Role Overview

The Data Scientist - Model Strategy Management position at Block is at the heart of transforming data into strategic gold. Part of the AIM team, you'll develop scalable predictive models for key metrics like revenue inflow/outflow, customer lifetime value (CLV), and sales prospect value. These models empower Finance, Marketing, Sales, Product, and Risk teams with data-driven insights for high-confidence decisions.

Block's AIM team is known for rapid execution, full-stack model ownership, and a collaborative vibe that attracts top talent. As a Data Scientist, you'll bridge engineering and business, leading model development from ideation to deployment. With a focus on economic insight and ML expertise, you'll manage timelines, test performance, and explore LLMs for analytics innovation. Located in the Bay Area, this role suits mid-to-senior professionals ready to impact a global fintech leader.

Block's mission of economic empowerment means your work directly influences millions. From forecasting revenue to optimizing customer engagement, your models will scale across business units. If you excel in Python, predictive modeling, and stakeholder collaboration, this Data Scientist career at Block is designed for you.

Key Responsibilities

In this role, you'll wear multiple hats: strategist, modeler, and communicator. Here's what your day-to-day looks like:

• Lead the development and implementation of advanced predictive models supporting strategic decisions in revenue and customer metrics.
• Manage end-to-end project timelines, ensuring data science deliverables align with business cadences.
• Prioritize modeling efforts by assessing business impact and ROI potential.
• Partner with ML engineers to design and maintain scalable data pipelines from raw data to insights.
• Perform exploratory analysis to pinpoint features and drivers using economic and product intuition.
• Execute parallel modeling experiments to validate assumptions and meet reporting SLAs.
• Gather and refine requirements through stakeholder interviews across departments.
• Innovate with LLMs to automate analytics workflows and enhance forecasting accuracy.
• Build and own model performance testing frameworks for ongoing monitoring.
• Translate ambiguous business problems into precise, modelable frameworks.
• Scale models for enterprise use, integrating with tools used by Finance and Sales.
• Champion data literacy and best practices in a cross-functional environment.
• Contribute to team culture through bold ideas and collaborative problem-solving.

These responsibilities demand a proactive mindset, blending technical depth with strategic vision—perfect for data scientists seeking real business influence.

Qualifications

To succeed, bring these credentials:

• Bachelor’s (5+ years exp) or Master’s (3+ years) in data science, finance, economics, or related fields with business analytics focus.
• Deep expertise in forecasting, time series, predictive modeling, and value estimation via stats/ML.
• Advanced Python skills; proficient in Pandas, NumPy, Scikit-learn, XGBoost, or deep learning frameworks.
• Experience with SQL, ETL processes, and cloud platforms like GCP/AWS for data pipelines.
• Proven project management in fast-paced data science environments.
• Business savvy: ability to link models to KPIs like CLV, churn, and revenue attribution.
• Stakeholder management across technical and non-technical teams.
• Hands-on with LLMs (e.g., GPT models) for generative analytics.
• Strong statistical foundation: hypothesis testing, causal inference, experiment design.
• Excellent communicator; experience presenting insights to executives.

Bonus: Fintech or e-commerce experience, familiarity with Square/Cash App ecosystems.

Salary & Benefits

Block offers competitive compensation for Data Scientists in the Bay Area: estimated $160,000 - $240,000 USD yearly, plus equity. Total rewards include:

• Comprehensive medical, dental, vision coverage.
• 401(k) with generous matching.
• Unlimited PTO and flexible hours.
• Professional growth stipends ($5K+ annually).
• Parental leave (16+ weeks paid).
• Wellness perks, commuter benefits, ESPP.
• Snacks, meals, and team events.

This package reflects Block's commitment to attracting top data science talent.

Why Join Block?

Block isn't just a job—it's a mission. United by economic empowerment, we build tools like Square and Cash App that serve millions. The AIM team is trusted for transformative impact, offering autonomy, rapid iteration, and global reach. Bay Area location means proximity to innovation hubs, with hybrid flexibility.

Expect a magnetic culture: curiosity-driven, high-standards, collaborative. Grow with peers who blend ML with business savvy. Your work on predictive metrics will directly fuel growth, from optimizing ad spend to risk modeling. Join a company where challenges spark possibilities—bring your perspective to Block.

Candidates rave about the ownership, speed, and non-corporate vibe. In fintech's heart, scale your impact while enjoying top-tier perks.

How to Apply

Ready to apply for this Data Scientist role at Block? Submit your resume, cover letter highlighting ML projects and business impact, and GitHub/portfolio. Tailor to AIM's focus on strategy and modeling. Block values diverse perspectives—EEO employer. Interviews include technical coding, case studies, and stakeholder simulations. Apply now and empower economic futures!