Product Manager Data Science Platform


 

What you'll do

  • Shape the vision and roadmap for data products/capabilities with the Data & Analytics and Product leadership and key business partners
  • Build and maintain the data science platform product backlog, prioritizing it based on larger product roadmap, business value for ML models, research questions, data analyses, visualizations, data infrastructure and engineering tasks
  • Partner with key stakeholders in Product, Design, Engineering, Data Science and Analytics teams to understand broader product initiatives, technical requirements and timelines, translating them into specific action items and requirements for the Data Science team
  • Foster a test & learn environment, experimenting with Minimum Viable Products (MVP) and delivering value early and often
  • Build a strategy to collect, enrich and consume shopper behaviour, merchant and business data
  • Ensure high standards in methods, speed of execution and rapid resolution of delivery issues
  • Evangelize data-as-a-product across Returnly, helping Engineering and Product teams commit to accurate data collection and curation
  • Build reusable platform components to be leveraged by other internal and external facing products
  • Create new and evolve existing data science capabilities across our Product portfolio 
  • Document business and technical data capabilities and collaborate with feature teams to ensure correct and successful implementation
  • Work with product management, design, and engineering to validate the viability, desirability, and feasibility of new data science platform initiatives

What we look for

  • Background in Data Science, Analytics or Data Engineering, hands-on experience training & deploying ML models, creating data processing pipelines or delivering interactive dashboards
  • Proven track record of product management, having led roadmaps and owned product backlogs
  • Excellent communication, interpersonal and negotiation skills with ability to explain technical topics to a non-technical audience and business topics to a technical audience
  • Thriving in ambiguity, ability to navigate well in cross-functional teams
  • Experience with agile methodologies, e.g. Kanban
  • Strong analytical and problem-solving skills, numerical thinking, attention to detail
  • Self-motivated, working independently, intrinsic learner
  • BS in a quantitative discipline like Computer Science (with a focus on Machine Learning, Artificial Intelligence) or related disciplines

Location - Remote Spain

#LI-Remote
Location: Madrid, Madrid, Spain

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