Plaid3 дня назад

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

Полная занятостьУдалёнка

Обязанности

01Applying your expertise in quantitative analysis, data mining, and data visualization to keep the Plaid network safe and improve our product suite.
02Informing and influencing product and engineering teams through your data analysis and presentations.
03Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid.
04Championing a data-first approach toward decision-making across the entire organization.
05Analyze entities across the Plaid network to better understand behavior patterns and develop metrics and monitoring systems that identify anomalies and emerging risks.
06Create dashboards and reporting frameworks that provide clear visibility into machine learning model performance.
07Evaluate the impact and value of machine learning models on both customer and internal datasets.
08Translate complex analyses into compelling, actionable narratives for technical and business stakeholders.
09Design and analyze experiments, communicate findings across teams, and use data-driven insights to uncover opportunities to improve existing products and expand Plaid’s offerings.

015+ years of industry experience in a Data Science role.
02Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field.
03Experience with Payment Risk, Fraud or Trust & Safety.
04Deep familiarity with SQL and data visualization tools.
05Understanding of modern machine learning techniques, such as classification, clustering, optimization.
06Proven ability to tailor your solutions to business problems in a cross-functional team.
07Ability to code and iterate independently in Python to conduct exploratory data analysis.

01Additional compensation in the form(s) of equity and/or commission are dependent on the position offered.
02Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k).
03Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location.