Senior Data Scientist - (Payment Risk/Fraud) Embedded Insights

Stack

Responsibilities

• ▹Apply quantitative analysis, data mining, and data visualization to keep the Plaid network safe and improve the product suite
• ▹Inform and influence product and engineering teams through data analysis and presentations
• ▹Make long-term data science roadmap decisions, such as how ML and data science iteration should be done at Plaid
• ▹Champion a data-first approach toward decision-making across the entire organization

Requirements

• ▹5+ years of industry experience in a Data Science role
• ▹Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
• ▹Experience with Payment Risk, Fraud, or Trust & Safety
• ▹Deep familiarity with SQL and data visualization tools
• ▹Understanding of modern machine learning techniques such as classification, clustering, optimization
• ▹Proven ability to tailor solutions to business problems in a cross-functional team
• ▹Ability to code and iterate independently in Python for exploratory data analysis

Nice to have

• ▹Experience building data pipelines in DBT or Airflow

Soft skills

What we offer

• ▹Comprehensive benefits package including medical, dental, and vision insurance, plus a 401(k) plan
• ▹Additional compensation in the form of equity and/or commission depending on the role

About the company

Plaid believes the way people interact with their finances will drastically improve in the coming years. It builds the tools and experiences used by thousands of developers to create their own products, with a network covering 12,000 financial institutions across the US, Canada, UK, and Europe. Founded in 2013, Plaid is headquartered in San Francisco with offices in New York, Washington D.C., London, and Amsterdam.