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Fullstack Data Scientist (AI): Developing data models and analytical pipelines to drive decision-making across the marketplace platform with an accent on machine learning implementation, operational KPI tracking, and data visualization. Focus on scaling AI-driven agentic layers, building internal self-serve data capabilities, and providing strategic insights to leadership.
Location: On-site in Portugal
Company
is a global marketplace connecting travelers with short-term luggage storage across thousands of small business locations worldwide.
What you will do
- Partner with cross-functional teams to translate analytical insights into actionable business strategies.
- Track operational metrics, develop expansion strategies, and forecast capacity needs.
- Design and maintain data pipelines and build frameworks for monitoring store partner performance.
- Improve the Data Focused Agentic Layer and implement machine learning solutions at scale.
- Develop A/B testing tooling and implement attribution models to optimize marketing ROI.
- Build self-serve data capabilities to empower internal business operations.
Requirements
- Proven experience with visualization and orchestration tools like Amplitude, Tableau, Hex, or Airflow.
- Deep understanding of data warehousing concepts, big data technologies, and analytics platforms.
- Proficiency in Agentic Tooling such as Claude, Jules, or Codex.
- Strong communication skills with the ability to influence cross-functional stakeholders.
- Ability to drive observability and data quality frameworks to maintain stakeholder trust.
- Experience in implementing machine learning models and segmentation frameworks.
Culture & Benefits
- Fast-paced, collaborative, and results-oriented team environment.
- Opportunity to contribute to a rapidly growing, VC-backed global travel tech company.
- High-impact role with direct access to senior leadership and strategic decision-making.
- Focus on experimentation and rapid innovation within the travel and logistics space.
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