Sr. Data Scientist, Devices Decision Science

Amazon; Seattle (WA); On-site; USD 90,000 - 160,000; Full time

Job summary

Join a forward-thinking team at a leading tech company as a Senior Data Scientist, where you'll leverage your expertise in data science to drive product strategy and launch plans. You'll be at the forefront of shaping innovative consumer hardware, utilizing sophisticated forecasting models and customer segmentation analyses. Collaborate with cross-functional teams to translate insights into actionable strategies, and mentor junior data scientists to foster growth within the practice. This role offers the chance to make impactful, data-driven decisions that influence multi-million dollar product launches. If you're passionate about data and innovation, this is the perfect opportunity for you.

Qualifications

• 5+ years of experience with data querying languages and scripting.
• Experience with statistical models and data science techniques.

Responsibilities

• Develop and execute conjoint surveys for consumer insights.
• Build demand models using survey data and historical sales.

Skills

SQL

Python

Statistical Models

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.