Plaid

Experienced Data Scientist

San Francisco, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Data & AnalyticsIndustries

Requirements

Candidates should possess 5+ years of industry experience in a product-focused Data Science role, demonstrating deep familiarity with SQL and data visualization tools, and experience conducting large-scale A/B experiments. They should also have a strong understanding of the AWS stack and familiarity with modern machine learning techniques such as classification, clustering, optimization, deep neural networks, and natural language processing, along with a proven ability to tailor solutions to business problems within a cross-functional team and code independently in Python.

Responsibilities

The Experienced Data Scientist will apply quantitative analysis, data mining, and data visualization techniques to find insights for improving Plaid’s API products, conducting large-scale A/B experiments, identifying useful signals for machine learning models, informing and influencing product and engineering teams through data analysis and presentations, and making long-term data science roadmap decisions. They will also champion a data-first approach toward decision-making across the organization and potentially help evaluate and improve ML solutions and systems.

Skills

SQL
Data Visualization
AWS
Machine Learning
Python
A/B Testing
Data Mining
Quantitative Analysis
Deep Neural Networks
Natural Language Processing

Plaid

Connects financial accounts to apps securely

About Plaid

Plaid simplifies financial data management for individuals and businesses by connecting various financial accounts to apps and services. Its main product is a set of APIs that allow developers to integrate financial data into their applications, enabling users to track spending, initiate payments, and access financial services all in one place. Plaid serves a wide range of clients, including app developers and financial institutions, and is used by popular apps like LendingTree and Square. Unlike many competitors, Plaid focuses on providing a comprehensive and scalable platform that supports various financial use cases, such as transactions and identity verification. The company's goal is to enhance the way users interact with their financial data, making it easier and more secure.

Key Metrics

San Francisco, CaliforniaHeadquarters
2013Year Founded
$714.3MTotal Funding
SERIES_DCompany Stage
Fintech, Financial ServicesIndustries
1,001-5,000Employees

Benefits

We've got you covered: From medical, life, and 401ks, we’re here to support your physical, mental, and financial wellbeing.
Everyone is an owner: We want everyone to feel ownership over their work - literally, which is why we offer equity to full-time Plaids.
Vacation your way: We want to make sure you have time to meet your personal needs with unlimited PTO and two weeks of synchronous, company-wide vacation.
Grow your skills: Every Plaid is in control of their career development with our learning stipends, tools, and trainings.

Risks

Increased competition from API-based banking solutions like FIS's Code Connect platform.
Potential legal challenges, such as PNC's lawsuit over trademark issues.
Demand for enhanced transparency and security in financial data sharing.

Differentiation

Plaid offers seamless financial data integration through robust APIs for diverse clients.
Plaid's Pay by Bank for Bill Pay provides a cost-effective recurring payment solution.
Plaid's strategic partnerships enhance its value proposition in payroll and payment sectors.

Upsides

Plaid's expansion into the Triangle area indicates growth and increased hiring potential.
Partnership with Dwolla enhances Plaid's presence in the secure payments sector.
Collaboration with Ansa expands market reach through pay-by-bank capabilities for merchants.

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