Sr. Data Scientist, Devices Decision Science

Amazon; Seattle (WA); On-site; USD 143,000 - 248,000; Full time

Job summary

A leading tech company in Seattle is seeking a Senior Data Scientist to drive product strategy through demand forecasting and customer segmentation analysis. You will develop sophisticated models, collaborate with marketing and finance, and mentor junior data scientists. The ideal candidate will have extensive experience in data science and a quantitative degree. This position offers competitive salary and excellent benefits.

Benefits

Comprehensive medical benefits

401(k) plan

Employee discount

Flexible schedules

Qualifications

• 5+ years of experience in data querying languages.
• 4+ years of experience as a data scientist.
• Experience with statistical models like regression.

Responsibilities

• Develop and execute conjoint surveys for consumer insights.
• Build demand models using survey data and historical sales.
• Collaboration with cross-functional teams for data-driven insights.

Skills

Data querying languages (SQL)

Scripting languages (Python)

Statistical modeling

Machine learning algorithms

Education

Bachelor's degree in a quantitative field

Tools

R

SAS

Matlab

Job description

Sr. Data Scientist, Devices Decision Science

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Sr. Data Scientist, Devices Decision Science

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Description

The Decision Science team within Amazon Devices is seeking an experienced Senior Data Scientist to lead the development and implementation of sophisticated demand forecasting models and customer segmentation analyses that will shape our future product portfolio.

Description

The Decision Science team within Amazon Devices is seeking an experienced Senior Data Scientist to lead the development and implementation of sophisticated demand forecasting models and customer segmentation analyses that will shape our future product portfolio.

Are you excited about making multi-million dollar decisions science- and data-driven? Are you interested in supporting Consumer Hardware device concepts from innovative idea to launch? Do you want to work on a science team focused on scaling a variety of econometric and machine learning models? This could be the role for you!

The Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support over 100 device-specific analyses a year on hardware and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera. We apply science models to multi-million dollar, one-way door decisions. The successful candidate will excel at exploring and simplifying internal customer business problems, and delivering deliver solutions to those problems that can eventually scale to self service tools.

Key job responsibilities

Responsibilities

As a Data Scientist III at Amazon Devices, you will play a crucial role in shaping our product strategy and launch plans through advanced pre-launch forecasting and customer segmentation analysis. Your primary responsibilities will include:

• Develop and execute sophisticated conjoint surveys to gather critical consumer insights for upcoming device launches.
• Build and refine demand models using conjoint survey data and historical sales information to produce accurate pre-launch forecasts for new Amazon devices.
• Lead the advancement of customer segmentation analysis, identifying key characteristics and behaviors of device purchasers across different product lines.
• Collaborate with cross-functional teams including Product Management, Marketing, and Finance to translate data-driven insights into actionable strategies for product development and go-to-market plans.
• Design and implement machine learning algorithms to enhance the accuracy of demand forecasts and improve customer segment identification.
• Stay current with the latest developments in data science techniques, particularly in the areas of conjoint analysis, demand modeling, and customer segmentation.
• Mentor junior data scientists and contribute to the overall growth of the data science practice within Amazon Devices.
  
  

Basic Qualifications

• 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
• 4+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression
• Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
  
  

Preferred Qualifications

• Experience as a leader and mentor on a data science team
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
  
  

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 $143,300/year in our lowest geographic market up to $247,600/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: A2899849

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  Software Development

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