Senior Data Scientist

Possible is a mission-driven fintech company helping everyday Americans build financial health through access to fair affordable credit. Our data team sits at the center of a growing company building the models metrics and experimentation infrastructure that powers how Possible makes decisions measures performance and operates with rigor at scale.

We are seeking a Senior Data Scientist to work at the intersection of payments performance optimization and fraud owning the analytical systems that govern how reliably money moves between Possible and our customers. This role expands our capacity to treat repayment as a designed experience rather than a back-end process building payments that work with the rhythm of our customers financial lives.

You will own the data science behind how money moves at Possible. Youll define and build the payments-health scorecard the company runs on along with the monitoring that surfaces anomalies at the channel and experiment level within days. Youll own how we time payments sharpening how we identify a customers pay cycle and designing retry strategies that work with it rather than against it so that more payments clear on the first attempt: fewer failed-payment fees for customers better recovery for the business. And youll redefine how Possible understands payments fraud building recurring reporting on the patterns that matter and developing a model that scores the risk of a new payment method or a payment that may not clear.

Youll work in Python SQL and PySpark on Databricks with Datadog for monitoring and standard MLOps tooling for deployment. Youll partner with Engineering Product and Risk to develop the payment strategy as an input to the engineering roadmap.

Must-Have

This role requires depth in the data science fundamentals and payments domain knowledge. You should have experience with modeling production monitoring and experiment design and an in-depth understanding of payment rails (ACH RTP card and interchange) and payment behavior. Hands-on production ML development is essential: you have built a model deployed it watched it drift and retrained it using tooling like XGBoost and MLflow or their equivalents. You bring strong Python and SQL plus comfort with large datasets in a distributed environment such as PySpark on Databricks experimentation and causal inference skills and the judgment to know which method a question calls for as well as feature engineering instincts for transactional data. You hold a high bar for your own work: you understand your data before you draw conclusions from it and youd rather find the flaw in your analysis yourself.

Preferred

Preferred experience includes a track record of cross-functional collaboration that has shaped another teams roadmap rather than just informed it and hands-on experience with observability tooling such as Datadog.

Nice-to-Have

Direct fraud modeling experience and a background in collections recovery or lending operations in a regulated space are nice to have.

How we work. We expect you to act with ownershipyoull be defining what healthy payments means here not waiting for a spec. We take a scientific approach: rapid experimentation intellectual honesty and a willingness to change your mind when the data says so. And this role is mission-driven in a concrete way because the strategies you design touch real peoples bank accounts. We optimize for customers ending up better off not just for dollars collected.

Possible Finance is on a mission to help communities break the debt cycle and unlock economic mobility for generations to come. With the backing of our venture investors (Union Square Ventures Canvas Ventures Euclidean Capital Unlock Venture Partners) a loyal following of hundreds of thousands of customers and a fantastic team were unwavering in our fight for financial fairness. As one of only a few fintech Public Benefit Corporations weve baked our dual commitment to building a profitable and socially impactful company right into our charter; we only succeed when our customers do too. If youd like to help us ship financial products that protect consumers from predatory lending practices and promote financial health give us a shout.

This is a Hybrid position. We work in the office three days a week (Monday Tuesday Thursday). Our office is in downtown Seattle.

The compensation range for this role is $175720 to $191000. We also offer significant stock options full benefits a bonus plan commuter benefits and a very desirable office with free drink and food options.

Required Experience:

Senior IC