Staff Data Scientist - Retirement Platform
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La posizione
Lead ambiguous problems with an AI-native approach, design analysis frameworks, and introduce structure that scales across multiple product domains.
Strategic Partnership: Collaborate with product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategy, and guide data-informed decision-making.
Analytical Rigor: Apply advanced statistical methods, causal inference, and experimentation to surface drivers of product performance, separating signal from noise.
Experimentation & Measurement: Design, analyze, and interpret experiments; leverage AI tools and workflows to ensure insights highlight trade-offs and limitations based on sample size and data quality.
Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines.
Communication, Agility & Mentoring: Present complex findings to technical and non-technical stakeholders; operate with agility and mentor others to raise data-science craft across the organization.
Strategic Partnership: Collaborate with product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategy, and guide data-informed decision-making.
Analytical Rigor: Apply advanced statistical methods, causal inference, and experimentation to surface drivers of product performance, separating signal from noise.
Experimentation & Measurement: Design, analyze, and interpret experiments; leverage AI tools and workflows to ensure insights highlight trade-offs and limitations based on sample size and data quality.
Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines.
Communication, Agility & Mentoring: Present complex findings to technical and non-technical stakeholders; operate with agility and mentor others to raise data-science craft across the organization.
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