Python Programming, SQL, Machine learning techniques, Data science techniques, Effective communication skills
We are looking for a detail oriented, enthusiastic and dedicated Senior Risk Data Scientist to join Bill’s Risk Data Innovation team with a focus on 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 modeling for underwriting, credit assessments and credit loss mitigation to support existing and 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 and also partnering with cross functional stakeholders.
We’d love to chat if you have:
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
$126,900 - $151,800 USD
What’s in it for you?
Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well.
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BILL (NYSE: BILL) stands at the forefront of financial automation software for small and midsize businesses (SMBs), championing the advancement of finance automation to foster business prosperity. Trusted by hundreds of thousands of businesses, BILL's solutions empower organizations to efficiently handle financial workflows, encompassing payables, receivables, and spend and expense management.