Sr. Applied Scientist, WWGS Real Estate & Store Development

Amazon; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon's WWGS Location Strategy and Analytics team seeks a Senior Applied Scientist to develop forecasting and optimization models guiding real estate and store network decisions for Whole Foods Market.

You will build end-to-end ML solutions, leverage GenAI to enhance user interactions, mentor junior scientists, and present insights to executives while collaborating with economists and business partners.

Qualifications

• PhD or Master’s degree with 10+ years of research/industry experience
• 5+ years building ML models for business applications
• Experience programming in Java, C++, Python or related language
• Experience building ML models for business applications

Responsibilities

• Design and implement forecasting models and ML solutions to predict store performance and optimize the retail network
• Analyze large datasets to uncover insights related to store performance and market dynamics
• Develop end-to-end solutions, tools, and frameworks to scale ML model development and MLOps
• Leverage GenAI models to enhance user interaction and build new features
• Present research findings and recommendations to scientists, leaders, and executives
• Collaborate with cross-functional teams to drive model adoption and impact
• Mentor junior scientists and support their professional growth
• Stay current on advances and propose innovative approaches

Skills

Java

C++

Python

Machine learning

Education

PhD

Master's degree

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Job ID: 10416105 | Amazon.com Services LLC

Do you want to help shape the future of Amazon's physical retail presence? Worldwide Grocery Stores (WWGS), Location Strategy and Analytics team is looking for aSr. Applied Scientistto join us in developing advanced forecasting models, optimization models, and analytical tools to support critical real estate and network planning decisions for Amazon's Worldwide Grocery business, including Whole Foods Market.

Our team is responsible for developing predictive models and tools to support Real Estate and Topology analysts in making important decisions regarding our stores—including new store openings, relocations, closures, remodels, design, new formats, and more. We leverage statistical modeling, machine learning, and GenAI to build solutions for store sales forecasting, sales transfer effects, macrospace optimization, store network optimization, store network diffusion planning, and causal effects.

As aSr. Applied Scientiston our team, you will apply your deep technical expertise to tackle complex business problems and develop innovative solutions to improve our forecasting, decision-making capabilities, and MLOps. You will collaborate with a diverse team of scientists, economists, and business partners to identify opportunities, develop hypotheses, build internal products, and translate analytical insights into actionable recommendations for Executive Leadership.

Key job responsibilities

• Design and implement forecasting models and machine learning solutions to predict store performance and optimize our retail network.
• Analyze large datasets to uncover insights and patterns related to store performance, customer behavior, and market dynamics.
• Develop and own end-to-end solutions, tools and frameworks to scale our ML model development, MLOps, and data analysis.
• Leverage GenAI models to enhance user interaction with our solutions, improve overall user experience, and build new features.
• Present research findings and recommendations to scientists, business leaders, and executives.
• Collaborate with cross-functional teams to drive adoption of models and insights.
• Mentor junior scientists, providing technical guidance and supporting their professional growth.
• Stay current on latest developments in relevant fields and propose innovative approaches.

About the team

We are a team of scientists passionate about leveraging data and advanced analytics to drive strategic decisions for Amazon's grocery business. Our work directly impacts Amazon's worldwide grocery store growth and development strategy. We foster a collaborative environment where team members are encouraged to think creatively, challenge assumptions, and pursue novel approaches to solving complex problems. Our team is at the forefront of applying a multitude of techniques - including GenAI - to improve our scientific solutions and products.

Basic Qualifications

• PhD, or Master's degree and 10+ years of industry or academic research experience
• 5+ years of building machine learning models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience in building machine learning models for business application

Preferred Qualifications

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Experience with conducting research in a corporate setting

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 .

Preferred Qualifications

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Experience with conducting research in a corporate setting

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 (RSU) . 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, Seattle - 167,100.00 - 226,100.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.