Amazon Manager Research Science Fulfillment Planning 

United States, Washington, Bellevue 

898928349

Key job responsibilities
As a Manager of Research Science within FPX Science team, you will lead a team of research and applied scientists towards designing and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models. You will have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry, with some of the best product managers, research scientists, statisticians, and software engineers to integrate scientific work into production systems. You will bring deep technical expertise in the area of Machine Learning, and will play an integral part in building Amazon's Fulfillment Optimization systems. Other responsibilities include:* Lead a team of research and applied scientists towards design, development and evaluation of highly innovative ML models for solving complex business problems.
* Technically lead and mentor the scientists on the team.
* Research and apply the latest ML techniques and best practices from both academia and industry.
* Use and analytical techniques to create scalable solutions for business problems.
* Work closely with software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.
* Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
A day in the life

- Ph.D. in Computer Science, Operations Research, Operations Management, Industrial Engineering, Statistics, Applied Mathematics, or a related field
- 5+ years of hands-on experience in building machine learning models in business environment
- Proven track in leading and mentoring scientists with demonstrated ability to serve as a technical lead
- Strong fundamentals in problem solving, algorithm design and complexity analysis
- Excellent communication skills, both written and oral catered appropriately towards both technical and business people.
- Demonstrated ability to document the models and analysis and present the results/conclusions in order to influence business critical decisions

- Experience leading a team of scientists across disciplines including RS, AS, DS
- Prior well-established world-class recognized academic experience including multiple publications in top-tier academic journals; or industry experience conducting research in the aforementioned areas with proven track record in developing solutions for major business problems, demonstrating significant innovation, creativity and judgment
- Deep technical knowledge of machine learning and statistical methodologies
- Prior experience modeling supply chain related problems
- Experience of applying hybrid techniques in the space of ML and Operations Research is a big plus
- Experience with fully automated machine training (e.g., automatic re-training, automatic testing)
- Experience with high-impact decisions (>$1B)
- 5+ years of production coding experience in one of the object-oriented programming languages such as Java, Python, C++, etc is a big plus.