Senior Data Scientist, Stash
$150-180k
Banking and investment app
Posted today
Banking and investment app
201-500 employees
Posted today
$150-180k
201-500 employees
Company mission
Stash's mission is to empower everyday Americans to build wealth by making investing simple and affordable.
Role
Who you are
- Experience: 5+ years in data science or advanced analytics roles, ideally in consumer tech, fintech, or growth/product analytics. Prior Senior ownership of ambiguous, multi-quarter problems
- Statistical & ML craft: Strong foundation in experimental design, causal inference, and applied machine learning (classification/regression, survival/churn, uplift or propensity where relevant). You know when a simple model beats a complex one
- Programming: Proficiency in Python and advanced SQL against large warehouses
- Business partnership: Proven ability to work with PMs, designers, marketers, and engineers; connect analyses to CAC, LTV, retention, ARPU, and other commercial outcomes
- Product sense: Comfortable navigating incomplete instrumentation, defining metrics, and pushing for clean event/warehouse contracts when measurement depends on them
- Communication: Excellent written and verbal communication; can brief executives and coach peers without drowning either audience in jargon
- Education: Bachelor’s or Master’s in a quantitative field (CS, Statistics, Math, Economics, or related), or equivalent experience
- AI fluency: Hands-on use of AI coding assistants (e.g. Cursor, ChatGPT) as part of daily workflow, with strong judgment—validating outputs, following Stash guidelines for sensitive data, and owning the quality of AI-assisted work
- Gold Stars:
- Experience with attribution modeling, incrementality / geo or holdout tests, and marketing mix or media measurement
- Familiarity with dbt, dimensional modeling, and reading warehouse lineage
- Experience with Looker, Mixpanel, and/or Hex (or similar BI / product analytics / notebook stacks)
- Fintech, brokerage, banking, or subscriptions experience; comfort with regulated-data hygiene
What the job involves
- We’re looking for a Senior Data Scientist (Technical Level 4) to join our Data team.
- You’ll be a strategic partner to Product, Growth, and Marketing—turning ambiguous business questions into rigorous measurement, experiments, and models that improve how we acquire, activate, retain, and advise customers
- This is not a pure reporting role. You’ll own high-impact analytical workstreams end-to-end: define the problem, choose the right method, ship trustworthy results, and influence decisions with clear recommendations.
- If you thrive at the intersection of statistics, product sense, and stakeholder partnership, we’d love to hear from you
- Own measurement for priority bets: Partner with Product and Growth on our Ideal Customer Profile, payback, attribution, subscription performance, and Financial Advice (FA) measurement—so leaders can trust the numbers behind company OKRs
- Design and analyze experiments: Lead A/B testing with Product and Marketing. Apply statistical rigor and translate results into ship / iterate / kill recommendations
- Build predictive and causal models: Develop and productionize models for churn, LTV, conversion propensity, and related outcomes. Prefer approaches that are measurable in business terms and maintainable in our stack—not science projects that never ship
- Deep-dive customer and funnel behavior: Analyze acquisition → activation → retention → referrals. Find drop-offs, segment opportunities, and growth levers; size impact before teams invest engineering or media spend
- Partner on data foundations: Specify grains, definitions, and acceptance criteria for new data mart fields and models; work with Analytics Engineering so DS work runs on governed, tested warehouse data—not one-off SQL that drifts
- Enable decision-making with clarity: Build durable analyses, Hex notebooks, and Looker / Mixpanel views where they create lasting leverage. Communicate findings to technical and non-technical audiences with crisp narratives and recommended actions
- Raise the bar for the team: Review methodology and code, and contribute to team standards for experimentation, documentation, and AI-assisted workflows (with judgment on sensitive data)
Our take
Founded in 2015, Stash was created in response to studies showing that 44% of Americans don’t invest in stocks, 70% of households don’t have a long-term financial plan, and 68% are afraid to retire. Stash offers beginner retail investors the tools to invest small amounts in stocks and exchange-traded funds. It aims to help new investors learn the ropes, offering preference-tailored guidance and digestible investment summaries.
Its service, although pricier than competitors like Wealthfront and Acorns, remains competitive through its highly educational and beginner-friendly focus. This is a lucrative feature for Stash, given the recent surge in first-time and amateur retail investors. The company has more than 6 million customers, and its assets under management total about $3 billion.
Its focus on long-term profit over day trading is refreshing in the retail investment app market. It could prove especially attractive to its younger customer base (average age 29), who are on the whole trending away from traditional legacy banking and looking towards new, innovative financial platforms.
Stash was not immune to the market turmoil of 2022, which particularly impacted the fintech sector, and was forced to restructure. Having streamlined the business, it received major funding and a leadership change in 2023. Stash is now setting its sights on an acquisition or public offering in the near future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-13% employee growth in 12 months
Company
Funding (last 2 of 12 rounds)
May 2025
$146m
SERIES H
Oct 2023
$40m
CONVERTIBLE
Total funding: $656.9m
Company benefits
- Work remotely from anywhere in the U.S. or U.K
- Learning & Development stipend
- Excellent medical, dental & vision insurance
- Unlimited time off
- Paid parental leave
Company HQ
Garment District, New York, NY
Leadership
Brandon Krieg
(Co-Founder & Co-CEO)Brandon started his career as a Partner at EdgeTrade, where he spent 9 years, before working as MD of Knight Capital Group for half a decade. He left his role as Head of Global Electronic Execution at Macquarie Securities Group to co-found Stash in June 2015.
Ed Robinson
(Co-Founder & Co-CEO)They joined Macquarie Group in 2005, where they worked for 10 years. Initially starting in private banking, they progressed from Asian Sales Trader to European Sales Trader and then ultimately Head of Sales, Electronic Execution. They left this role in 2015 to co-found Stash.
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