# Senior Data Scientist - Network Value (Credit)

**Company**: Plaid
**Location**: San Francisco
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $190.8K - $262.8K
**Category**: Data Science
**Industry**: Finance

**Apply**: https://jobs.ashbyhq.com/plaid/172bb8e8-7dc8-4fdc-ae20-525456989ff4?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b74ab984-b8c

## Description

The Network Value Data Science team at Plaid is seeking a Senior Data Scientist to support Credit, a critical product area within Plaid's Network Value portfolio.

The ideal candidate will be a data and analytical thought partner to product managers, engineers, and cross-functional stakeholders, helping shape Credit product strategy, improve product performance and user experience, and grow Plaid's consumer network.

Responsibilities:

- Translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and KPIs tied to business goals and user experiences, and support feature-shipping decisions through experimentation.

- Work with SQL, Python, Redshift, Databricks, notebooks, dbt, and Airflow to enable trustworthy analytics and scalable reporting.

- Champion a data-first approach to decision-making across Plaid and help teams use evidence to set direction.

- Partner closely with product managers, engineers, and other stakeholders to define problems, shape product strategy, and execute against roadmaps.

- Identify novel ways to influence top-line OKRs and help stakeholders make thoughtful prioritization, roadmapping, and execution decisions.

Requirements:

- 5–8+ years of experience as a Data Scientist or in a related analytics or data-focused role.

- Experience as a product data scientist helping grow an early-stage or consumer-facing product, ideally from 0 to 1.

- Experience with experimentation, ad-hoc analysis, and strategic insight generation in a product environment.

- Strong SQL skills and experience creating metrics that drive alignment and decision-making with stakeholders.

- Experience driving data-informed performance improvements for user-facing products.

- Experience building or partnering closely on data pipelines using tools such as Airflow and dbt.

- A track record of identifying novel ways to impact a top-line OKR and influencing stakeholders on prioritization, roadmapping, and/or execution.

- Strong communication skills and the ability to explain analytical methods, tradeoffs, and recommendations to product managers, engineers, and other cross-functional partners.

Nice-to-have qualifications:

- Fintech experience, including experience working with raw fintech or financial transaction data.

- Experience with causal inference or machine learning.

- Python proficiency.

Compensation:

- $190.8K - $262.8K per year

## Skills

### Required
- SQL
- Python
- Redshift
- Databricks
- dbt
- Airflow
- data modeling
- dashboarding
- experimentation
- strategic analysis

### Nice to have
- fintech experience
- causal inference
- machine learning

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/plaid/172bb8e8-7dc8-4fdc-ae20-525456989ff4?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)