Sr Data Scientist

PayPal

Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$143,500–$212,850 / yr
Posted
90 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $154k
This role $178k
$97k most similar roles pay here $229k

This role pays more than 73% of similar roles. Most pay $126,800–$181,855 — the shaded band above. At the midpoint, this role pays about $178k versus about $154k for comparable roles.

Based on 240 similar postings.

Employer

About PayPal

PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.

PayPal currently has 84 open roles on FindRole.

Listed pay typically runs $160,500–$235,826 across 84 roles with salary data.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR · Sr Data Scientist

As a Data Scientist joining the PayPal World product team, you will focus on providing critical data science and analytics support to manage chargeback and risk performance for partner wallets. Your daily responsibilities include conducting research, analyzing data, and developing strategies to optimize financial processes and mitigate risks. You will work closely with partners to discuss performance metrics, negotiate terms, and implement corrective actions to enhance overall network stability. The ideal candidate has experience in building data science infrastructure within the financial industry and can independently design and execute complex analytics projects to drive business outcomes. Familiarity with risk management and data-driven operations is essential, as you will be working at scale to address significant business challenges in a fast-paced environment.

What you'll do

  • Analyze chargeback and risk performance for partner wallets on the PayPal World network.
  • Develop data science infrastructure to manage financial processes related to risk management.
  • Support performance discussions, negotiations, and remedial actions with partners.
  • Design and execute data analytics projects independently to support business outcomes.
  • Provide data-driven insights to improve risk management and chargeback performance.

What we're looking for

  • Experience in financial industry and risk management required.
  • Ability to develop data science infrastructure for financial processes preferred.
  • Proficient in designing and executing data analytics independently.
  • Expertise in supporting business outcomes through data-driven operations.
  • Knowledge of chargeback and risk performance management essential.

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