Senior Data Scientist (Product)

  • Divvy
  • Utah, USA
  • Dec 11, 2021

Job Description

About the company
At Divvy, Our vision is to become the modern software bank for business of every small-to-medium business in America. Our FREE financial SaaS platform enables businesses to spend smarter by providing instant insight and transparency into company-wide spend and the ability to easily manage it; all in real-time! (+ many more features!)
In June 2021, Divvy joined forces with through a $2.5 billion dollar acquisition, validating our mission to build the one-stop-shop for business finances. With 500+ mission-driven employees and extreme monthly growth, we’re well on our way.
*All positions at Divvy are eligible for remote work - within the United States*
About The Position
We are investing heavily in machine learning at Divvy.  Next year, we are increasing the number of data scientists working on our cross-functional development teams and also the infrastructure needed to continuously deliver machine learning models that improve the experience of using Divvy.  You will have the opportunity to help architect our machine learning infrastructure and work with product managers to identify analytical areas of growth, create customer-facing machine learning models, and show that value with A/B testing.
Additionally, team members collaborate with Product leadership to identify high-impact opportunities, define analytical roadmaps, and help drive toward those opportunities.

What You'll Be Doing

  • Designing, implementing and delivering machine learning models in a production AWS environment to enhance our application (using Python’s machine learning libraries, SageMaker, Kafka, SeldonCore, Snowflake, Git, GitLab CI/CD, Splunk, etc.)
  • Apply your expertise in deep learning, quantitative analysis, data mining, and the presentation of data to see beyond the numbers to increase revenue and improve our competitive position
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities with machine learning
  • Inform, influence, support, and execute our product decisions and product launches


  • You have 5+ years of experience in a Data Science role solving high-impact business problems and a demonstrated track-record of high-impact projects in production
  • You have a Master’s degree in a quantitative or technical field (Statistics, Computer Science, etc.)
  • You have strong programming skills (Python or similar)
  • You have experience working with Product leaders and technical decision-making (A/B testing, project prioritization, development, and monitoring)
  • You have experience translating and presenting technical results to non-technical stakeholders and senior leadership
  • You are a creative problem-solver, who proactively finds and identifies simple solutions to challenging, open-ended problems

Bonus Points

  • You have a doctorate degree in a quantitative or technical field (Statistics, Computer Science, etc.)
  • You have experience working as a Data Scientist at a technology or fin-tech company
  • You have led model development/deployments with AWS Sage-maker and other AWS services
Total rewards
At Divvy, we’ve been intentional in designing scalable benefits, rewards, and perks that meet our workforce where they are while managing expectations as we scale. Just as pay parity was foundational for us in base salary, and remains our commitment and priority, our total rewards programs reflect our commitment to inclusivity and access for all.
At Divvy, you’ll enjoy:• Health insurance premiums for all Full-Time employees covered at 100%• Stock grants for salaried employees • Unlimited PTO for Full-Time employees / Accrued PTO for Part-Time/Hourly employees• 401K• FlexWork - you choose how you work whether it be remote (anywhere in the USA), in-office, or some combination of the two• 12 weeks paid parental leave for all Full-Time employees
Perks are nice, but perks don’t make a company or individual successful - the work does. At Divvy, we’re building the financial nervous system of business - faster, better, smarter, and the work compels us to show up each day for our customers and our teams while feeling well supported in our benefits.
**We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.**