Amazon Applied Science Manager Traffic Quality ML 

India, Karnataka, Bengaluru 

649724620

Amazon is looking for an Applied Scientist with a machine learning background to help build industry-leading Speech and Language technology.
Key job responsibilities
Major responsibilities
• Deliver key goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic
• Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering
• Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
• Hire and develop top talent in machine learning and data science and accelerate the pace of innovation in the group
• Build a culture of innovation and long-term thinking, and showcase this via peer-reviewed publications and whitepapers
• Work with your engineering team and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production
• Keep updated on the industry landscape in Traffic Quality and identify algorithm investments to achieve an industry leading traffic quality solution.
• Learn continuously about new developments in machine learning and AI, as well as recent innovations in creative intelligence and malware detection. Identify how these can be rolled into building an industry leading solution for Amazon advertising

- A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field
- 5+ years of hands-on experience in big data, machine learning and predictive modeling
- 3+ year people management and cross department functional experience
- Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building
- Strongly motivated by entrepreneurial projects and experienced in collaboratively working with a diverse team of engineers, analysts, and business management in achieving superior bottom line results
- Strong communication and data presentation skills
- Strong ability in problem solving and driving for results

- Technical leader with 10+ years of exceptional, hands-on experience in machine learning in e-commerce, fraud/risk assessment, or an enterprise software company building and providing analytics or risk management services and software.
- Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field.
- Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc.
- Strong publication record in international conferences on machine learning and artificial intelligence