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 focused on growth. In this role, you'll have the opportunity to leverage data to identify opportunities and drive decision making around our growth efforts, including direct response marketing, SEO/AEO, affiliates and partnerships. 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:

• 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.

• Customizing onboarding flows based on user behavior and expected value to cut onboarding CAC by ⅓ and optimize upsells/CTAs.

Day to day, you will:

• Own the metrics that drive day to day as well as strategic decision making that powers our growth efforts.

• Conduct deep investigative analyses to better understand our users, uncover new insights, and drive decision making in a fast-paced environment.

• Propose, design, and evaluate experiments to test hypotheses and continually improve our product experience.

• Collaborate with cross-functional teams such as product, growth, and engineering, to solve business problems and improve user experiences.

• Create data-apps and reporting to empower the teams you partner with to take action and make better decisions.

• Communicate your results effectively, across an array of stakeholders and technical backgrounds.

• Contribute to the development of best practices, standards, and frameworks for analytics at Found.

To thrive in this role, you have:

• 7+ years in Analytics or Data Science

• Expertise in BigQuery, Python and dbt

• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

• Proven track record of driving business impact through proactive analyses.

You may also have:

• Experience with optimizing paid direct response marketing channels like Instagram and Tiktok, especially targeting SMBs.

• Previous experience working at a fintech.

• Previous startup experience.

• Experience with bookkeeping or taxes and how it relates to self-employment.

Compensation at Found

The anticipated salary range for this role is $163,000- $214,000. 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 (USA)

• 401K, FSA, and Commuter Benefits: We offer all employees access to tax-efficient benefit options alongside competitive base compensation.

• Paid parental leave: Found supports employees through all stages of life, which is why new parents employed by Found qualify for 16 weeks of flexible parental leave.

• Health benefits: Comprehensive medical, dental, and vision benefits and are always 100% covered for employees, 90% covered for dependents.

• Work anywhere: We have Found offices in SF and NYC. For team members who work outside those cities, Found also supports fully remote working.

• Meaningful equity: Everyone on our team should feel and act like an owner, which is why Found offers industry-competitive equity to all of our employees.

• Generous vacation policy: Vacations, appointments, mental health days- take the time you need.

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