Manager II, Machine Learning – Conversion Visibility
The Manager in ML for Conversion Visibility will drive the development of sophisticated data science models aimed at enhancing how Pinterest understands user conversion pathways. This role is highly strategic and requires a blend of advanced machine learning skills with deep business acumen concerning digital advertising and e-commerce funnels. Key responsibilities include defining metrics, designing feature sets, building predictive models (e.g., attribution modeling), and executing A/B tests to measure the impact of visibility improvements on key business outcomes. You will collaborate cross-functionally with Product Management and Data Science teams to translate complex data insights into actionable products. Proficiency in statistical analysis, expertise in Python/R for ML implementation, and a focus on maintaining high data quality are essential qualifications.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2800
Question set
120
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Manager II, Machine Learning – Conversion Visibility?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Manager II, Machine Learning – Conversion Visibility?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the Pinterest test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Manager II, Machine Learning – Conversion Visibility test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Machine Learning (ML), Conversion Optimization, Data Engineering, Statistical Modeling, A/B Testing Frameworks.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.