Data Scientist, Devices, Devices Sales & Marketing

Description

The candidate in this role will own delivery of science products and solutions to help Amazon Devices Sales and Marketing org. make better decisions: product recommendations to customers, segmentation, financial incrementality of marketing initiatives, A/B testing, etc.

The Amazon Devices organization designs, produces and markets Echo Speakers, Kindle e‑readers, Fire Tablets, Fire TV Streaming Media Players, Ring and Blink Smart Home & Security products. We are constantly looking to innovate on behalf of customers with new devices in existing or new categories or improving customer experience on existing platforms. The Devices Data Services (DDS) team provides Data Science, Analytics and Engineering support to the broader organization to enable Sales and Marketing activities across all these product lines.

We are looking for an innovative, hands‑on and customer‑obsessed Data Scientist who can be a strategic partner to product managers and engineers on the team. Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, and building predictive machine learning models. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, is motivated to build something that will eventually become a production software system, and possesses strong communication skills to effectively interface between technical and business teams.

In this role, you will be a technical expert with massive impact. You will take the lead on developing advanced ML systems that are key to reaching our customers with the right recommendations at the right time. Your work will directly impact the success of Amazon's growing Devices business. You will work across diverse science, engineering, and business teams. You will work on critical data science problems, building high‑quality, reliable, accurate, and consistent code sets that are aligned with our business needs.

• Implement statistical or machine learning methods to solve specific business problems.
• Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine‑tuning model parameters.
• Directly contribute to development of modern automated recommendation systems.
• Build customer‑facing reporting tools to provide insights and metrics to track model performance and explain variance.
• Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedback.

You will work with other scientists, engineers, product managers, and marketers to develop new products that benefit our customers and help us reach our business goals. You will own solutions from end to end: conceptualization, prioritization, development, delivery, and productionalization.

We are a full‑stack science team that empowers product, marketing, and other business leaders to better understand customers who use Amazon devices, make decisions on product development or optimization, and measure the effectiveness of their efforts against our customers' expectation. Our focus area is to build analytical frameworks that help the organization either access data, better understand the decisions customers are making and why, or assess customer satisfaction.

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, MATLAB, etc.) experience.
• 2+ years of data scientist experience.
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
• Bachelor's degree.
• Experience applying theoretical models in an applied environment.

• Experience in Python, Perl, or another scripting language.
• Experience in a ML or data scientist role with a large technology company.

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

Our…