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Pinterest
Pinterest
1,001 – 5,000 कर्मचारी
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Pinterest एक विज़ुअल डिस्कवरी प्लेटफ़ॉर्म है, जहाँ लोग प्रेरणा पाते हैं, विचारों को सहेजते हैं और उन्हें अपनी रुचियों, परियोजनाओं तथा खरीदारी के अनुसार व्यवस्थित करते हैं। इसका अनुभव घर की सजावट, फ़ैशन, रेसिपी और आयोजनों जैसे विषयों पर व्यक्तिगत सुझावों और विज़ुअल सर्च को जोड़ता है। साथ ही, कॉमर्स टूल और विज्ञापन के माध्यम से क्रिएटर्स तथा रिटेलर्स को अपने दर्शकों तक पहुँचने में मदद करता है।
LinkedIn
कंपनी की नौकरियाँ

Staff Data Scientist, Trust and Safety at Pinterest

Lead data science initiatives that strengthen Pinterest’s Trust and Safety platform through machine learning, experimentation, forecasting, and rigorous measurement. Help shape proactive safety decisions for Pinterest’s global community of pinners, creators, advertisers, and merchants.

USसंयुक्त राज्यCAकैलिफ़ोर्निया
$1,64,695 – $3,39,078 / वर्ष
हाइब्रिडपूर्णकालिकलीडआवश्यक भाषा: अंग्रेज़ीडेटा वैज्ञानिक
PythonSQL

विवरण

  • Build deep expertise in Pinterest’s Trust and Safety platform while identifying funnel opportunities, risks, and measurement gaps
  • Lead initiatives that address Trust and Safety challenges across the user funnel
  • Create and productionize scalable machine-learning and evaluation frameworks for measurement, recommendations, and forecasting
  • Establish instrumentation and experimentation practices that support product engineering teams
  • Use rigorous scientific and statistical methods to guide product development and improvement
  • Prototype and refine analysis pipelines that generate insights from large-scale data
  • Develop strong knowledge of data structures and metrics, and advocate for product improvements informed by them
  • Partner with product managers, engineers, designers, researchers, and other cross-functional stakeholders
  • Present important findings and influence product decisions affecting Pinterest’s global community of pinners, creators, advertisers, and merchants
  • Advance Trust and Safety from reactive moderation and delayed harm reporting toward a proactive, metrics-driven operating model

आवश्यकताएँ

  • At least 10 years of experience analyzing data in a fast-paced, data-driven environment
  • Demonstrated ability to apply scientific methods to practical problems using web-scale data
  • Deep experience in machine learning, statistical modeling, forecasting, econometrics, or a related discipline
  • A scientifically rigorous approach to analysis and data
  • Ability to work with large, high-dimensional, complex datasets
  • Fluency in SQL or another database language
  • Fluency in Python or R
  • Strong communication and influencing skills
  • Ability to explain findings to both technical and non-technical stakeholders
  • Ability to collaborate with cross-functional leaders
  • Bachelor’s degree in computer science, a related field, or equivalent experience
  • Applicants must be based in the United States

लाभ

  • Eligibility for equity
  • Flexible working model through PinFlex
  • In-person collaboration once or twice per quarter
  • Equal opportunity and accommodation support throughout the application process

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