Data Scientist - Amazon Advertising - Amazon : Job Details

Join Amazon Advertising, one of our fastest growing and most profitable businesses, as a Data Scientist. Be a part of a dynamic team responsible for delivering innovative advertising products that drive discovery and sales. Our solutions are essential for supporting Amazon's Retail and Marketplace businesses in achieving long-term growth.

As a Data Scientist on this team, you will:

• Lead data science solutions from inception to execution.
• Tackle large-scale, complex problems with a high degree of independence.
• Utilize coding skills in Python, R, Scala, SQL, etc., to retrieve, manipulate, and analyze data.
• Design and implement Machine Learning and statistical models to address specific business challenges.
• Analyze historical data to identify trends and provide data-driven recommendations.
• Define statistical parameters for outlier detection and develop methods to identify and analyze anomalies systematically.
• Build decision-making models and propose solutions that enhance business performance.
• Communicate insights effectively to both technical and non-technical audiences.

Why consider this opportunity?

• Become a key contributor to Amazon's world-class advertising operations and help drive billions in revenue.
• Work collaboratively in a motivated team that values innovation and experimentation.
• Define a long-term vision for our data science efforts while translating customer needs into actionable research and plans.

Basic Requirements:

• 3+ years of experience with data querying languages (e.g., SQL) and scripting languages (e.g., Python).
• 2+ years in a data scientist role with experience in machine learning and statistical modeling.
• Bachelor's degree in a related field.

Preferred Qualifications:

• Previous experience in a machine learning or data scientist position at a large technology company.

We offer competitive compensation based on relevant experience, including salary and potential bonuses. Join a diverse and inclusive team where your contributions will make a significant impact!

Location: Specific work address will be provided upon application.