Staff Data Scientist Machine Learning - Credit at Plaid

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

FinTech, FinanceIndustries

Requirements

8+ years of experience developing, training, and deploying ML models in production environments
Proven experience building and maintaining data-intensive backend applications within large, distributed systems
Strong programming skills in Python and familiarity with tools such as Spark, Jupyter, and standard ML libraries
Background in fintech or other data-rich, regulated domains
Demonstrated ability to take ownership and drive projects from concept to measurable business impact
Solid understanding of data engineering and analytics concepts
Skilled at collaborating across technical and non-technical teams
Master’s degree (or equivalent experience) in Computer Science, Mathematics, Engineering, or a related field
Nice to Have: Hands-on experience with data engineering or analytics tooling
Nice to Have: Experience applying NLP techniques in production systems

Responsibilities

Hands-on develop, productionize, and operate 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
Working with the ML infrastructure team to improve ML infrastructure that powers the end-to-end ML development lifecycle
Debugging ML production issues and ensuring stable model serving
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

Skills

Machine Learning

Natural Language Processing

Anomaly Detection

Optimization

Time Series Forecasting

ML Pipelines

Feature Engineering

ML Infrastructure

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.

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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