Data Scientist leveraging state-of-the-art analytics for financial insights. Collaborating across teams to drive business impact and improve user understanding of finances.
Responsibilities
Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products
Conducting large-scale A/B experiments
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
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 (ML) 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
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