Czarodzieje.AI

Staff Data Scientist - Growth Alliance (f/m/x)

HelloFresh Warszawa, Wola Senior

31 395–47 093 zł/mies

⚙️ Machine LearningStacjonarnieB2B CONTRACT

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O roli

Your responsibilities, Decisioning, Modeling & Strategy, • Direct and evolve the data and modeling strategy behind customized journeys and funnel decisioning., • Direct complex feature engineering initiatives that improve decision quality, robustness, and scalability., • Design, implement, and evaluate machine learning approaches for large-scale personalization and routing decisions., • Define standards for model validation, monitoring, and experimentation to ensure long-term reliability and impact., , Technical Coordination & Strategy, • Act as a strategic technical resource for Product, Engineering, and Marketing, shaping how decisioning capabilities are embedded into the conversion funnels and experiences., • Drive alignment across technical workstreams on how personalization is measured, iterated, and scaled., • Provide technical frameworks for roadmap and prioritization decisions by framing problems in terms of data, impact, and trade-offs., • Contribute technical assessments to "build vs. buy" decisions related to data science tooling, platforms, and external solutions., , Platform & Enablement, • Define and evolve shared decisioning frameworks and data products used across Conversions and adjacent domains., • Ensure analytical solutions are production-ready, observable, and efficient to iterate on., • Provide high-level technical guidance to other data scientists, setting a high bar for analytical rigor and project impact., , AI & Automation, • Coordinate with engineering teams to bring these capabilities safely into production environments., • Explore how AI and automation can improve decisioning quality, experimentation velocity, and iteration speed. What we offer, Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing., Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations., Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup., End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability., Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Obowiązki

Wymagania

Mile widziane

feature engineeringmachine learningmodel validationexperimentationpersonalizationdecisioning systems