Senior Data Scientist - Growth

Want to help everyday Americans invest and build wealth? Financial inequality is increasing, and too many people are getting left behind. At Stash, we are passionate about democratizing wealth creation through education, advice, and products that help customers achieve greater financial freedom.

We're looking for a Senior Growth Data Scientist to join our team. You'll play a critical role in driving our company's growth by using data to identify opportunities, optimize user acquisition and retention, and inform product strategy. The ideal candidate is a curious, data-driven individual with a strong background in statistics, machine learning, and business analytics.

This role is for someone who is not just a data analyst but a strategic partner in the growth of our company. You'll be at the forefront of decision-making, using data to directly influence how we acquire and retain users. If you're passionate about leveraging data to solve complex business problems and drive tangible results, we encourage you to apply.

What you'll do :

• Analyze Growth Funnels : Deeply analyze user behavior across the entire customer lifecycle, from acquisition and activation to retention and referrals. Identify key drop-off points and opportunities for improvement.
• Build Predictive Models : Develop and deploy machine learning models to predict user churn, lifetime value (LTV), and conversion probabilities. Use these insights to personalize user experiences and optimize marketing campaigns.
• Design and Analyze A / B Tests : Partner with product and marketing teams to design, execute, and analyze A / B tests and other experiments. Use statistical rigor to measure the impact of new features and campaigns.
• Optimize Marketing and Product Decisions : Work closely with Growth teams to drive data-driven decision making. Use techniques like attribution modeling to understand which channels are most effective, and incrementally testing to measure the true impact of marketing campaigns.
• Build and Maintain Data Models : maintaining and developing data models in our data mart to ensure data is clean, accessible, and reliable for business analysis.
• Develop Dashboards and Reports : Create and maintain dashboards and reports that provide stakeholders with a clear, real-time view of key growth metrics (e.g., DAU / MAU, churn rate, LTV, CAC).
• Collaborate Cross-Functionally : Work closely with product managers, engineers, and marketers to translate data insights into actionable strategies that drive growth.
• Communicate Insights : Effectively communicate complex findings and recommendations to both technical and non-technical audiences through presentations, reports, and clear visualizations.

What we're looking for :

Programming : Proficiency in Python (for data analysis and modeling) and SQL (for data extraction and manipulation).

#LI-Hybrid

Our Commitment to Diversity, Equity, and Inclusion

We proudly celebrate the unique qualities that make you you, 365 days a year, and not just because it’s the right thing to do or good for business. We embed the principles and practices of diversity, equity, and inclusion (DEI) into all that we do to prioritize people, a Stash core value , and to ensure Stashers of all backgrounds and experiences can be their authentic selves.

We are also proud to be the first and only venture-backed fintech to join the CEO Action for Diversity & Inclusion™ , and as an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.

If you require any reasonable accommodations to make your application process more accessible, please reach out to recruiting@Stash.com.

Helping You Invest in Yourself

External Recognition for Stash

Salary Range : $129,722 - $193,078

The base salary range represents the reasonably anticipated low and high end of the salary range for this position. Actual salaries will vary and will be based on various factors, such as the candidate’s qualifications, skills, experience and competencies, as well as internal equity and alignment with market data for companies of our size and industry.