Data Scientist II

BILL•San Jose, CA

16h•$121,700 - $145,800•Remote

About The Position

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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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. Whether in one of our offices in San Jose, CA, Draper, UT, or working remotely, 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. Make your impact within a rapidly growing Fintech Company Our Beliefs: Data reveals hidden truths that enable better investments. Our products are stronger when our roadmaps are data-informed. Great data science and analytics thought partners help product teams be more strategic and successful. The Opportunity: We are looking for an experienced Data Scientist to join our team. This role is a strategic and integral part of our company, supporting the core product platform and partnering with others on the team to unlock value through solutions modeling. This role will give you the chance to own an end-to-end predictive human-in-the-loop solution directly used by Sales and Product teams.

Requirements

Advanced Degree or Proven Experience: Master’s in Data Science, Computer Science, Statistics, Mathematics, or a related field and a minimum of 2 years of experience in a data science role, with a track record of delivering high-impact projects into production.
Technical Expertise: Strong background in statistical analysis, machine learning techniques, and programming languages such as Python or R in a cloud-based environment.
Problem-Solving Skills: Ability to analyze complex business problems and develop data-driven solutions that actually influence the end-user’s workflow.
Communication Skills: Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
Collaborative Mindset: Experience working in cross-functional teams and partnering with other departments to drive business outcomes.

Responsibilities

Model Development: Design, develop, and implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems and extract actionable insights. Think product engagement, card decline, potential to spend, etc.
Data Analysis: Analyze high volume, complex transaction activity to assess patterns and trends for card declines and correlate with other customer outcomes.
Cross-Functional Collaboration: Communicate findings, trade-offs, and limitations clearly with internal and external stakeholders (tech and non-tech) at various levels.
Innovation: Stay updated with the latest developments in data science and machine learning, and apply them to improve existing processes and methodologies. Deploy AI tools that enhance customer insights and engagement, and contribute to improving data confidence and automation in analytics workflows.
Opportunity Identification: Enrich our evolving data stack via contributing to data features/models via AWS Sagemaker/Databrick or other means.