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
Experience building data pipelines in DBT or Airflow is a plus
Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field.

Benefits

Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

quantitative analysisdata miningdata visualizationSQLmachine learningclassificationclusteringoptimizationdeep neural networknatural language processing

Soft Skills

influencingdata analysispresentationdecision-makingcross-functional collaborationtailoring solutions