Data Scientist - Model Strategy Management

What You'll Do

Problem Framing & Product Strategy

• Own the forecasting product roadmap end-to-end — from problem definition through launch and iteration
• Define business context, success metrics, and constraints that keep work aligned with strategic goals
• Serve as the source of truth for model decisions; maintain clear documentation as systems evolve
• Manage project flow: prioritization, timelines, dependencies, and cross-functional alignment

Data & Signal Engineering

• Partner with ML engineers to ensure models are grounded in a clear, well-articulated understanding of the data
• Conduct in-depth data analysis to inform model design — segmentation, feature engineering, and evaluation strategy
• Leverage AI tools to explore data, generate hypotheses, accelerate analysis, and synthesize insights
• Analyze forecast results to identify trends, variances, and actionable recommendations for model performance

Stakeholder Communication & Adoption

• Translate complex analytical concepts for diverse audiences — executives, finance partners, technical MLEs, and marketing teams
• Drive adoption through in-product education, documentation, and feature rollout strategies
• Build relationships across Block to understand user needs and evangelize forecasting capabilities

What You Bring

• 6+ years in product management, management consulting, data science, model analytics or a hybrid analytical role
• Hands-on SQL proficiency and experience with Python (or R) for data analysis
• Strong understanding of forecasting models, time-series analysis, and ML applications
• Experience in financial services, fintech, or consumer finance — you understand how macroeconomic shifts and monetary policy influence consumer behavior
• Executive presence — you can distill complex topics into clear, concise narratives for technical and non-technical audiences alike
• Proven ability to manage multiple workstreams, drive alignment, and deliver in ambiguous, fast-moving environments
• Comfort operating at both the strategic level (roadmap, stakeholder management) and in the weeds (data exploration, model evaluation)
• Prior experience at strategy consulting firm or in a cross-functional analytics/strategy role at a fintech or technology company
• Bachelor's or Master's degree in Business, Economics, Statistics, Computer Science, or a quantitative field
• Familiarity with our stack: SQL, Python, GitHub, Databricks, Claude