Senior Data Scientist - Data Foundations & AI

About the Role

The Data Foundation & AI team is a critical part of Plaid's mission to unlock financial freedom for everyone. By building the tools and experiences that thousands of developers use to create their own products, Plaid is empowering a transformation in the way people interact with their finances. With a network that covers over 12,000 financial institutions across the US, Canada, UK, and Europe, Plaid is well-positioned to drive innovation in the financial ecosystem.

As a Senior Data Scientist, you will be part of a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes. You will have the opportunity to work on complex problems, using data-driven insights to inform product decisions and drive business growth.

What You Will Do

• Define quality metrics that shape product direction and drive business growth
• Turn ambiguous customer complaints into structured investigations, using data-driven insights to inform product decisions
• Build evaluation systems that scale, ensuring that products deliver high-quality outcomes for customers
• Measure AI system effectiveness in a principled way, using data to inform product decisions
• Automate workflows using modern AI tools, driving efficiency and scalability
• Influence roadmap decisions through data, ensuring that products meet customer needs and drive business growth
• Partner closely with product and engineering teams, using data-driven insights to inform product decisions
• Use data to identify areas for improvement, driving continuous learning and growth
• Develop and maintain large-scale data pipelines, ensuring that data is accurate and reliable
• Collaborate with cross-functional teams, using data to inform product decisions and drive business growth

What We Are Looking For

• 5+ years of experience in data science or analytics roles, with a strong background in machine learning and AI
• Experience defining evaluation and metrics frameworks, with a strong understanding of data-driven decision making
• Strong SQL and Python skills, with experience working with large datasets and complex data systems
• Experience investigating ambiguous problems end-to-end, using data-driven insights to inform product decisions
• Ability to operate independently and influence stakeholders, with a strong ability to communicate complex insights effectively
• Clear communication of trade-offs and insights, with a strong ability to collaborate with cross-functional teams
• Experience evaluating AI or ML systems, with a strong understanding of machine learning and AI principles
• Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes
• Strong understanding of data privacy and security, with experience working with sensitive data

Nice to Have

• Experience working with cloud-based data platforms, such as AWS or Google Cloud
• Experience with Agile development methodologies, with a strong understanding of iterative development
• Experience working with cross-functional teams, including product, engineering, and design
• Strong understanding of financial services and products, with experience working in the financial industry
• Experience with data visualization tools, such as Tableau or Power BI

Benefits and Perks

• Competitive salary and equity package, with a strong focus on employee growth and development
• Comprehensive health insurance, including medical, dental, and vision
• Flexible PTO policy, with a strong focus on work-life balance
• Remote work stipend, with a strong focus on supporting remote employees
• Professional development opportunities, including training and education programs
• Access to a wide range of financial products and services, including employee discounts and perks
• Collaborative and dynamic work environment, with a strong focus on teamwork and communication
• Opportunity to work on complex and challenging problems, using data to drive business growth and innovation

• Develop a strong portfolio of data science projects, showcasing your skills and experience with machine learning and AI.
• Practice communicating complex insights and trade-offs effectively, using data to inform product decisions and drive business growth.
• Familiarize yourself with Plaid's products and services, including the company's mission and values.
• Be prepared to talk about your experience with evaluation frameworks and metrics, including your ability to define and operationalize quality measurement.
• Use the interview process to ask questions about the company culture and values, including the team's approach to collaboration and communication.
• Highlight your ability to work independently and influence stakeholders, including your experience with cross-functional teams and data-driven decision making.