Senior Data Scientist - Payments 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

FintechIndustries

Requirements

5+ years of industry experience in a product-focused Data Science role
Deep familiarity with SQL and data visualization tools
Experience conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations
Familiarity with the AWS stack
Understanding of modern machine learning (ML) 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
Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field

Responsibilities

Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products
Conducting large-scale A/B experiments
Identifying useful signals that can be fed into machine learning models
Informing and influencing product and engineering teams through your data analysis and presentations
Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid
Championing a data-first approach toward decision-making across the entire organization

Skills

Key technologies and capabilities for this role

Quantitative AnalysisData MiningData VisualizationA/B TestingMachine Learning

Questions & Answers

Common questions about this position

What is the salary range for the Senior Data Scientist role?

The salary range is $174,000 - $260,000 per year.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What skills are required for this Senior Data Scientist position?

Required skills include 5+ years in a product-focused Data Science role, deep familiarity with SQL and data visualization tools, experience with large-scale A/B experiments, familiarity with AWS stack, understanding of modern ML techniques, Python for exploratory data analysis, and ability to work in cross-functional teams.

What is the company culture like at Plaid?

Plaid values technical know-how, creativity, user empathy, and teamwork, with a data-first approach to decision-making championed across the organization.

What makes a strong candidate for this data scientist role?

Strong candidates have 5+ years of product-focused data science experience, expertise in SQL, A/B experiments, AWS, ML techniques, and Python, plus a Bachelor's in a relevant field or equivalent, with pluses like DBT or Airflow experience.

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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