Data Scientist II, PV APAC and ANZ Analytics Team

Amazon Science gives you insight into the companys approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. Its the companys ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish teach and engage with the academic community in addition to utilizing our working backwards method to enrich the way we live and work.

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About Amazon Prime Video
Many of the problems we face have no textbook solution and so we-happily-invent new ones. Jeff Bezos
The Amazon Prime Video team is shaping the future of digital video entertainment. We are seeking a Data Scientist to uncover key insights on how consumers watch videos on Amazon. The ideal candidate will be an expert in the areas of data science machine learning and statistics having hands-on experience with multiple improvement initiatives as well as balancing technical and business judgment to make the right decisions about technology models and methodologies.

As consumers increasingly consume digital video we need to make agile decisions based on what content appeals to our customers. As a Data Scientist at Amazon Prime Video APAC and ANZ analytics team you will have the opportunity to work on one of the worlds largest consumer data sets influence the long term evolution of our analytics capability and support the expansion of Amazons digital video business. The Data Scientist will work closely with other research scientists machine-learning experts and economists to design and run experiments research new algorithms and find new ways to improve optimization across all our associate facing tools.
A successful candidate will be able to understand and manage key operational and technical concepts. They will have excellent project and communication skills and motivation to achieve results in a fast-paced environment. Candidates should demonstrate a passion for working on behalf of customers have a record of accomplishment of timely delivery of large-scale projects and have the ability to influence multiple global teams. Autonomy judgment influence and leadership skills are essential. This person will be responsible for ensuring we meet our key deliverables on time with high quality and communicating status to internal and external stakeholders.

Key Responsibilities
- Support the Content team on business reporting ad hoc analysis statistical inference and predictive modelling for all Prime Video APAC and ANZ.
- Mine and analyze data pertaining to customers viewing experiences to identify critical business insight and make recommendations to optimize content selection.
- Proactively develop new ML models using streaming video audio and textual data to understand and predict customer streaming behaviour
- Translate analytic insights into concrete actionable recommendations for business or product improvement. Develop and present these as papers to senior stakeholders.
- Liaise with your peers in other prime video territories to develop solutions that greatly benefit our global customers
- This role will be based in Mumbai India

- 2 years of data scientist experience
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- 1 years of guiding and coaching a group of researchers experience
- 1 years of working with or evaluating AI systems experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- Experience applying theoretical models in an applied environment

- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication