Job Information
Amazon Data Scientist in Singapore, Singapore
Description
Do you want to contribute to a team working on cutting edge technology, solve new problems that didn’t exist before, and have the ability to see the impact of your successes?
Amazon is shaping the future of digital video entertainment. We seek experienced data scientists who can apply the latest research, state-of-the-art algorithms and machine learning to solve core problems in the video streaming space for Amazon. This is an exciting opportunity for candidates with a deep understanding of large data sets and structures, customer behavior and signals, machine learning algorithms and production pipelines. If you are passionate about solving complex problems in a challenging environment, we would love to talk with you.
We are looking for a seasoned data scientist who can help us scale our video streaming and advertising business. He/She will develop and build machine learning models using large data-sets to improve our customer and advertiser experience, and will work closely with technology teams in deploying the models to production. He/She will work in a highly collaborative environment with some of the best engineers, marketers and product managers, and be part of a rapidly growing initiative which is going to become a huge area of growth for Amazon's Advertising business and pioneer the usage of new technology at Amazon scale.
Key job responsibilities
Engage in advanced data analysis to uncover trends and correlations. Utilize statistical methods and tools to drive insightful recommendations for business strategies and process improvements.
Use the data insights to design, develop and build scalable and advanced machine learning models, algorithms and implement them in production through robust systems and architectures
Work closely with stakeholders across various departments including product, business analytics, marketing, operations and tech teams and influence business strategy
Be abreast of the advanced research and techniques in the deep-learning and artificial intelligence space, and conduct experiments to give the best output
Identify, develop, manage, and execute data analyses to uncover areas of opportunity and present business recommendations to drive cost benefit analysis and go/no-go decisions on various initiatives
Develop a roadmap and metrics to measure progress of the initiative they own
Lead initiatives for full-scale automation in collaboration with data engineering teams, enhancing data accuracy and operational efficiency
We are open to hiring candidates to work out of one of the following locations:
Singapore, SGP
Basic Qualifications
Bachelor’s degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field
6+ years of relevant experience in machine learning, algorithm development, big data platforms and technology
A very strong grounding in applied statistical modeling and a very strong grasp of statistical concepts. Must be comfortable in the world of numbers, models, and algorithms
A strong level of proficiency in advanced analytics tools (e.g. SQL, R, Python, Spark) to extract, analyze and derive insights out of large and ambiguous datasets
Understanding of how to apply predictive and machine learning techniques like logistic regression, random forest, Gradient Boosting Machines (GBM), Neural Networks etc. is required
Strong problem-solving ability, and willingness to dive deep and work on difficult and ambiguous problems with unknown outcomes.
Ability to partner and work efficiently with partner teams and stakeholders is critical.
At least 3+ years of experience working in a fast-paced, consumer facing tech business
Be abreast of the latest trends and technologies in the internet tech industry
Preferred Qualifications
Advanced degree such as Masters or PhD in a statistical, quantitative or technical field
Past experience of deploying machine learning models to production to improve customer experience and aid business growth
A strong level of proficiency in data engineering and ML orchestration services, such as S3, dynamoDB, AWS Sagemaker, AWS Step Functions, AWS Batch
Past experience of building cutting-edge and large-scale AI models and applications
Experience with A/B testing and experimentation
Experience working in an OTT or video streaming/player business on personalization and recommendation systems