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We build simple yet innovative consumer products and developer APIs that shape how everybody interacts with money and the financial system. Plaid’s Payment Data team builds models, services, and platforms that improve how millions of users move money through ACH. We’re looking for data scientists to apply best-in-class methodologies to develop new products, enhance existing systems, and generate insights that power data-driven decision-making. You’ll be a Data Scientist as a part of the Data org, tackling high-impact analytics and machine learning challenges that directly shape business outcomes. In this role, you’ll use data to drive strategic decisions, inform production direction, and evaluate and improve ML systems. You’ll partner closely with clients both pre- and post-sales to assess product performance, conduct retrospective analyses, and craft risk mitigation strategies that maximize impact. Day to day, you’ll deep dive into model performance, triage issues, and identify opportunities for improvement across ML risk systems. You’ll develop new features to strengthen model performance, build scalable data pipelines using tools like dbt to automate ETL processes, and design metrics, alerts, and dashboards to monitor production models. This is an opportunity to combine analytical rigor, technical depth, and client collaboration to drive measurable results.
Job Responsibility:
Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products
Identifying useful signals that can be fed into machine learning models
Informing and influencing product and engineering teams through your data analysis and presentations
Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid
Championing a data-first approach toward decision-making across the entire organization
Requirements:
5+ years of industry experience in a product-focused Data Science role
Experience working on ACH risk strategy or system, building Guaranteed ACH product is preferred
Deep familiarity with SQL and data visualization tools
Experiencing conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations
Familiarity with the AWS stack
Understanding of modern machine learning techniques, such as classification, clustering, optimization, deep neural network, and natural language processing
Proven ability to tailor your solutions to business problems in a cross-functional team
Ability to code and iterate independently in Python to conduct exploratory data analysis
Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
Nice to have:
Experience building data pipelines in DBT or Airflow is a plus