Job Description

DESCRIPTION

The Inventory Placement team within the Supply Chain Optimization Technologies organization seeks a Principal Data Scientist to lead the design and implementation of experiments and causal impact analyses across all placement initiatives.

Key job responsibilities
The Principal Data Scientist in Inventory Placement will seek to measure all initiatives, improvements, and initiatives in inventory placement to help guide development towards the most impactful and cost-effective ideas. In this role, you will apply advanced analysis techniques and statistical concepts to draw insights from massive datasets. You will work closely with engineers, business intelligence engineers and technical product managers to obtain relevant datasets and create experimental designs, statistical models, and review key results with business leaders and stakeholders. Your work will exhibit a balance between high scientific standards and business practicality.
To be successful in this role, you must be able to turn ambiguous business questions into clearly defined problems, develop quantifiable metrics and deliver results that meet high scientific standards.

About the team
The Supply Chain Optimization Technologies (SCOT) organization owns Amazon\'s global inventory management systems: we decide what, when, where, and how much we should buy to meet Amazon\'s business goals and to make our customers happy. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are on the cutting edge in automated large-scale business, inventory and supply chain planning and optimization systems. We foster new game-changing ideas, creating ever more intelligent and self-learning systems to maximize the efficiency of Amazon\'s inventory investment and placement decisions.
The Placement team operates within Amazon\'s Supply Chain Optimization Technology/Inventory Planning and Control organization. Its primary responsibility is strategically determining the placement of every inventory unit for both the Retail and FBA businesses across all Amazon websites globally. The team manages systems that optimize the vast fulfillment network, ensuring the ideal inventory placement to enhance customer and seller satisfaction on a global scale.

We are open to hiring candidates to work out of one of the following locations:

Toronto, ON, CAN

BASIC QUALIFICATIONS

- MS in Mathematics, Statistics, Machine Learning, or a related quantitative field
- 7+ years industry experience building successful production software systems
- Deep understanding and practical experience in statistics and machine learning, with a focus on experimental design and causal inference.

PREFERRED QUALIFICATIONS

- PhD in Mathematics, Statistics, Machine Learning, or a related quantitative field
- Experience working in data science in the supply chain domain
- Significant peer reviewed scientific contributions in Data Science, Analytics, Statistics, or related field.
- Extensive experience applying theoretical models in an applied environment
- Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
- Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker.
- Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds
- Successful record of developing less experienced team members to a successful career track.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

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