Are you passionate about solving complex logistics challenges? Our Analytics team is at the forefront of enhancing delivery experiences through data-driven solutions and innovative technology. As a Research Scientist, you will join a team dedicated to optimizing our delivery network, ensuring reliable and efficient service to our customers. We are seeking an enthusiastic, customer-centric professional with strong analytical capabilities to drive impactful projects, implement advanced solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of our delivery operations. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on our advanced logistics network while working with pioneering technology and data science applications.
Basic qualifications
3+ years of building machine learning models for business application experience
Knowledge of programming languages such as C/C++, Python, Java or Perl
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Preferred qualifications:
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
3+ years of extensive relevant research experience
Deep expertise in Machine Learning
Proficiency in programming
Core competency in mathematics and statistics
Track record of successful projects in algorithm design and product development
Publications at peer-reviewed conferences or journals
Strategic thinker with good execution skills
Exhibits excellent business judgment
Effective verbal and written communication skills
Experience working with real-world data sets and building scalable models from big data
Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow
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Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets
3+ years of building machine learning models for business application experience
Knowledge of programming languages such as C/C++, Python, Java or Perl
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Preferred qualifications
Knowledge of R, MATLAB, Python or similar scripting language
Experience with agile development
Experience building web based dashboards using common frameworks
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
3+ years of applied research experience
Knowledge of deep learning, machine learning and statistics
Knowledge of programming languages such as C/C++, Python, Java or Perl
Knowledge of mathematical/statistical/physics fundamentals
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Track record of successful projects in algorithm design and product development.
prior experience with mentorship and/or management of scientists
Thinks strategically, but stays on top of tactical execution.
Exhibits excellent business judgment; balances business
Effective verbal and written communication skills
Experience working with real-world data sets and building scalable models from big data.
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow,
Experience with large scale distributed systems
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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