Plaid

Data Scientist – Network Value

Plaid

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaUnited 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