Data Scientist, Analytics
DiscordSalary not specified
- Full Time
- Mid-level (3 to 4 years)
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, analyzing results, and translating them into concrete recommendations. They should also have a familiarity with the AWS stack and an understanding of modern machine learning techniques, such as classification, clustering, optimization, deep neural network, 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 for exploration and iteration.
Responsibilities
As a Data Scientist at Plaid, you will apply quantitative analysis, data mining, and data visualization techniques to identify insights for improving API products, conduct large-scale A/B experiments, identify useful signals for machine learning models, inform and influence product and engineering teams through data analysis and presentations, and make long-term data science roadmap decisions regarding machine learning and data science iteration. You will also champion a data-first approach toward decision-making across the organization.
Skills
SQL
Data Visualization
A/B Testing
AWS
Machine Learning
Python
Data Analysis
Data Mining
Communication
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