Plaid Inc
Experienced Data Scientist Machine Learning - Remember Me
Plaid Inc, San Francisco, California, United States, 94199
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.Plaid’s Machine Learning team is building models that improve how millions of users understand and grow their financial lives. We're looking for machine learning modelers to utilize best-in-class methodologies and approaches to build new products, improve existing systems and uncover insights to empower data-driven decision making. We value not only technical know-how, but also creativity, user empathy, and teamwork. This team will be providing analytics support for Remember Me. This includes detailed data exploration and analysis, conducting A/B experiments, creating dashboards and alerts, and developing metrics.You will be a machine learning modeler building and maintaining machine learning models to power the Remember Me experience.
Responsibilities
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.Qualifications
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.
$203,040 - $303,480 a year
Target base salary for this role is between $203040 and $303480
per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
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Responsibilities
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.Qualifications
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.
$203,040 - $303,480 a year
Target base salary for this role is between $203040 and $303480
per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
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