Senior/Lead Data Scientist, Mention Me

• Track record, typically 4+ years, in applied data science for product or marketing in consumer or SaaS
• Continuous learning mindset: you stay current with generative AI advances, prototype with new models and frameworks, evaluate them critically, and translate useful innovations into practical product improvements. You share learnings and raise the bar for the team
• Hands-on ML skills: feature engineering, propensity or uplift modeling, model evaluation, monitoring
• Strong Python and SQL with the ability to move from notebooks to production code
• Practical data engineering instincts: event schemas, batch jobs, orchestration, data quality guardrails
• Clear communication that translates complexity into actionable narratives for non-technical audiences
• Bias for action and ownership in ambiguous, fast-moving environments

Desirable

• Become one of the top contributors to bring the new product vision live
• Work end to end across metric design, data and modeling, experimentation, and product integration
• Build components of new products that turn real customer signals into timely actions and measurable outcomes allowing customers to amplify consumer voice for LLM visibility advantage. Partner across Product, Engineering, CS, and Commercial to make the human signal visible, actionable, and compounding in the product
• Establish experimentation and measurement foundations: design how we test, learn, and prove impact; embed sound statistical practice; and turn results into simple, trusted narratives that guide product and commercial decisions
• Productionize and scale thoughtfully: ship durable data and model workflows in collaboration with the engineering team, ensure quality and monitoring, and document decisions so the system is reliable, explainable, and easy to evolve