Sr. Data Scientist, Devices Decision Science

Amazon Inc.; Seattle (WA); On-site; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is looking for a Senior Data Scientist to lead the development of advanced demand forecasting models and customer segmentation analyses. This role is pivotal in shaping product strategies and launch plans, collaborating with cross-functional teams to translate insights into actionable strategies. The ideal candidate will possess a strong background in data science, with expertise in statistical modeling and machine learning. This position offers the chance to work on cutting-edge projects that influence multi-million dollar decisions, making it an exciting opportunity for those passionate about data-driven insights and product development.

Qualifications

• 5+ years of experience with data querying, scripting, or statistical software.
• Experience with statistical models like multinomial logistic regression.

Responsibilities

• Develop and execute conjoint surveys for consumer insights.
• Build demand models for accurate pre-launch forecasts.

Skills

SQL

Python

Statistical Modeling

Conjoint Analysis

Machine Learning

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

R

SAS

Matlab

Job description

Sr. Data Scientist, Devices Decision Science

Job ID: 2899849 | Amazon.com Services LLC

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 solutions to those problems that can eventually scale to self-service tools.

Key job 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:

1. Develop and execute sophisticated conjoint surveys to gather critical consumer insights for upcoming device launches.
2. Build and refine demand models using conjoint survey data and historical sales information to produce accurate pre-launch forecasts for new Amazon devices.
3. Lead the advancement of customer segmentation analysis, identifying key characteristics and behaviors of device purchasers across different product lines.
4. 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.
5. Design and implement machine learning algorithms to enhance the accuracy of demand forecasts and improve customer segment identification.
6. Stay current with the latest developments in data science techniques, particularly in the areas of conjoint analysis, demand modeling, and customer segmentation.
7. 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.