Experienced Data Scientist, Plaid

• If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat!
• 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

• 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
• 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
• 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

• Monthly wellness stipend (gym on us)
• We offer breakfast, lunch, and dinner to keep you well-fed and healthy (when working from the office)
• From medical, life, dental and pension schemes, we’re here to support your physical, mental, and financial wellbeing
• We want everyone to feel ownership over their work - literally, which is why we offer equity to full-time Plaids
• Every Plaid is in control of their career development with our learning stipends, tools, and trainings
• We give Plaids the freedom and flexibility to choose where they work - whether that is in a Plaid office, at home in any supported location, or a mix of both!
• Two weeks of synchronous, company-wide vacation
• We want to make sure you have time to meet your personal needs with unlimited PTO

Total funding: $734.3m

Plaid builds infrastructure that allows a consumer to interact with their bank account on the web through a number of third-party applications, like Venmo, Robinhood, Coinbase, Acorns and LendingClub.