Credit Risk Strategy Data Scientist
Bill.com is hiring a Credit Risk Strategy Data Scientist for a remote role open to applicants in United States. Level rates it ; you can apply on Bill.com.
Level's read on this job
- Uses AI ●●○○ is how Level rates this data scientist role: an ordinary role that requires AI tools.
- The posting lists this role as remote.
- Tools and skills the posting cites include SQL, Python and Tableau.
- Level lists 42 other open roles at Bill.com.
- The role was posted in the last few days.
AI in this role
Drive credit risk strategy frameworks and build advanced analytics, dashboards, and predictive models using Python and SQL.
Innovate with purpose
At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters.
Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. We're remote-first, with office spaces in San Jose, CA and Draper, UT — and opportunities to connect in person when it counts. BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.
BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another.
✨ Let’s give businesses more time for what matters.
BILL is redefining financial automation for small and midsize businesses (SMBs), helping them thrive. As a fintech leader, we revolutionize how SMBs manage finances—from payables and receivables to expense management—connecting millions of members and enabling confident, faster business.
Your Opportunity to Make an Impact
As a Credit Risk Strategy Data Scientist at BILL, you’ll build cutting-edge solutions to replace outdated financial processes. Your expertise will help businesses gain control of their operations, giving them more time for what matters.
What You'll Do
- Lead the way: Drive the development, maintenance, and refinement of risk strategy frameworks and complex rules to achieve ambitious business goals.
- Be a data detective: Use advanced analytics and data science techniques to solve complex business problems. This includes building sophisticated SQL/Python scripts, interpreting results, and influencing decision-making with your findings.
- Collaborate and create: Partner with cross-functional teams, including product, engineering, and operations, to identify new opportunities, establish business requirements, and guide the execution of strategies across the customer lifecycle.
- Build powerful tools: Develop flexible performance dashboards and monitoring tools using platforms like Tableau to provide clear, actionable insights to a variety of audiences.
- Stay ahead of the curve: Identify and execute new opportunities to optimize processes and proactively detect and respond to evolving risk trends.
- Mentor and grow: Help mentor and support junior team members to help them achieve their goals.
What We're Looking For
- Proven experience: Minimum of 3+ years of experience in fraud or credit risk strategy within the fintech, e-commerce, or online payments industry.
- Technical expertise: Proficiency in SQL and Python, with a strong ability to work with large, complex datasets and leverage data science libraries.
- Analytical mindset: Demonstrated ability to use statistics and data science to solve complex, ambiguous problems and drive data-driven decisions.
- Exceptional communication: Ability to clearly and concisely communicate complex results to both technical experts and business leaders.
- Hands-on experience: Direct experience with developing and deploying data-driven and automated monitoring rules, and the ability to find and recommend enhancements for existing processes.
Bonus Points
- Experience in experimental design and data/control governance.
- Experience with customer management or collections strategies for credit products like revolving credit cards or merchant cash advances.
Visa Sponsorship: Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.
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 below. 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. The estimated salary ranges noted below roles in the specific geographic zones
Zone 1: San Francisco Bay Area CA (includes HQ), New York City, Seattle, Los Angeles County$112,700—$135,000 USDZone 2: CA (Non San Francisco Bay Area and Los Angeles County), Austin TX, Massachusetts$101,400—$121,500 USDZone 3: Utah (includes Utah office), Dallas TX, Houston TX, Florida, North Carolina, Illinois, Colorado, Arizona, Georgia, Oregon, Pennsylvania$95,800—$114,800 USDWhat’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.
Here is a preview of some of the amazing benefits here at BILL:
- 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
Don’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.
BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture.
We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com. To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification.
Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.
How we rate this
Credit Risk Strategy Data Scientist at Bill.com rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $166k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where credit risk was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Science, Credit Risk, Analytics, Machine learning, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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