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Full-Time

Senior Risk Data Scientist

Machine Learning

Posted on 6/5/2024

Bill.com

Bill.com

1,001-5,000 employees

Online bill payment and AP automation software

Consulting
Enterprise Software
Fintech
Financial Services

Compensation Overview

$107.8k - $129.1kAnnually

+ Bonus + Equity Plan

Senior

Draper, UT, USA

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
SQL
Data Analysis
Requirements
  • Minimum 4 years of industry experience in data science and machine learning, preferably in risk, payments, or financial services domain
  • Advanced degree (M.S., PhD.) with 4+ years of working experience or a Bachelor’s degree with 6+ years of experience, 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
  • Experience solving problems related to risk using data science and analytics
  • Experience working with cross-functional teams and leading organization-wide initiatives
  • Ability to proactively find pain points in current process flows and provide sustainable business solutions
  • Comfortable with ambiguity and able to steer analytics projects toward clear business goals
  • Experience with machine learning techniques such as clustering, classification, regression, decision trees, neural nets, anomaly detection
  • Excellent communication skills to convey complex results to technical experts, business partners, and executives
Responsibilities
  • Work on data science projects related to key risk department initiatives
  • Own key projects associated with transaction risk modeling, credit underwriting, portfolio monitoring, and loss mitigation
  • Design experiments to understand the impact of customer experience when leveraging machine learning in risk strategy changes
  • Communicate complex results to technical experts, business partners, and executives
  • Solve problems related to risk using data science and analytics
  • Work with cross-functional teams and lead organization-wide initiatives
  • Proactively find pain points in current process flows and provide sustainable business solutions

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