Senior Data Scientist - Network Value

Engineering

San Francisco

Full-time

We build simple yet innovative consumer products and developer APIs that shape how everybody interacts with money and the financial system.

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.

The Network Value Data Science team is helping Plaid build an industry leading fintech consumer network by increasing access to, authorization for, and usability of Plaid’s User’s financial footprints. We embed within product teams to support OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision making approach everywhere we go.

You’ll be a data scientist supporting Network Enablement Access (NEA). In this role, you’ll help build an industry-leading fintech consumer network by expanding access to, authorization for, and usability of Plaid users’ financial footprints. You’ll partner closely with embedded teams to support product goals and roadmaps, ensuring Plaid continues to deliver trusted, innovative, and scalable solutions that empower consumers to connect and use their financial data with confidence..

Responsibilities

Perform ad-hoc and strategic analyses to uncover opportunities for improved business outcomes and translate complex questions into actionable analytics projects.
Design and maintain scalable data models and dashboards that increase visibility into core systems and drive operational excellence.
Build and iterate on machine learning prototypes to power insight-driven products and unlock new sources of customer and business value.
Define and track OKRs that quantify progress toward key business goals, ensuring alignment and accountability across teams.
Design and analyze experiments to guide product decisions and optimize feature launches.
Champion a data-first culture by promoting analytical rigor and evidence-based decision-making across the organization.

Qualifications

5–7 years of experience as a Data Scientist or in a related analytics or data-focused role
Strong track record of turning complex data into strategic insights and measurable business impact
Proven ability to use experimentation, advanced analytics, and data storytelling to uncover opportunities that drive key product and business outcomes
Strong technical foundation in SQL and Python for large-scale analysis, data modeling, and ML prototyping
Experience developing and maintaining data pipelines and metrics frameworks using tools such as Airflow and dbt
Background working with complex backend systems, ensuring data integrity, scalability, and operational reliability across platforms
Skilled at partnering cross-functionally with product, engineering, and business teams to influence prioritization and strategy through clear, data-driven communication

$174,000.00 - $260,400.00 per year

The target base salary for this position ranges from $174,000/year to $260,400/year in Zone 1. The target base salary will vary based on the job's location.

Our geographic zones are as follows:

Zone 1 - New York City and San Francisco Bay Area

Zone 2 - Los Angeles, Seattle, Washington D.C.

Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego

Zone 4 - Raleigh-Durham and all other US cities

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. 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!

Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.

Please review our Candidate Privacy Notice here.

Other opportunities

New York
Engineering Manager - Customer Access & Experience
See role
New York
Engineering Manager - Customer Foundations
See role
New York
Engineering Manager - Machine Learning
See role
New York
Experienced Engineering Manager - Customer Growth & Experience
See role
New York
Machine Learning Engineer - Fraud Data
See role
New York
Senior Data Scientist
See role
New York
Senior Machine Learning Engineer
See role
New York
Senior Machine Learning Engineer - Data Foundation and AI
See role
New York
Senior Software Engineer - Backend
See role
New York
Senior Software Engineer - Credit ML Products
See role
New York
Senior Software Engineer - Fullstack
See role
New York
Senior Staff Software Engineer, API & Developer Experience
See role
New York
Senior Staff Software Engineer – Network Enablement (SF and NYC)
See role
New York
Software Engineer - Backend
See role
New York
Software Engineer - Platform
See role
New York
Staff Machine Learning Engineer - Fraud Data
See role
New York
Staff Software Engineer - Credit ML Products
See role
New York
Staff Software Engineer, Product
See role
San Francisco
Engineering Manager - Customer Foundations
See role
San Francisco
Engineering Manager - Machine Learning
See role
San Francisco
Engineering Manager- Machine Learning Infrastructure
See role
San Francisco
Engineering Manager, Product Foundations
See role
San Francisco
Experienced Engineering Manager - Customer Growth & Experience
See role
San Francisco
Machine Learning Engineer - Fraud Data
See role
San Francisco
Senior Data Scientist
See role
San Francisco
Senior Data Scientist - Finance Management
See role
San Francisco
Senior Machine Learning Engineer
See role
San Francisco
Senior Machine Learning Engineer - Data Foundation and AI
See role
San Francisco
Senior Software Engineer - Backend
See role
San Francisco
Senior Software Engineer - Credit ML Products
See role
San Francisco
Senior Software Engineer - Data Infrastructure
See role
San Francisco
Senior Software Engineer - Fullstack
See role
San Francisco
Senior Software Engineer - ML Infrastructure
See role
San Francisco
Senior Staff Software Engineer, API & Developer Experience
See role
San Francisco
Senior Staff Software Engineer – Network Enablement (SF and NYC)
See role
San Francisco
Software Engineer - Backend
See role
San Francisco
Software Engineer - Platform
See role
San Francisco
Staff Machine Learning Engineer - Fraud Data
See role
San Francisco
Staff Software Engineer - Credit ML Products
See role
San Francisco
Staff Software Engineer, Product
See role