About This Opportunity
Have you ever wondered how that Amazon box with the smile arrives so quickly, where it came from, and how much it cost Amazon to deliver? The WW Amazon Log
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
- Have you ever wondered how that Amazon box with the smile arrives so quickly, where it came from, and how much it cost Amazon to deliver? The WW Amazon Logistics, Business Analytics team manages the delivery - 10+ years of building machine learning models or developing algorithms for business application experience- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience- Knowledge of programming languages such as C/C++, Python, Java or Perl- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- Knowledge of deep learning, machine learning and statistics- 4+ years of scripting, programming, or security code review in a common language, such as Python, Java or C++ experience- Knowledge of mathematical/statistical/physics fundamentals- Experience in successful technology product work from ideation through launch- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience in science or engineering team management- Experience leading and managing a team (external or internal as required)- Experience shaping business strategy for technical products or services for large enterprises or partners- Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership- 5+ years of data science, business analytics, business intelligence, or similar experience in big data environments experience- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.- PhD or equivalent research experience, or PhD and 12+ years of applied research experienceOur 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 Research Science Manager, Last Mile Science And Analytics at Amazon should be evaluated by matching the role title, category, location and experience requirement with your resume before applying.
- Candidate fit: this IT Jobs is best for applicants who can show relevant skills, projects or work experience connected to the role.
- Experience check: compare your profile with 10+ 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?
ManaCoding Jobs is a job-discovery platform. We organize role information and source links, but candidates should verify final details on the official employer or source page before applying. Salary is shown only when available from the listing/source; otherwise it is marked as not disclosed.