
Data Scientist – Network Value
Plaid
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Salary
💰 $162,000 - $222,000 per year
About the role
- 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.
Requirements
- 2+ 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
Benefits
- Medical
- Dental
- Vision
- 401(k)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisdata modelingmachine learningSQLPythondata storytellingexperimentationadvanced analyticsdata pipelinesmetrics frameworks
Soft Skills
analytical rigorevidence-based decision-makingcross-functional collaborationclear communicationstrategic insightinfluenceaccountability