Data Scientist, Rapid & Rural Logistics (R2L)

Amazon • New York, NY

4d

About The Position

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!

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!

Requirements

• 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 problem solving skills with a strong attention to detail.

Nice To Haves

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
• Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
• Experience working with or evaluating AI systems
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions
• Experience effectively communicating complex concepts through written and verbal communication

Responsibilities

• 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.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level