Data Science Manager, Risk Measurement & Intelligence
- San Francisco, CA, USA
- Employees can work remotely
The Square Risk Machine Learning & Decision Science group develops real-time artificial intelligence and machine learning-driven software and models to optimize for desired behavior, and remove risk from the Square Seller Ecosystem. We are looking for a collaborative Lead for the new Risk Measurement & Intelligence team. This team is developing deep statistical understanding and measurement of our ML modeling apparatus to the effect on money movement across our entire seller ecosystem of products. As a Lead for this group, you will build this new initiative with broad support from the organization.
You will work both in technical lead contributor capacity and as a people/team lead. You will assemble a team to leverage a unique set of technical skills to help us develop a risk oriented data intelligence posture on granular components of our ecosystem and the effect of our models, while evaluating and looking for additional incrementally predictive data assets.
Lead a team of Data Scientists and Analysts and set goals, collaborate, and scale with their partners; an opportunity to grow the team over the next 6-18 months.
Provide mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth; while reporting to the Head of Machine Learning & Decision Science for Risk.
Use modern data science and machine learning techniques to model a granular understanding of our machine learning detection apparatus and the effect on money movement and quantifiable approaches to seller experience.
Validate the efficacy of third-party data assets on increasing performance of multiple risk-based machine learning detection algorithms.
Work with other teams across Risk Machine Learning & Decision Science to build a shared understanding and realize value of incremental data assets in various machine learning training pipelines.
2+ years of experience in a people management role with technical responsibilities
7+ years of data science experience or equivalent
Ph.D. or equivalent experience in Statistics or other Data Science related disciplines
Experience mentoring data scientists and data analysts.
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. Square is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other 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 a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
We want you to be well and thrive. Our global benefits package includes:
- Healthcare coverage
- Retirement Plans
- Employee Stock Purchase Program
- Wellness perks
- Paid parental leave
- Paid time off
- Learning and Development resources
Square, Inc. (NYSE: SQ) builds tools to empower businesses and individuals to participate in the economy. Sellers use Square to reach buyers online and in person, manage their business, and access financing. Individuals use Cash App to spend, send, store, and invest money. And TIDAL is a global music and entertainment platform that expands Square's purpose of economic empowerment to artists. Square, Inc. has offices in the United States, Canada, Japan, Australia, Ireland, Spain, Norway, and the UK.