EU remote
Senior Business Data Scientist - Data & Transformation services
About this role
Ekimetrics is a global leader in Marketing & Commercial effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing & commercial effectiveness, Customer analytics, Operational excellence, ESG & sustainability. With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services.
We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA. You join as Senior Business Scientist within our Data & AI Transformation Services (DATS). You bridge business, consulting, AI & data expertise: you frame high-value use cases, turn business needs into AI opportunities, and drive adoption.
You work alongside AI, Data and Software Engineers. Clients' Projects Lead the day-to-day relationship with business and CDO/CIO sponsors, and understand their strategic and operational challenges. Frame high-value Data & AI use cases and translate business needs into AI opportunities, from AI ambition and roadmap to Proof of Value and MVP. Depending on the engagement, act as Data & AI Product Owner: own the product vision and backlog, prioritize with business sponsors, write and accept user stories, steer the squad's delivery with the Tech Lead from Proof of Value to MVP and production, and own the related delivery governance and planning.
Align business teams, leadership and ExCo around the AI roadmap and the transformation priorities. Own the business value and adoption of the solutions built by the squad: operating model, usage, impact measurement, Responsible AI and governance. Challenge their feasibility and industrialization with the Tech Lead and the Tech Engineers; you do not build the models yourself, but you are technical enough to challenge and steer GenAI, LLM, agentic and ML solutions.