Data Science Engineering Manager for Traffic Quality at Amazon Ads

6 days ago


Bengaluru, Karnataka, India myGwork Full time
About the Role

We are seeking an experienced Data Science Engineering Manager to lead our Traffic Quality team in Amazon Ads. As a key member of our Ad Optimization group, you will be responsible for designing, developing, and deploying real-time and offline algorithms to identify non-human and invalid traffic within programmatic ad sources.

Key Responsibilities
  • Provide technical expertise and leadership throughout product life cycles, influencing software engineers' best practices for your team and owning operational metrics.
  • Work with business leaders and product managers to define product requirements.
  • Prioritize, communicate, maintain, and execute roadmaps, project plans, and commitments.
  • Work with engineers to define technical requirements and architect and execute best-in-class implementations in an agile manner.
  • Build and maintain world-class customer experience and operational excellence for your deliverables.
  • Hire, manage, mentor, and grow a high-performance team of Software Engineers.
BASIC QUALIFICATIONS:
  • 7+ years of engineering experience.
  • 3+ years of engineering team management experience.
  • 8+ years of leading the definition and development of multi-tier web services experience.
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations.
  • Experience partnering with product or program management teams.
  • Experience designing or architecting (design patterns, reliability, and scaling) of new and existing systems.
Salary

The estimated salary for this role is $250,000 - $300,000 per year, depending on location and experience.

This estimate is based on industry standards and market research. The actual salary may vary based on various factors, including performance, location, and experience.



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