Applied Scientist II, AWS Central Economics and Science

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

Job summary

Join a forward-thinking company as an Applied Scientist, where you'll leverage your expertise in machine learning to develop innovative models that empower AWS sellers. This role offers a unique opportunity to work on complex challenges in a supportive environment that values both professional growth and personal well-being. You'll collaborate with cross-functional teams to translate data insights into actionable strategies, all while enjoying a culture that prioritizes fun and engagement. If you're passionate about data and eager to make a significant impact, this is the perfect opportunity for you.

Qualifications

• PhD or Master's with 4+ years in CS, CE, ML or related field.
• 3+ years building models for business applications.

Responsibilities

• Develop and maintain ML models for AWS sellers.
• Collaborate with business leaders to guide strategic decisions.

Skills

Machine Learning

Data Analysis

Java

C++

Python

Algorithms and Data Structures

Numerical Optimization

Data Mining

Education

PhD in Computer Science

Master's in Computer Science

Tools

Unix/Linux

Job description

We are hiring an Applied Scientist for a cross-functional team that builds ML-based products to help AWS sellers understand customers and optimize sales strategies. This scientist will help develop and maintain a suite of ML models that identify the most valuable opportunities and customers for AWS sellers to engage and the types of actions they should take to optimize those engagements.

Key job responsibilities

This applied scientist role partners with AWS business leaders across the organization to develop and deliver models and evidence to guide strategic decision and planning. The successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges and ambiguous starting points, and possesses strong communication skills to effectively interface and collaborate with product, finance, and business teams.

A day in the life

Our team takes big swings and works on hard cross organizational problems where the optimal success rate is not 100%. We also ask people to grow their skills and stretch and make sure we do it in a supportive and fun environment. It's about empirically measured impact, advancement, and fun on our team. We work hard during work hours but we also don't encourage working at nights or on weekends except in very rare, high stakes cases. Burn out isn't a successful long run strategy. Because we invest in the long run success of our group it's important to have hobbies, relax and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual and thus career advancement.

About the team

Our group is technically rigorous and encourages ongoing academic conference participation and publication. Our leaders are here for you and to enable you to be successful. We believe in being servant leaders focused on influence: good data work has little value if it doesn't translate into actionable insights that are rolled out and impact the real economy. We are communication centric since being able to explain what we do ensures high success rates and lowers administrative churn. Also: we laugh a lot. If it's not fun, what's the point?

BASIC QUALIFICATIONS

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 3+ years of building models for business application experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

• Experience using Unix/Linux
• Experience in professional software development

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