Senior Data Scientist, Model Strategy Management

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

The Quantitative Finance Team is a dynamic group of machine learning modelers, data scientists, former strategy consultants, and data engineers. We leverage cutting-edge AI, graph analytics, and machine learning algorithms to solve complex business challenges for Cash App and the broader Block organization.

We are seeking a Senior Data Scientist to support our ML Business Modeling team within the Quantitative Finance group. This role requires a strong sense of business strategy, data science expertise, as well as project and product management skills. A successful candidate will lead the development of business models, manage project timelines, and set up a strategic roadmap for model development for both Square and Cash App. A critical aspect of this role is collaborating with both engineering teams and business stakeholders to “bridge the gap”, ensuring successful implementation and alignment with company goals.

You Will

• Lead the development and implementation of advanced predictive models to support strategic business decisions.
• Manage project timelines and deliverables, ensuring the timely completion of data science initiatives.
• Prioritize model development efforts based on business impact and strategic objectives.
• Collaborate with engineering teams to build and maintain robust end-to-end data pipelines.
• Conduct early-stage analysis to inform model development, leveraging business intuition to suggest key drivers and features.
• Review model implementation to ensure alignment with business expectations.
• Interface with business stakeholders to gather requirements and ensure models meet business needs.
• Provide business guidance and mentorship to data scientists and machine learning engineers.
• Explore improvements to business analytics using LLMs and other productivity tools.

You Have

• 5+ years of experience in finance, economic analysis, data science, consulting, or a related field, with a focus on applying analytic tools to business problems
• Proficiency in SQL and advanced analytics tools.
• Strong understanding of statistical and machine learning modeling concepts.
• Experience in project management, with the ability to manage multiple projects and deliverables simultaneously.
• Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
• Demonstrated ability to work collaboratively across teams and functions.

Technologies We Use and Teach

• SQL
• Python (Streamlit, Sklearn, Prefect)
• GitHub
• Databricks

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build an inclusive workplace? Check out our Inclusion & Diversity page