Plaid
Senior Data Scientist - (Payment Risk/Fraud) Embedded Insights
San Francisco HQ · Senior
Sponsorship not specifiedDetected 21 days ago
PythonSQLMachine LearningAirflowdbtData AnalysisData EngineeringData ScienceData Visualization
About the role
- We believe that the way people interact with their finances will drastically improve in the next few years.
- 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.
Responsibilities
- We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.
- We are structured as a central team of MLEs and Data Scientists, and embed with partner teams to bring ML models to life.
- In this role, you will analyze entities across the Plaid network to better understand behavior patterns and develop metrics and monitoring systems that identify anomalies and emerging risks.
- You will design and analyze experiments, communicate findings across teams, and use data-driven insights to uncover opportunities to improve existing products and expand Plaid's offerings.
Requirements
- 5+ years of industry experience in a Data Science role.
- Bachelor's degree or equivalent work experience in Computer Science, Statistics.
- Experience with Payment Risk, Fraud or Trust & Safety.
- 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.
- Deep familiarity with SQL and data visualization tools.
- Understanding of modern machine learning techniques, such as classification, clustering, optimization.
- Experience building data pipelines in DBT or Airflow is a plus.
- Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
- Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
- 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.
Skills
- Plaid powers the tools millions of people rely on to live a healthier financial life.
Compensation
- Additional compensation in the form(s) of equity and/or commission are dependent on the position offered.
Benefits
- The Embedded Insights team builds machine learning models to enable better internal decision making and to power the Plaid product suite.
- Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid.
Company info
- Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
- A key part of your work will involve translating complex analyses into compelling, actionable narratives for technical and business stakeholders.
This listing is sourced directly from Plaid's careers page and normalized into a canonical job model.