Data Scientist

Draper, Utah, United States

BILL

The AP, AR, and spend & expense solution that lets you create and pay bills, manage expenses, control budgets, and get the credit your business/firm needs to grow.

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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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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.

 

At BILL, we listen, learn, and lead—fostering collaboration and a drive for continuous growth. We’re committed to building a diverse and inclusive workplace that values each person’s unique skills and experiences. Even if you don’t meet every requirement, 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.

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.

Make your impact within a rapidly growing Fintech Company

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 new role will give you the chance to own an end-to-end predictive human-in-the-loop solution directly used by Sales and Revenue teams.

  • Advanced Degree: Master’s in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Technical Expertise: Strong background in statistical analysis, machine learning techniques, and programming languages such as Python or R in a cloud-based environment.
  • Proven Experience: Minimum of 2 years of experience in a data science role, with a track record of delivering high-impact projects into production.
  • 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.

We’d love to chat if you have:

  • Model Development: Design, develop, and implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems and extract actionable insights. Think attrition, 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 effectively with internal and external stakeholders to define the business problem, its scope and then present findings and recommendations to a multi-level audience.
  • Innovation: Stay updated with the latest developments in data science and machine learning, and apply them to improve existing processes and methodologies.
  • Opportunity Identification: Enrich our evolving data stack via contributing to data features/models via dbt or other means.

The estimated base salary range for this role is noted below for our office location in Draper, UT. Additionally, this role is eligible to participate in BILL’s bonus and equity plan. 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.

Draper UT pay range$99,500—$119,300 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. 

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 that values diversity and inclusion. 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.

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Category: Data Science Jobs

Tags: Computer Science Data analysis dbt FinTech Machine Learning Mathematics ML models Python R Statistics

Perks/benefits: Career development Competitive pay Equity / stock options Fitness / gym Flex hours Flexible spending account Flex vacation Health care Insurance Salary bonus Startup environment Wellness

Regions: Remote/Anywhere North America
Country: United States

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