Principal Data Scientist
Core
Define measurement frameworks, success metrics, and KPIs to evaluate strategic investments, prioritize opportunities, and assess product and business outcomes for large-scale consumer products.
Role type
Principal Data Scientist (Decision Science & AI Evaluation)
Builds
Scalable measurement systems, evaluation frameworks, and best practices for experimentation and decision quality.
Domain
Technology (Consumer Products) + Data Science + AI Evaluation
Deliverable
production ML models | dashboards & analysis | research
Required skills
Statistical inference, causal analysis, forecasting, metric design, A/B testing, Python, SQL, R, product analytics, customer measurement, engagement analysis, growth, retention, monetization, Generative AI, LLMs, Responsible AI principles, large-scale data platforms (Spark, Cosmos, Hadoop)
Preferred skills
Modern AI-assisted analytical workflows, AI quality measurement frameworks, experience with copilots, recommendation systems, search, or intelligent customer-facing products
Responsibilities
Define measurement frameworks and success metrics for critical initiatives; Partner with senior leaders to frame complex business questions and translate ambiguity into actionable decisions; Develop reusable methodologies and analytical frameworks; Communicate insights, risks, and recommendations to senior leadership; Mentor and guide data scientists through technical reviews and coaching; Champion modern AI-assisted analytical workflows while maintaining scientific rigor; Design and operationalize offline and online evaluation methodologies to assess quality, reliability, usefulness, and customer value.
Seniority
Principal, strategy & mentorship