Senior Data Scientist, Plaid
Payments ACH
$174-260.4k
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
$174-260.4k
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 product-focused Data Science role
- Experience working on ACH risk strategy or system, building Guaranteed ACH product is preferred
- 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
- We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
What the job involves
- Plaid’s Payment Data team builds models, services, and platforms that improve how millions of users move money through ACH
- We’re looking for data scientists to apply best-in-class methodologies to develop new products, enhance existing systems, and generate insights that power data-driven decision-making
- You’ll be a Data Scientist as a part of the Data org, tackling high-impact analytics and machine learning challenges that directly shape business outcomes
- In this role, you’ll use data to drive strategic decisions, inform production direction, and evaluate and improve ML systems
- You’ll partner closely with clients both pre- and post-sales to assess product performance, conduct retrospective analyses, and craft risk mitigation strategies that maximize impact
- Day to day, you’ll deep dive into model performance, triage issues, and identify opportunities for improvement across ML risk systems
- You’ll develop new features to strengthen model performance, build scalable data pipelines using tools like dbt to automate ETL processes, and design metrics, alerts, and dashboards to monitor production models
- This is an opportunity to combine analytical rigor, technical depth, and client collaboration to drive measurable results
- Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products
- 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
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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