Senior Data Scientist - Growth

Stash • New York, NY

28d • Hybrid

About The Position

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.

Requirements

• Experience: 4+ years of experience in a data science or analytics role, with a focus on growth.
• Analytical Mindset: You have a strong business acumen and can connect data findings to business outcomes.
• Education: A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
• Programming: Proficiency in Python (for data analysis and modeling) and SQL (for data extraction and manipulation).
• Data Science: Strong knowledge of machine learning algorithms, statistical modeling, and experimental design (A/B testing).
• Data Modeling: Familiarity with dbt (data build tool) and experience with data warehousing concepts and ETL processes.
• Tools: Experience with data visualization tools like Looker, Tableau, or Power BI.
• Analytical Mindset: You have a strong business acumen and can connect data findings to business outcomes.
• Education: A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.

Nice To Haves

• Experience with attribution modeling and incrementality testing is a significant plus

Responsibilities

• 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.

Benefits

• Comprehensive total rewards package, comprising compensation (salary and equity) and health care benefits
• Complimentary subscription to Stash+ account
• Flexible work policy – We offer a flexible work environment that blends working from home with in-person collaboration at our NYC office to support productivity and team culture.
• Flexible PTO
• Work-from-home equipment stipends; home internet subsidy
• Paid Parental Leave (offerings for birth giving and non-birth giving parents) Primary & Secondary
• Enhanced health and wellness benefits through One Medical, Gympass, and Maven Health

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees