Sr Data Scientist

Stash is an investing app dedicated to empowering people to invest and build better lives. Stash's plans-starting at just $3 a month-unlock access to a suite of simple, automated solutions designed to help people find security and peace of mind through investing. In 2023, the company announced the appointment of Liza Landsman as CEO, a $40M fundraise, and its Smart Portfolio managed account was named as the top-performing overall robo-advisor by Condor Capital. Stashers are 15% more financially literate than the average American, and rely on Stash for timely education, expert advice, and clear next steps to help them grow their money and achieve lifelong goals.Prioritizing People is one of our core values and has been key to a healthy work-life balance and a great sense of fulfillment and inclusion. We employ a true people first - hybrid model. Live and work where you feel the most productive, whether that is in your home, in an office, or a combination of both.Stash is looking for a Senior Data Scientist experienced with lifecycle and/or acquisition marketing.This role will partner closely with Marketing to drive data driven decision making using LTV modeling, AB testing, opportunity sizing, incrementality testing, and customer journey mapping.What you'll be doing:• Partner with the Lifecycle Marketing team to develop and execute data-driven growth strategies• Collaborate with Marketing, Engineering, and Product on channel/campaign experimentation and A/B testing; opportunity size, plan and analyze tests• Apply advanced analytics and models to identify high-value customer segments and optimize marketing campaigns• Analyze customer behavior and marketing performance metrics to identify opportunities for improvement• Develop A/B testing frameworks to measure the effectiveness of marketing initiatives• Transform large sets of transaction, clickstream, and third-party data to create clean data models using dbt• Communicate complex findings to senior leadership• Mentor and develop junior data scientists.What we're looking for:• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field• 5+ years of experience in data science with a focus on growth and lifecycle marketing• Strong proficiency in SQL, with an understanding of storing and querying data from Redshift, or similar data warehouses• Proficiency in Python or similar programming languages• Knowledge of Looker or similar BI tool• Proven ability to drive business results with data science, including direct collaboration with stakeholders and communication with senior leaders• Experience with statistical modeling and machine learning techniques• Track record of designing and conducting statistically rigorous experimentsGold Stars:• Advanced degree in Statistics, Mathematics, Computer Science, or a related quantitative field• Experience with dbt• Experience building and deploying LTV and propensity models• Comfort with Spark, AWS, and Airflow#LI-REMOTEOur Commitment to Diversity, Equity, and InclusionAt Stash it is our mission to help everyday Americans invest and build wealth. That includes people of all races, genders, and abilities, so it is important to us to acknowledge and address the issues of inequality in financial services head on.Diversity and inclusion are essential to living our values, promoting innovation, and building the best products. Our success is directly related to our employees and we believe that our team should reflect the diversity of the customers that we serve. 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[redacted]Invest in Yourself:• Equity & Stash Accounts [Invest, Retire, Custodial, Bank]• Flexible PTO• Learning & Development Fund• Work from Home Stipends• Parental Leave [Primary & Secondary]Recognition:• BuiltIn's Best Places to Work (2019, 2020, 2021)• Forbes Fintech 50 (2019, 2020, 2021)• Best Digital Bank, Finovate Awards (2020)• Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020• LendIt Fintech Innovator of the Year (2019 & 2020)Salary Range: $135,300 - $202,950The 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.• *No recruiters, please**