Data Scientist
Amazon Commercial Services Pty Ltd
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This role on the market
2,015 open scientist roles across 306 companies are on ApplySarthi right now, most of them in Bengaluru (133), Hyderabad (68), Delhi NCR (33).
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What scientist roles keep asking for: Python (47%), Machine learning (36%), SQL (22%), C++ (18%), Java (17%), Deep learning (14%), R (13%), LLMs (13%) — counted across their open postings here.
Remote Data Scientist jobs · Hadoop jobs · Machine learning jobs · Perl jobs · Python jobs
Amazon Commercial Services Pty Ltd has 90 open roles listed here.
- Supply Chain Manager, Inbound Vendor Excellence
- Process Assistant (Operations Supervisor), Reverse Logistics (ReLo)
- Strategic Account Manager, Strategic Account Services
- Operations Supervisor (Process Assistant), Inbound - Day Shift
- HR Program Manager
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, C++. Practise those questions before you sit with Amazon Commercial Services Pty Ltd.
Questions you are likely to be asked
- Why do you want to join Amazon Commercial Services Pty Ltd?
- What is your experience with Hadoop? Tell me one thing you learned the hard way.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
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Practise the Data Scientist at Amazon Commercial Services Pty Ltd interview free →Amazon’s operations in Australia is at a unique phase of rapid expansion. As our selection and local fulfilment network grows, the complexity of managing supply chain increases. To systemically address Basic qualifications: - 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - 2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience - Experience applying theoretical models in an applied environment Preferred: - Experience in Python, Perl, or another scripting language - Experience in a ML or data scientist role with a large technology company Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Listed on amazon · posted 2026-08-20. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Commercial Services Pty Ltd, not by us.