Senior Data Scientist - Menu Personalization

Nasze wymagania: Proven track record of scientific work (Bachelor's, Master's, or PhD) in computer science, statistics, physics, economics, mathematics, or data science. 3+ years of work experience as a data scientist focused on developing and deploying recommender systems or personalized ML models in a production environment. In-depth knowledge of various recommendation algorithms, evaluation metrics, and the practical challenges of maintaining a modern recommender system. Fluency in Python, including high familiarity with its scientific stack (Numpy, Pandas, Scikit-learn, Matplotlib). Experience in Databricks and PySpark is a plus. Technical proficiency in SQL for retrieving, manipulating, and analyzing large datasets. Experience with software development practices and tools such as Git, CI/CD, Docker, and AWS. Expertise in leveraging Generative AI tools (e.g., Claude, Copilot) to support model development, experimentation, and documentation. Exceptional communication capabilities to interact effectively with product managers, UX designers, and business stakeholders. Zakres obowiązków: Become an integral part of a high-impact team covering menu personalization. Contribute to designing and implementing the next generation of recommender models, from experimentation and data collection to operationalization. Shape the future of customer experience by proposing new personalization approaches and evolving statistical and ML models in pace with future company strategies. Design and execute A/B tests to measure the impact of new recommendation strategies on key metrics. Work with state-of-the-art technologies like AWS (EMR, Glue, S3, etc), Kafka, PySpark, Airflow, Databricks, MLFlow, and Claude (AI). Collaborate closely within other functions (data engineering, backend engineering, ML engineering, product) to translate business objectives into concrete strategies. Analyze the performance of models to understand customer behavior and implement technical improvements. Contribute to a collaborative and knowledge-sharing environment, providing technical guidance and coaching to team members and stakeholders. 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).