עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
Pipl is the identity trust company. Our solutions allow organizations to provide frictionless customer experiences and approve more transactions with greater confidence and speed. We use multivariate linking to establish deep connections among more than 330 billion trust signals—email, mobile phone and social media data that spans the globe—and then look at the big picture to derive identity trust.
As a Data QA, you will play a critical role in testing our algorithms by analyzing and troubleshooting complex data — a significantly more challenging task than standard QA roles.
In your day-to-day work, you will act as the gatekeeper, ensuring the quality and performance of our core engine. This role requires a deep understanding of complex logic and infrastructure, technical operations, and underlying system architecture.
You will collaborate with teams across the company as part of a multidisciplinary core search team, contributing to the critical path for new features and POCs—from the planning phase through production.
Requirements:
- 1-3 years of experience as a Data QA / Data analyst
- B.A. degree or relevant military experience
- Experience with Python and SQL
- Strong analytical skills, an “investigating mind” and likes solving riddles
- Exceptional attention to details, likes looking beneath the surface
- High Proficiency in both speaking and writing English
- Experience with automation tools – an advantage
- Have excellent organizational, communication, and interpersonal skills
- Enjoy working in both individual and team settings
- Be passionate about data
- Have a can-do approach
- Be results-driven and able to get things done
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.