Senior Data Scientist - Network Value

About the Role

The Network Value Data Science team is a product analytics team embedded in key product areas across Plaid, supporting some of the company's most important OKRs and helping execute on product roadmaps. As a senior data scientist, you will be a key player in translating ambiguous product questions into tractable analysis and serving as an analytical thought partner throughout the organization.

Plaid is a leading fintech company that powers the tools millions of people rely on to live a healthier financial life. With a network that covers 12,000 financial institutions across the US, Canada, UK, and Europe, Plaid is well-positioned to drive innovation in the financial ecosystem.

What You Will Do

• Champion a data-first approach toward decision-making across the entire organization
• Become the data and analytical thought partner to product managers and engineers
• Translate business questions into analytics projects
• Perform ad-hoc and strategic analyses to identify opportunities for improved outcomes and support business decisions
• Build data models and dashboards to improve visibility into core systems
• Create OKRs quantifying progress against business goals
• Design and analyze experiments to support feature ship decisions
• Build ML prototypes and causal inference models
• Collaborate with cross-functional teams to drive data-informed product development
• Develop and maintain databases and data systems to support analytics and reporting

What We Are Looking For

• 5-8+ years of experience as a Data Scientist or in a related analytics or data-focused role
• Experience with experimentation, ad-hoc analysis, and developing strategic insights
• Strong SQL skills and experience creating metrics that drive alignment with stakeholders
• Experience building data pipelines with Airflow and dbt
• Strong communication skills and experience partnering cross-functionally with product managers, engineers, and other stakeholders
• Experience driving data-driven performance for user-facing products
• Track record of identifying novel ways to impact a top-line OKR and influencing stakeholders on prioritization, roadmapping, and/or execution
• Bachelor's or Master's degree in a quantitative field such as computer science, mathematics, or statistics

Nice to Have

• Fintech experience and experience working with raw fintech data
• Experience with causal inference, machine learning, and Python
• Experience working with cloud-based data platforms such as AWS or GCP
• Certification in data science or a related field

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• 401(k) matching program
• Flexible PTO and holidays
• Remote work stipend and equipment allowance
• Professional development opportunities and conference sponsorships
• Access to mental health resources and employee assistance programs

• To stand out in the application process, be sure to highlight your experience with data analysis and interpretation, as well as your ability to communicate complex insights to stakeholders.
• Develop a strong understanding of Plaid's products and mission, and be prepared to discuss how your skills and experience align with the company's goals.
• Create a portfolio that showcases your data science skills and experience, including examples of data models, dashboards, and analysis you have performed in previous roles.
• Be prepared to discuss your experience with experimentation, ad-hoc analysis, and developing strategic insights, and provide examples of how you have applied these skills in previous roles.
• Research the company culture and values, and be prepared to discuss how you align with them and how you can contribute to the team's success.
• Don't be afraid to ask questions during the interview process, such as what a typical day looks like in the role or what opportunities there are for professional development and growth.