Data Scientist, Rapid & Rural Logistics (R2L

Description

The R2L team is responsible for building the next generation supply chain for Amazon’s world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes!

We are looking for a Data Scientist to join our team and solve some of the most complex business problems!

• Work with product managers, engineers, other scientists, and leadership to identify and prioritize complex problems.

• Interview stakeholders to gather business requirements and translate business problems into data science or analytical problems

• Design, develop, and evaluate highly innovative statistics and ML models

• Guide and establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation

• Proactively seek to identify business opportunities and insights and provide solutions to shape key business processes and policies based on a broad and deep knowledge of Amazon data, industry best-practices, and work done by other teams.

In this role, you will be a technical expert with significant scope and impact. You will work with Product and Supply Chain Managers, Business Intelligence Engineers, System Developers and other Scientists, to develop models that solve a wide range of complex and ambiguous business problems, with the main goal to improve customer experience, improve availability of products and reduce supply chain cost.

A successful Data Scientist will have bias for action needed in a startup environment, with great leadership skills, proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. It will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term scientific solutions. We are seeking someone who can thrive in a fast-paced, high-energy and fun work environment where we deliver value incrementally and frequently.

We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.

The R2L team is responsible for building the next generation supply chain for Amazon’s world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes!

• Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

• Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or PhD and 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience

• Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets

• Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders

• Experience working in a fast-paced, team environment

• • Ability to dive deep into complex technical problems and drive change.

• Excellent…