Data Scientist / AI / ML
onhires is seeking an experienced Data Scientist skilled in Artificial Intelligence and Machine Learning to join our dynamic team. The mission of this role is to transform complex raw data into actionable insights through advanced statistical modeling and predictive analytics. Key responsibilities include designing, developing, and deploying machine learning models (e.g., NLP, Computer Vision). You will be responsible for end-to-end model lifecycle management—from initial data cleaning and feature engineering to rigorous testing and production deployment. Ideal candidates possess deep expertise in Python, SQL, major ML frameworks (TensorFlow, PyTorch), and a strong academic background. Collaboration with product teams is key to solving real-world business challenges, driving innovation across our platform. *Qualifications: Master's or PhD preferred; 3+ years experience in data science.*
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1950
Question set
200
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Data Scientist / AI / ML?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Data Scientist / AI / ML?
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 onhires 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 / AI / ML 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, Artificial Intelligence, Machine Learning.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.