Job title: Data Scientist II
Company: Amazon
Job description: Job Description : Job summary At Japan Consumer Payments Data Science we focus on building analytical solutions and models that will address increasingly complex of the payment products and methods. Amazon fundamentally believes that scientific innov
Job Description : Job summary At Japan Consumer Payments Data Science we focus on building analytical solutions and models that will address increasingly complex of the payment products and methods. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s 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. In this role, you will apply advanced analysis technique and statistical concepts to draw insights from massive datasets, create intuitive data visualizations, and build scalable machine learning models. You are a pragmatic generalist. You can contribute to each layers of a data solution – you work closely with business intelligence engineers and product managers to obtain relevant datasets and prototype predictive analytic models, you team up with data engineers and software development engineers to implement data pipeline to productionize your models, and review key results with business leaders and stakeholders. Your work exhibits a balance between scientific validity and business practicality. To be successful in this role, you must be able to turn ambiguous business questions into clearly defined problems, develop quantifiable metrics and robust machine learning models from imperfect data sources, and deliver results that meet high standards of data quality, security, and privacy. Key job responsibilities 1. Define and conduct experiments to improve Japan Consumer Payment experience, and communicate insights and recommendations to product, engineering, and business teams 2. Interview stakeholders to gather business requirements and translate them into concrete requirement for data science projects 3. Build models that forecast growth and incorporate inputs from product, engineering, finance and marketing partners 4. Define metrics and design algorithms to estimate customer satisfaction and engagement in real-time 5. Apply data science techniques to automatically identify trends, patterns, and frictions of customer interaction and retention 6. Work with data engineers and software development engineers to deploy models and experiments to production 7. Identify and recommend opportunities to automate systems, tools, and processes Basic Qualifications : o Bachelor’s degree in any quantitative discipline such as Statistics, Mathematics, Quantitative Finance or Operational Research o 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) o 3+ years of experience working in Analytics / Business Intelligence environment o 3+ years of writing SQL queries in a high volume database environment o Demonstrated use of analytical packages and query languages in Python o Demonstrate understanding and experience with relational data sets, data warehouses, data mining and data analysis techniques Preferred Qualifications : o Experience/knowledge of advanced machine learning techniques such as GBM, random forest, etc o Experience in statistical techniques such as classification, clustering, regression, statistical inference etc o Experience with visualization technologies such as Tableau o Experience in e-commerce / on-line companies in fraud / risk control functions o Exposure to software development process o Analytical mindset and ability to see the big picture and influence others o Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem o Ability to apply analytical, computer, statistical and quantitative skills to problem solving o Ability to work effectively in a multi-task, high volume environment o Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations o Meets/exceeds Amazon’s leadership principles requirements for this role o Meets/exceeds Amazon’s functional/technical depth and complexity for this role
Expected salary:
Location: Bangalore, Karnataka
Job date: Mon, 31 Jan 2022 23:02:02 GMT
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