Data Scientist, SMB Ads Growth
We are looking for a sharp Data Scientist to join the team focused on driving growth within our Small to Medium Business (SMB) advertising products. This role requires developing and implementing advanced analytical models to maximize user adoption, improve campaign efficiency, and expand market reach for our advertisers. Key responsibilities include analyzing usage patterns across various SMB segments, designing sophisticated attribution models, and running rigorous A/B tests to validate hypotheses on pricing or feature changes. You will partner closely with Product Managers and Marketing teams to translate data insights into measurable growth initiatives. The ideal candidate possesses deep statistical knowledge, experience in ad platforms, and a proven track record of driving quantifiable business impact through robust data modeling.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2100
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Data Scientist, SMB Ads Growth?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Data Scientist, SMB Ads Growth?
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 OpenAI 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 Data Scientist, SMB Ads Growth 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: Data Science, AdTech, Growth Strategy, Statistics, A/B Testing.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.