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Job description
Do the best work of your career as a champion for small and mid-size businesses.
BILL is a leader in financial automation software for small and midsize businesses (SMBs). As a champion of SMBs, we are dedicated to automating the future of finance so businesses can thrive. Hundreds of thousands of businesses trust BILL solutions to manage financial workflows, including payables, receivables, and spend and expense management. With BILL, businesses are connected to a network of millions of members, so they can pay or get paid faster. Through our automated solutions, we help SMBs simplify and control their finances, so they can confidently manage their businesses, and succeed on their terms.
BILL is a trusted partner of leading U.S. financial institutions, accounting firms, and accounting software providers. We have operations in San Jose, CA, Draper, UT, Houston, TX and are continuing to expand into other geographic locations. If you’re looking for a place that helps you do the best work of your career, look no further than BILL.
Make your impact within a rapidly growing Fintech Company
We are looking for a detail oriented, enthusiastic and dedicated Staff Risk Data Scientist to join Bill’s Risk Data Innovation team with a focus on fraud and credit risk. The incumbent will be working on data science projects related to key risk department initiatives. The data scientist will own key projects associated with predictive fraud detection, transaction risk modeling, credit underwriting, portfolio monitoring and loss mitigation (fraud & credit) to support new payment products. This individual will also design experiments to understand the impact of customer experience when leveraging machine learning in complex risk strategy changes. This position requires a person who has experience with developing machine learning models and performing advanced analytics preferably in the risk domain.
We’d love to chat if you have:
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
Machine learning techniques include clustering, classification, regression, decision trees, neural nets, anomaly detection etc.
Ability to clearly communicate complex results to technical experts, business partners, and executives
Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes
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 team
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
The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.
San Jose pay range
$167,400—$200,700 USD
Let’s talk about benefits
100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
HSA & FSA accounts
Life Insurance, Long & Short-term disability coverage
Employee Assistance Program (EAP)
11+ Observed holidays and wellness days and flexible time off
Employee Stock Purchase Program with employee discounts
Wellness & Fitness initiatives
Employee recognition and referral programs
And much more
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Worksite address
san jose, CA, 95199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.