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Full-Time

Staff Risk Data Scientist

Posted on 2/3/2024

Bill.com

Bill.com

1,001-5,000 employees

Online bill payment and AP automation software

Consulting
Enterprise Software
Fintech
Financial Services

Compensation Overview

$167.4k - $200.7kAnnually

Senior

San Jose, CA, USA

Category
AI & Machine Learning
Data & Analytics
Required Skills
Python
Data Science
SQL
Data Analysis
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

At this company, employees thrive in an environment that emphasizes the use of AI and automation technology to streamline financial processes, making bill payments and receivables more efficient for businesses. The firm stands out for its commitment to enhancing AP controls and ensuring secure payment processing, which are critical in the financial technology sector. Working here means being at the forefront of integrating advanced technologies with everyday financial operations, offering a competitive edge and a focus on technical excellence.

Company Stage

IPO

Total Funding

$2B

Headquarters

Palo Alto, California

Founded

2006

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-1%

2 year growth

6%

Benefits

100% paid employee health, dental, and vision insurance - choose between HMO, PPO, and HDHP plans

HSA & FSA accounts

Life Insurance, Long & Short-term disability coverage

Pre-tax commuter benefits

Employee Assistance Program (EAP)

11+ Observed holidays and wellness days

Wellness & Fitness initiatives

Flexible time off

100% paid employee health, dental, and vision insurance - choose between HMO, PPO, and HDHP plans

HSA & FSA accounts

Life Insurance, Long & Short-term disability coverage

Pre-tax commuter benefits

Employee Assistance Program (EAP)

11+ Observed holidays and wellness days

Wellness & Fitness initiatives

Flexible time off

INACTIVE