About This Opportunity
Are you passionate about applying machine learning and advanced statistical techniques to protect one of the world's largest online marketplaces? Do you wa
This listing is organized to help candidates compare the role, location, experience level and application source before visiting the employer or source website. Final eligibility, salary, selection process and deadlines should be confirmed from amazon.jobs.
Skills And Responsibilities
- Are you passionate about applying machine learning and advanced statistical techniques to protect one of the world's largest online marketplaces? Do you want to be at the forefront of developing innovative - 8+ years of data querying languages (e.g
- SQL), scripting languages (e.g
- Python) or statistical/mathematical software (e.g
- R, SAS, Matlab, etc.) experience- 8+ years of data scientist experience- Experience with statistical models e.g
- multinomial logistic regression - Experience as a leader and mentor on a data science teamOur 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.
How To Apply
- Read the summary, experience requirement, location and deadline on this page.
- Open the official application/source link for the final employer instructions.
- Prepare an updated resume, education details, work samples if relevant, and identity documents only when requested by the official process.
- Apply only through the official source. Do not pay registration fees or share OTPs, banking passwords or UPI PINs.
Eligibility Notes
Candidates should compare their qualification, experience, skills, location preference and availability with the official job description. If a requirement is not clearly mentioned here, treat it as employer-specific and verify it on the source page.
Candidate Guidance
Senior Data Scientist, IES CFX & Prime at Amazon should be evaluated by matching the role title, category, location and experience requirement with your resume before applying.
- Candidate fit: this Data Science Jobs is best for applicants who can show relevant skills, projects or work experience connected to the role.
- Experience check: compare your profile with 8+ yrs; if you are a fresher, highlight projects and internships, and if experienced, show measurable work outcomes.
- Location/work mode: verify whether IN, KA, Bengaluru is onsite, hybrid, remote, rotational shift or relocation-based on the official source page.
- Application safety: use the official application/source link, avoid registration fees and do not share OTPs, bank details or original documents through unofficial channels.
Before Applying, Check
- Does my resume clearly show the skills required for this role?
- Have I checked the official source page for the latest eligibility and location details?
- Do I understand the interview process, work mode and joining requirements?
- Is the application link asking only for normal job-application information?