Senior Data Scientist

About Found

The self-employed workforce is a rapidly growing, resilient, and colorful 60 million Americans. But self-employment comes with its own set of challenges : navigating taxes, accounting, bookkeeping, and business banking are just a few. That's where we come in.

Found is building tools that give self-employed people the security and peace of mind that has historically only been possible at big corporations. We're a business bank account that automates taxes and expense tracking because we believe small business owners should spend more time doing what they love and less time on their business finances.

We're looking for kind, resourceful, and passionate people to join us in building the safety net for self-employment.

About this role :

Thanks for your interest in Found! Our Data team is a full stack data organization of highly skilled data scientists, machine learning engineers and data engineers. We're responsible for everything from researching, training, and deploying ML models to detect and stop fraud in real time, to using data to inform the direction that our product teams should take on what to build next. We're a small but experienced team that has worked on diverse and complex problems at companies like Uber, Netflix, and Spotify.

We're excited to add a Senior Data Scientist to our team. In this role, you'll have the opportunity to leverage data to identify product and business opportunities and drive decision making. At Found, you won't just answer "what happened", you'll be responsible for pointing the way and rallying others around what we should do next. We're looking for someone who's naturally curious and proactive and who is excited to dive in and immediately play a critical role impacting company-level strategic priorities.

Some recent team accomplishments include :

• Customizing onboarding flows based on user behavior and expected value to cut onboarding CAC by ⅓ and optimize upsells / CTAs.
• Developing payback projection data models that build LTV and payback curves by revenue source, signup channel, and day.
• Building company understanding of the virality of our product by modeling and visualizing network graphs through multiple layers and connection types.
• Researching, training, and deploying an XGBoost model that predicts a user's LTV to better shape our ad targeting and user acquisition strategy.
• Optimized the payout structure for growth and affiliate partners to maintain cost efficiency while incentivizing them to bring us more high-value users.

Day to day, you will :

To thrive in this role, you have :

You may also have :

Compensation at Found

The anticipated salary range for this role is $163,000- $210,000. The salary range listed represents the low and high end of the anticipated salary range for this position across all US locations. Within the range, individual pay is determined by several factors including job-related skills, experience, and relevant education or training. Our competitive base salary is just a piece of Found's total compensation package. Found offers a generous benefits package to all employees see our list below or check out found.com / careers to learn more!

#LI-DNI

About You

Found is built by a team that comes from a variety of backgrounds and experiences, and we firmly believe that diversity, equity, and inclusion are crucial to our success. As we grow, we're searching for passionate and motivated team members who are excited to bring their skill set to the team and are ready to learn from others.

If you are looking for a role where you will have the opportunity to make a meaningful contribution and great impact, we would love to hear from you!

Perks & Benefits of Found

To learn more about our benefits or the team please go to found.com / careers.