Data Scientist developing state-of-the-art data and machine learning solutions to empower financial freedom at Plaid. Contributing to high-impact insights and challenges within a collaborative team environment.
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
Requirements
5-10 years years of industry experience in a financial services Data Science role
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
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
Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
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