Data Scientist II, Rapid & Rural Logistics (R2L) Analytics (Fulfillment & Operations)

Amazon Inc.; Bellevue (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Coverage

Paid Time Off

401(k) Plan

Maternity and Parental Leave Options

Job summary

Amazon.com Services LLC is seeking a Data Scientist II for Rapid & Rural Logistics Analytics. You will collaborate with product managers, engineers and leaders to tackle complex problems and translate business needs into data-driven solutions.

You will design innovative ML models and scalable data processes to improve availability and cost in Amazon's fast delivery network. The role emphasizes leading medium-scale modeling projects, communicating insights, and delivering incremental value in

Qualifications

• Master's degree in STEM or equivalent experience.
• 2+ years as a data scientist.
• 5+ years in SQL, Python or statistical software.
• 3+ years ML/statistical modeling experience.
• 1+ years evaluating AI systems.
• Strong communication of complex ideas.

Responsibilities

• Identify and prioritize complex problems with cross-functional teams.
• Translate business needs into data science problems.
• Design and evaluate ML models and statistics.
• Build scalable data analysis and model implementation processes.
• Identify opportunities and shape policies using Amazon data.

Skills

Statistical modeling

Machine learning

Python

SQL

Education

Master's degree in STEM

Ph.D. preferred

Tools

R

SAS

Matlab

Job description

Data Scientist II, Rapid & Rural Logistics (R2L) Analytics

Job ID: 10476538 | Amazon.com Services LLC

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!

Key job 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.

A day in the life

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.

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

Benefits that generally apply to regular, full-time employees include:

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

About the team

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!

Basic Qualifications

• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
• 2+ years of data scientist experience
• 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
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• 1+ years of working with or evaluating AI systems experience
• Experience applying theoretical models in an applied environment
• Experience effectively communicating complex concepts through written and verbal communication

Preferred Qualifications

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company
• Experience defining and creating benchmarks for assessing GenAI model performance
• Experience working on multi-team, cross-disciplinary projects
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually