Summary

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

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

You Have

1. 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
2. Proficiency in SQL and advanced analytics tools.
3. Strong understanding of statistical and machine learning modeling concepts.
4. Experience in project management, with the ability to manage multiple projects and deliverables simultaneously.
5. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
6. Demonstrated ability to work collaboratively across teams and functions.

Technologies We Use and Teach

1. SQL
2. Python (Streamlit, Sklearn, Prefect)
3. GitHub
4. Databricks

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. 

Zone A:

$198,000—$297,000 USD

Zone B:

$188,100—$282,100 USD

Zone C:

$178,200—$267,400 USD

Zone D:

$168,300—$252,500 USD

Skills

• Communications Skills
• Database Management
• Development
• Leadership
• Software Engineering
• SQL
• Team Collaboration