Data Scientist, Fire TV Analytics & ML

Amazon; Sunnyvale (CA); On-site; USD 157,000 - 213,000; Full time

Job summary

Amazon in Sunnyvale, CA is seeking a Data Scientist to surface customer insights and drive improvements across Fire TV, Advertising and Appstore. You will design and validate machine learning models, conduct analyses, and partner with product, data engineering and BI teams to turn questions into rigorous analyses.

The role requires 3+ years of data science experience, proficiency in SQL and Python, and a track record of applying ML methods to real-world problems.

Qualifications

• 3+ years of data querying languages (SQL) or scripting languages (Python) experience.
• 3+ years of machine learning/statistical modeling and data analysis experience.
• Experience applying theoretical models in an applied environment.
• 2+ years of data scientist experience.
• Bachelor's degree.

Responsibilities

• Design, develop, validate, and maintain ML models and analyses for Fire TV pillars.
• Own data science workstreams and deliver analyses from problem definition through handoff.
• Build customer segmentation and clustering frameworks for personalized strategies.
• Contribute to A/B experiments, power analyses, and success metrics.
• Partner with BI Engineers, Data Engineers, Product, Finance, and Marketing.
• Identify measurement gaps and advocate for better instrumentation.
• Communicate findings clearly to technical and non-technical audiences.
• Contribute to DS best practices and mentor junior data scientists.

Skills

SQL

Python

R/Matlab

ML modeling

Experiment design

Data analysis

Communication

Education

Bachelor's degree

PhD (preferred)

Tools

SAS

Matlab

Job description

Amazon in Sunnyvale, CA is seeking a Data Scientist to surface customer insights and drive improvements across Fire TV, Advertising and Appstore. You will design and validate machine learning models, conduct analyses, and partner with product, data engineering and BI teams to turn questions into rigorous analyses.

The role requires 3+ years of data science experience, proficiency in SQL and Python, and a track record of applying ML methods to real-world problems.