Sr. Data Scientist, Alexa Connections
Amazon
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This role on the market
25 open connections roles across 7 companies are on ApplySarthi right now, most of them in Chennai (2).
- Staff Software Engineer, Link - Bank ConnectionsStripe
- Associate Marketing Director - Digital and Consumer ConnectionsAbbott
- Field Service Engineer Electrical (Grid Connections)Hitachi
- Manager, Payroll ConnectionsHuman Interest
- Principal Frontend Software Engineer, ConnectionsRoblox
What connections roles keep asking for: LLMs (16%), Machine learning (16%), Java (12%), Python (12%), SQL (12%) — counted across their open postings here.
Data Scientist jobs in Canada · Remote Data Scientist jobs · AWS jobs · MATLAB jobs · Machine learning jobs · Python jobs
Amazon has 14,204 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for connections roles keep coming back to LLMs, Machine learning, Java, Python. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with R? 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 Sr. Data Scientist, Alexa Connections at Amazon interview free →As a Sr. Data Scientist in Alexa Connections, you will lead the end-to-end development of machine learning and data science solutions that power intelligent communication experiences across channels such Basic qualifications: - Bachelor's degree - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 4+ years of data scientist experience - Experience with statistical models e.g. multinomial logistic regression Preferred: - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team 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. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 143,200.00 - 239,100.00 CAD annually
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Listed on amazon · posted 2026-03-30. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.