Experienced Machine Learning Modeler - Remember Me
July 31
🔄 Hybrid – San Francisco
Description
• Running large-scale A/B experiments to test new authentication methods and evaluate different ML models and risk engine rules. • Crafting metrics, alerts, and dashboards to monitor ML production model and risk engine performance • Building data pipelines using tools like DBT to automate ETL processes. • Hands-on develop Machine Learning models and pipelines to improve a diverse range of Plaid products. • Continuously proposing and developing new features to improve the AI/ML model performance. • Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.
Requirements
• 5+ years of industry experience in a product-focused Data Science or machine learning 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 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 • Experience with the FinTech industry is a plus • Ability to work with technical and non-technical teams • Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
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