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
Qualifications
- 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 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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