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