Staff Data Scientist on the Risk team driving experimentation, statistical inference, and causal analysis to inform strategic decisions. Requires 7-10 years of DS experience, strong SQL/Python, and proven impact influencing leadership.
186k – 230k
Hybrid7+ YOEData Science
About the role
Responsibilities
Partner with stakeholders to translate ambiguous questions into clear, testable analyses and communicate actionable insights
Define and track metrics to understand business performance; dive deep into risk stack data to deliver insights
Use statistical reasoning, experimentation frameworks, and causal inference to separate signal from noise
Design and interpret experiments; define success metrics and measure impact
Own end-to-end delivery of analyses and metrics for the product area
Integrate AI-assisted practices to accelerate analysis and expand insights
Mentor others and raise the bar for data science craft across the team
Requirements
7-10 years of experience in Data Science at a product-focused software company
Strong SQL skills and comfort with Python
Proven ability to apply statistical methods, causal inference, and experimental design to real business problems
Excellent communication skills with a track record of influencing cross-functional stakeholders and leadership
Demonstrated experience leading technically complex projects with clear business impact
Proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights
Passion for mentoring others
Nice-to-Haves
Experience with Risk DS and risk modeling is strongly preferred
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AbridgeNew York, NY
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InstacartUnited States
As a Senior Data Scientist II on the Core Delivery team, you will identify strategic opportunities to enhance the delivery experience, design and execute rigorous experiments, and leverage geospatial data and advanced analytical techniques to optimize delivery. You will also proactively identify high-risk delivery scenarios and develop solutions.