Data Scientist - Marketing

Data Scientist - Marketing

This job is no longer open

Stash is investing, simplified. We are a financial platform that makes it easy for anyone to start with as little as $5. Through education and guidance, we help investors learn the basics so they can confidently save and invest for themselves. At Stash, we are working toward a future where investors are as diverse as our world. 

We are looking for entrepreneurs with specific talent in data science. The applicant should be super excited to own and contribute meaningfully to Stash as a whole. More specifically their day-to-day work will focus on creating the best possible user experience with regards to Stash’s messaging streams. This includes push, email, text, and in-app messaging. It will involve modeling, personalization, triggered messaging and direct optimization. An applicant with a strong understanding of statistics, game theory, risk vs. reward tradeoffs and bayesian thinking may be more likely to succeed.

What you’ll do:

  • Optimize performance for marketing messaging
  • Frequency of messaging modeling and optimization
  • Monitoring of user contact rates and performance
  • Predicting best features / messaging to reach out to users with
  • Helping personalize the marketing experience
  • Supporting an analyzing product marketing with day to day needs

Who we’re looking for:

  • MS in Computer Science, Statistics, Applied Mathematics, Physics, Engineering 
  • 2+ years of professional programming work in Python, Scala, Java, or similar
  • Experience with Pandas, R, or other statistical modeling frameworks
  • An understanding of storing and querying data from Redshift, PostgreSQL, or similar database infrastructures
  • Passion to use all aspects of data science, programming, and technology to build the financial advisor of the future
  • Experience using machine learning to improve algorithmic systems
  • Comfort with distributed computing, specifically Pyspark, AWS EMR, and Airflow
  • Knowledge of Looker or similar front end analytics platforms
  • Data Engineering and ETL experience is a big plus!

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We believe that diversity and inclusion are essential to living our values, promoting innovation, and building the best products out there. Our success is directly related to the employees that we hire, grow and retain 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. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by law. Everyone is encouraged to apply.

Benefits & Perks:

  • Equity in Stash                           
  • Flexible Vacation
  • Family-Friendly Medical, Dental, and Vision Insurance Plans
  • 401k
  • Learning & Development Stipend
  • Commuter Benefits and Flexible Spending Account (FSA)
  • Employee referral bonuses
  • Stocked fridges & kitchens and catered lunch on Fridays
  • Thursday happy hours  
  • Team outings that do not involve trust falls...

Awards & Recognition:

  • Forbes Fintech 50 (2019)
  • LendIt Fintech Innovator of the Year (2019)
  • Built in NYC's Best Places to work (2019)
  • Built in NYC’s Startups to Watch (2018)
  • Wall Street Journal's "Top 25 Tech Companies To Watch" (2018)
  • MarCom Awards Double Gold & Platinum Winner (2018)
  • Webby Award Winner for Best Mobile Sites & Apps in the Financial Services and Banking category (2017)
  • W3 Awards Winner for Best User Experience (2017)

**No recruiters, please.

This job is no longer open
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