Senior Data Scientist, Plaid
Embedded Insights
$190.8-262.8k
1-5 days a week in office
Data network powering the tools millions of people rely on to live a healthier financial life
Be an early applicant
Data network powering the tools millions of people rely on to live a healthier financial life
1001+ employees
Be an early applicant
$190.8-262.8k
1-5 days a week in office
1001+ employees
Company mission
To unlock financial freedom for everyone.
Role
Who you are
- 5+ years of industry experience in a Data Science role
- Bachelor's degree or equivalent work experience in Computer Science, Statistics. Engineering, Economics, or a closely related field
- Deep familiarity with SQL and data visualization tools
- Understanding of modern machine learning techniques, such as classification, clustering, optimization
- 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
- We encourage you to apply to a role even if your experience doesn't fully match the job description
What the job involves
- The Embedded Insights team builds machine learning models to enable better internal decision making and to power the Plaid product suite
- We are structured as a central team of MLEs and Data Scientists, and embed with partner teams to bring ML models to life
- As the first Data Scientist on Plaid’s Embedded Insights team within the Data organization, you will play a foundational role in building the analytics and measurement framework that supports a broad portfolio of internal and customer-facing products
- You will partner closely with product, engineering, and machine learning teams to drive data-informed decision making, evaluate product and model performance, and contribute directly to the health and growth of the Plaid network
- In this role, you will analyze entities across the Plaid network to better understand behavior patterns and develop metrics and monitoring systems that identify anomalies and emerging risks
- You will create dashboards and reporting frameworks that provide clear visibility into machine learning model performance, while also evaluating the impact and value of these models on both customer and internal datasets
- A key part of your work will involve translating complex analyses into compelling, actionable narratives for technical and business stakeholder
- You will design and analyze experiments, communicate findings across teams, and use data-driven insights to uncover opportunities to improve existing products and expand Plaid’s offerings
- Applying your expertise in quantitative analysis, data mining, and data visualization to keep the Plaid network safe and improve our product suite
- 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
Our take
Plaid builds infrastructure that allows consumers to interact with their bank account on the web through a number of third-party applications, like Venmo, Robinhood, Coinbase, Acorns and LendingClub.
Plaid has integrated with over 12,000 financial institutions in the US, Canada, the UK and Europe. And about a quarter of people living in North America with bank accounts have linked with Plaid through at least one of the hundreds of apps that leverage Plaid’s application program interfaces (APIs).
The platform allows companies to create financial services applications without having to hire their own team of engineers to build out a tool that connects apps to its users’ bank accounts. This is very valuable in a world where there are increasing number of fintechs, so the demand for Plaid's services are only going to grow.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Apr 2025
$575m
LATE VC
Apr 2021
$425m
SERIES D
Total funding: $1.3bn
Company benefits
- Vibrant offices in SF, NYC, and Raleigh-Durham—with catered meals, happy hours, and clubs to keep you connected
- Competitive pay, comprehensive health benefits, and support for fertility, mental health, and parental leave
- Lifestyle perks including home office stipends, daycare support, and commuting benefits like CitiBike and Lyft
Company HQ
SoMa, San Francisco, CA
Leadership
Zach Perret
(Co-Founder & CEO)Previously, Zach was a Consultant at Bain and a Research Fellow and Trustee at Duke before co-founding Plaid ion 2012.
Salary benchmarks
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