Philip Spalding

Lead Data Scientist, Decisioning Sciences at Extend

Philip Spalding's work experience includes roles as a Lead Data Scientist in Decisioning Sciences at Extend, where they developed a high-accuracy product classifier. Prior to this, they worked as a Senior Data Scientist in Merchant Intelligence at Extend. Philip'sprevious experience includes working at Deloitte as an M&A Advisory Data Analytics Manager, where they advised on potential acquisitions and developed data analytics tools. Philip also worked as an Audit Senior during their time at Deloitte.

Philip Spalding completed their Bachelor of Arts degree in Business Management Economics at the University of California, Santa Cruz, from 2009 to 2014. Philip then pursued a Master's of Financial Engineering degree at the University of California, Berkeley, Haas School of Business, from 2021 to 2022. Additionally, they obtained various certifications including a Deep Learning Specialization from Coursera in 2020, a Machine Learning Engineer Nanodegree and Deep Reinforcement Learning Nanodegree from Udacity in 2019, a Chartered Financial Analyst (CFA) certification from the CFA Institute in 2018, and a Certified Public Accountant certification from the California Board of Accountancy in 2015.

Location

Bend, United States

Links

Previous companies


Org chart

No direct reports

Teams


Offices

This person is not in any offices


Extend

2 followers

Extend leverages cutting-edge technology to provide a better way for customers to protect the products they love. Our digitally-native solution delivers a modern experience that is a win for both merchants and their customers.


Employees

51-200

Links