Applied Scientist - Optimization and Decision Sciences, Cognitive Science Team

Amazon; Seattle (WA); On-site; USD 150,000 - 260,000; Full time

Job summary

Amazon is seeking an Applied Scientist to drive advanced optimization and decision-making processes in a dynamic team environment. This role focuses on model development for pricing optimization and promotion planning, requiring a PhD or Master's in a related field and experience with machine learning models and programming in Python, Java, or C++. Join a collaborative culture focused on mentorship and innovation in building scalable, impactful solutions.

Qualifications

• PhD or Master's with 6+ years of applied research experience.
• 3+ years of machine learning models experience.
• Strong programming skills in Python, Java, or C++.

Responsibilities

• Research and implement optimization algorithms and models.
• Collaborate with cross-functional teams to apply model insights.
• Develop and maintain optimization frameworks and tools.

Skills

Machine Learning

Optimization

Decision Making

Data Analysis

Communication

Education

PhD or Master's degree

Tools

Python

Java

C++

Job description

Applied Scientist - Optimization and Decision Sciences, Cognitive Science Team

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Applied Scientist - Optimization and Decision Sciences, Cognitive Science Team

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Description

Are you excited about developing science-enabled [decision (optimization), data (ML) and automation (AI)] products to enable multi-million dollar decision making? Are you interested in developing science-enabled price optimization, promotion planning and what-if simulations for demand planning? Do you want to be a part of a multi disciplinary science team focuses on tackling some of the big business problems with within the Devices business at Amazon? Then this could be the role for you!

Description

Are you excited about developing science-enabled [decision (optimization), data (ML) and automation (AI)] products to enable multi-million dollar decision making? Are you interested in developing science-enabled price optimization, promotion planning and what-if simulations for demand planning? Do you want to be a part of a multi disciplinary science team focuses on tackling some of the big business problems with within the Devices business at Amazon? Then this could be the role for you!

The Amazon Devices & Services, Demand Science Optimization Organization is seeking a scientist with strong analytical and communication skills to help with pricing optimization and promotion planning for the entire Amazon device family of products and services. Amazon Devices represents a highly complex space with 100+ products across several product categories that includes Echo, Kindle, Fire Tablets, Amazon TVs, Amazon Fire TV sticks, Ring, and other smart home devices for sale both online and in offline retailers globally.

We develop scalable and robust state-of-the-art deterministic and stochastic optimization models and algorithms, and what-if scenario planning simulation tools with (linear and dynamic) price optimization and promotion planning. We also build HOTW recommendation and decisions systems to deliver these results for our internal customers decision making processes. With better price optimization and promotion planning, we manage demand and drive down promotion and supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers globally.

We are looking for an Applied Scientist with background in Operations Research, Optimization, Supply Chain, Industrial & Systems Engineering, Simulation, Recommendation Systems and Decision Making Systems.

In this role, you will have an opportunity to both develop advanced scientific solutions, and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building, managing and improving optimization, simulation and HOTW decision models, building prototypes and products, and exploring conceptually new solutions, to working with partner teams for prod deployment that will be used primarily for Promotion Optimization and Scenario Planning Capabilities for in-period promotion, and long-term financial planning.

You will collaborate closely with scientists, engineering peers as well as business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices and Services.

You are an individual with avanced analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, analyzing prescriptive optimization models and developing smart automation solutions.

Key job responsibilities

• Research, design, prototype, experiment and implement advanced optimization algorithms and models to address challenging business problems by using modeling languages such as Python; participate in the production level deployment
• Collaborate with cross-functional teams including product management, marketing, and operations to translate model insights into actionable business strategies
• Develop and maintain optimization frameworks, libraries, and tools to enable scalable and efficient optimization and automation capabilities
• Analyze optimization results, identify bottlenecks, and continuously improve the performance and accuracy of optimization models
• Stay up-to-date on the latest academic research and industry best practices in optimization techniques and tools, and identify opportunities to apply new approaches
• Create and track accuracy and performance metrics (both technical and business metrics)
• Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders
• Drive best practices on the team; mentor and guide junior members to achieve their career growth potential
  
  

A day in the life

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

About The Team

The vision for Cognitive Science Team is to deliver science-enabled HOTW demand planning and shaping solutions for Devices Product Lines to support our partners’ decision making processes. We will accomplish our vision by (1) utilizing accelerated applied science with optimization, simulation, scenario planning, Machine Learning and Generative AI, (2) performing rapid research & innovation, developing incremental products, and automating processes, (3) developing optimized price and promotion planning.

Basic Qualifications

• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• 3+ years of building machine learning models for business application experience
• PhD in engineering, technology, computer science, machine learning, robotics, operations research, management science, operations management, statistics, mathematics or equivalent quantitative field.
  
  

Preferred Qualifications

• 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.
• Strong core competency in mathematics and statistics.
  
  

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.


Company - Amazon.com Services LLC

Job ID: A2999037

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  Software Development

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