Data Scientist II, Device Economics

We are seeking Data Scientist II with strong science application skills to join our Device Economics team. This role will focus primarily on Amazon's innovative devices and services (e.g. Echo Family of Devices), working at the intersection of economic modeling, forecasting science, and business strategy. The ideal candidate will be responsible for pre-launch forecasts, annualized overall forecasts, identifying substitution patterns, and partnering closely with product managers and marketing managers to understand the evolution of the Devices portfolio.

Key job responsibilities

Forecasting & Modeling

1. Develop and maintain pre-launch forecasts and annualized overall forecasts for Amazon Devices

2. Identify and model substitution patterns across the device portfolio

3. Build economic and financial models to support demand planning and business decisions

4. Formulate relevant analytical frameworks to address key economic issues in device forecasting

Science Communication & Collaboration

1. Explain complex science models and methodologies to non-technical stakeholders including product managers and marketing managers

2. Collaborate with economists, data scientists, and applied scientists across Decision Science

3. Present results of analyses to cross-functional teams and leadership

4. Build trust in science models and forecast outputs with product teams

Innovation & Strategic Thinking

1. Think creatively about ways that leading-edge analytics and emerging data sources can address Devices' most pressing business challenges

2. Help internal teams leverage analytic tools to better manage innovation

3. Conduct empirical studies and perform quantitative and qualitative research

4. Identify opportunities to improve forecasting accuracy and business impact

Cross-Functional Partnership

1. Work closely with product managers and marketing managers to understand portfolio evolution and business strategy

2. Support DSO leadership in quarterly business reviews and strategic planning

A day in the life

Your days will be split between refining and building models and working with business leaders to interpret them. You own science-based forecasts that can directly impact Amazon's bottom line on the order of multi-million dollar decisions.

- You will perform model refreshes or updates to analyses as needed; and,

- You will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems.

About the team

The Decision Science team within DSO (Device Supply Organization) is responsible for forecasting and demand planning initiatives across Amazon Devices. The DSO team of 300+ engineers, scientists, and PMs applies quantitative methods and data-driven approaches to replace judgment-based decisions with science-driven forecasts. Decision Science focuses on lifetime demand forecasting using econometric and machine learning models for rapid reforecasting, mix adjustments, and portfolio management for new product launches. We also inform to go/no-go investment decision for new product initiatives

Basic qualifications

- Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field

- 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience

- Experience using data and metrics to drive actionable insights at scale

Preferred qualifications

- Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing)

- Experience with AWS technologies

- Experience with demand forecasting in retail, e-commerce, or consumer electronics

- Background in portfolio optimization or product mix analysis

- Familiarity with substitution modeling and cannibalization analysis

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.

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.

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