Staff Risk Data Scientist
Posted on 2/3/2024
Bill.com

1,001-5,000 employees

Bill payment platform for businesses
Company Overview
Bill.com's mission is to make it simple to connect and do business. The company makes paper-based manual transaction processing obsolete by transforming how customers manage their cash inflows and outflows, creating efficiencies and freeing customers to run their businesses.
Fintech

Company Stage

N/A

Total Funding

$2B

Founded

2006

Headquarters

San Jose, California

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

4%

2 year growth

7%
Locations
San Jose, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
SQL
Data Analysis
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • Minimum 6 years of industry experience in data science and machine learning, preferably in risk, payments or financial services domain
  • An advanced degree (M.S., PhD.), preferably in Statistics, Physical Sciences, Computer Science, Economics, Mathematics, or a related technical field
  • Strong track record of performing data analysis and statistical modeling using Python, SQL or similar tools
  • Mastery of a wide range of Machine Learning techniques, tools, and methodologies with a demonstrated capability to apply them to a broad range of business problems and data sources
  • Ability to clearly communicate complex results to technical experts, business partners, and executives
  • Experience solving problems related to risk using data science and analytics
  • Experience working with cross functional teams including product, engineering and operations and leading organization-wide initiatives spanning multiple teams
  • Ability to proactively find the pain points in the current process flows and make business suggestions that are sustainable and able to have long term impact by leveraging strategic thinking, and independently provide solutions to business problems with the solid technical skills and problem solving skills
Responsibilities
  • Working on data science projects related to key risk department initiatives
  • Owning key projects associated with predictive fraud detection, transaction risk modeling, credit underwriting, portfolio monitoring and loss mitigation (fraud & credit) to support new payment products
  • Designing experiments to understand the impact of customer experience when leveraging machine learning in complex risk strategy changes
  • Steering analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes
Desired Qualifications
  • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes