Plaid is looking to build models that improve how millions of users understand and grow their financial lives by applying state-of-the-art machine learning and modeling techniques.
Requirements
Deep familiarity with SQL and python
Experiencing constructing models in a regulated industry
Familiarity with the AWS stack
Understanding of modern machine learning techniques, such as classification, clustering, optimization, and natural language processing
Ability to code and iterate independently in Python to conduct exploratory data analysis
Responsibilities
Applying your expertise in quantitative analysis, data mining, and data visualization to build models and insights
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
Contributing to diverse, high-impact data insights and machine learning challenges
Driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems
Other
5-10 years years of industry experience in a financial services Data Science role
Proven ability to tailor your solutions to business problems in a cross-functional team
Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
We value not only technical know-how, but also creativity, user empathy, and teamwork
We encourage you to apply to a role even if your experience doesn't fully match the job description.
