Data Optimization Specialist
hace 3 semanas
As part of Amazon's Last Mile Execution Analytics organization, the ideal candidate will work closely with research scientists, machine learning experts, and economists to design and run experiments, create analyses, and find new ways to improve last mile analytics. This role requires strong skills in optimization modeling, Python coding, data collection, and analysis.
About AmazonAmazon is a leading e-commerce company that aims to provide fast and cost-effective delivery to its customers. The company manages the delivery of tens of millions of products every week, achieving on-time delivery in a manner that delights its customers.
Job DescriptionThe Data Optimization Specialist will partner with technology and product leaders to solve business and technology problems using scientific approaches. Key responsibilities include designing and developing advanced mathematical models, applying them to define strategic needs, and driving appropriate business solutions. The specialist will also research, prototype, simulate, and experiment with these models using Python or R, and participate in production-level deployment.
Required Skills and Qualifications- Mastery of optimization modeling techniques, including linear, quadratic, and mixed-integer programming
- Strong experience with Python coding and data collection
- Ability to interpret regression model coefficients in non-mathematical terms
- Familiarity with various probability distributions
Amazon offers a competitive salary range of $145,000 - $220,000 per year, depending on experience. Benefits include a comprehensive health insurance package, 401(k) matching, and opportunities for professional growth and development.
About the TeamThe Last Mile Execution Analytics team is responsible for designing and implementing strategies to optimize last-mile delivery. The team works closely with other research scientists, machine learning experts, and economists to achieve this goal. As a Data Optimization Specialist, you will join a collaborative and dynamic team that is passionate about solving complex problems and improving customer experience.
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