Plaid•22 days ago
Senior Data Scientist - Network Value (Credit)
Recruiter Fit Breakdown & Candid Summary
1
This role is ideal for senior-level data scientists with 5 to 8+ years of product analytics experience, particularly those who have scaled consumer-facing products from 0 to 1.
2
You will partner closely with product managers and engineers to build cash-flow-based products and support critical OKRs.
3
Candidates without strong SQL, experimentation, and data pipeline collaboration experience should not apply.
Role Responsibilities
- 1Partner with product managers, engineers, and cross-functional stakeholders to shape Credit product strategy and execute roadmaps.
- 2Translate ambiguous business questions into clear analytics projects, decision frameworks, and measurable outcomes.
- 3Perform ad-hoc and strategic analyses to identify opportunities to improve product performance and user experiences.
- 4Build and maintain data models, dashboards, core metrics, OKRs, and KPIs.
- 5Design and analyze experiments to inform feature launches and ship decisions.
- 6Work with SQL, Python, Redshift, Databricks, dbt, and Airflow to enable reliable and scalable analytics.
Skills Matrix
Must-Have Skills
SQL
Python
Experimentation(A/B testing)
dbt
Airflow
Data Modeling
Redshift
Databricks
Nice-to-Have Skills
No optional skills specified for this role.
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