Experienced Data Scientist - Plaid

Job Title: Experienced Data Scientist
Job Location: San Francisco
Job Listing URL: https://jobs.lever.co/plaid/fe1fc3e9-f3ce-455b-9cdd-8a7dea8c8158
Job Description: We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. 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. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.

Plaid’s Data team is building data insights and models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art data analytics techniques to different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork.

You’ll be a data scientist as a part of the Data org, contributing to diverse, high-impact data insights and machine learning challenges. Specifically, you will focus on driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems. If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat!

We're guided by our principles including impact, growing together, embracing openness and positivity, and inventing tomorrow; we’re looking for leaders who are motivated by those same principles.
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
Qualifications
5+ years of industry experience in a product-focused Data Science role
Deep familiarity with SQL and data visualization tools
Experiencing conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations
Familiarity with the AWS stack
Understanding of modern machine learning 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