Plaid

Senior Data Scientist – Payments

Plaid

full-time

Posted on:

Location Type: Hybrid

Location: San Francisco • California • 🇺🇸 United States

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Salary

💰 $174,000 - $260,000 per year

Job Level

Senior

Tech Stack

AirflowAWSPythonSQL

About the role

  • 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
Benefits
  • medical
  • dental
  • vision
  • 401(k)

Applicant Tracking System Keywords

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

Hard skills
quantitative analysisdata miningdata visualizationA/B testingmachine learningSQLPythondata pipelinesDBTAirflow
Soft skills
influencingcommunicationcross-functional collaborationproblem-solvingdecision-making
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