Plaid-posted 2 months ago
$174,000 - $260,400/Yr
Full-time • Mid Level
San Francisco, CA
501-1,000 employees

Plaid’s Data team is building data insights and models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art data analytics techniques to different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork. You’ll be a data scientist as a part of the Data organization, contributing to diverse, high-impact data insights and machine learning challenges. Specifically, you will focus on driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems. If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat!

  • 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
  • 5+ years of industry experience in a product-focused Data Science role
  • Deep familiarity with SQL and data visualization tools
  • Experience 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
  • Comprehensive benefit plan, including medical, dental, vision, and 401(k)
  • Additional compensation in the form(s) of equity and/or commission
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