Staff 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.

Let's solve complex problems and tackle wealth inequality.

We are looking for an experienced Staff Data Scientist - Production to drive impact through delivering production Data-Driven solutions for business growth and championing a data-informed, customer-centric culture at Stash. This is an exciting opportunity to design and implement innovative Data-Driven products that will positively impact the lives of our customers by empowering them with the tools they need to build wealth. This role will be under Technology/Data org at Stash

What you'll be doing as key responsibilities of a Staff/Sr. Staff Data Scientist - Production:

• Identify proactively opportunities to design Data-Driven solutions from development to deployment in production for business strategies/decisions with Engineering teams
• Design together with architect/Engineer and Data Engineers on Data-Driven infrastructure including Customer Data Platform or feature engineering framework to streamline the full cycle to production with high quality
• Deliver data-driven / advanced production solutions (from features to ML models) to drive the business impact on how customers are interacting with Stash journey to help our customers build wealth and achieve their financial goals as Stash's mission as well as your own passion.
• Demonstrate experience working with complex Production micro services/DB with unstructured datasets, as well as being able to dive into upstream with Eng and Data engineering to our centralized CDP or feature store
• Contribute and empower Data and cross-functional teams across the company to drive concise data-driven solutions together to make a business impact
• Be a thought partner. You'll partner closely with the Product/Biz stakeholders, Engineering and other stakeholders across Stash and communicate the solutions and recommendations
• Influence team best practices, drive process improvement, and contribute positively to an inclusive team culture within/outside Data organization and potential coach junior team members to adopt the new practices
• Proven record working cross-functionally to achieve results, especially with collaboration of Product, Marketing and Engineering teams.
• Be familiar with and love to follow the eng best practices including github, jira process and wiki
• You are flexible to work in a highly dynamic environment with changing requirements

Must Haves:

• MS in STEM.
• 8+ years in a data-focused data science/MLE role, deploying aggregate features like CDP in production along with ML models with Eng/DE
• Expertise with Python advanced ML packages and production coding experience following Eng practice to deploy features and models into production environment (github)
• Proficient in SQL, DBT architecture and working knowledge on BI tools
• Bring your extensive experiences to take the scalable mindsets/approaches with collaboration of the rest of the Data team and Eng teams; a plus with AWS toolings.
• Extensive experiences in collaborating directly with Engineering and key stakeholders teams for deliverables of data-driven solutions in production
• Effective communication skills to communicate complex concepts to influence design/decisions with key stakeholders
• Fintech business knowledge is a plus, especially in investment, lending, and/or credit/fraud risk business

Gold Stars:

• Ph.D is a plus

#LI-MN1

#LI-REMOTE

At 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: $159,408 - $236,160

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.

**No recruiters, please**