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

Nasze wymagania: A minimum of 10 years of professional experience with a Master's degree, or a minimum of 5 years of professional experience with a Ph.D. degree, in a quantitative field. Demonstrated expertise in data science, with a strong emphasis on personalization and marketing communications. Deep understanding of machine learning principles and techniques relevant to send personalization and content creation including regression, classification, recommendation systems, clustering, natural language processing, and multi-armed / contextual bandit algorithms. Proven ability to solve complex optimization problems that involve a large number of dimensions and optimization targets. Proven ability to design and interpret A/B tests and quasi-experiments with synthetic controls to validate hypotheses related to the personalized communication strategy stream. Exceptional communication and collaboration capabilities. Experience with customer behavior analysis, segmentation, and identifying high-value actions to drive customer lifetime value. Experience in leveraging Generative AI (GenAI) models (e.g., LLMs) for content generation, including prompt engineering, model evaluation, and fine-tuning to create engaging and personalized customer communications. Zakres obowiązków: 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. Oferujemy: 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).