Research Scientist, Customer Behaviour Analytics
Amazon
Bangalore, IN
5d ago

Job summary

Amazon.com is seeking a Research Scientist within its Global Customer Behavior Analytics (CBA) Org. Amazon’s CBA Org is focused on maximizing the value of Amazon’s customer base for all Amazon properties worldwide.

The team is highly results oriented, and is focused on leveraging in-house technology in order to automate and scale marketing programs that drive new customers and maximize lifetime value of Amazon customers through measurable marketing programs and channels.

We are looking for Research Scientist to join our efforts to build the next generation of analytics systems measuring marketing ROI using machine learning and econometrics at big data scale at Amazon.

You will work with distributed machine learning and statistical algorithms across multiple platforms to harness enormous volumes of online data at scale to match customers and products / offers based on probabilistic reasoning.

The Research Scientist will be a technical player in a team working to develop ultra-scale platforms for machine learning, and help develop new, revolutionary approaches that optimizes Amazon systems using cutting edge quantitative techniques.

You need to be fluid in :

  • Data warehousing and EMR (Hive, Pig, R, Python).
  • Feature extraction, feature engineering and feature selection.
  • Machine learning, causal modeling, statistical algorithms and recommenders.
  • Model evaluation, validation and deployment.
  • Experimental design and testing.
  • About the team

    Customer Forecasting and Valuation (CFV) team owns all the long-term financial impact metrics for Amazon WW that are generated by applying AI and Machine Learning techniques to big data at Amazon scale.

    Our mission is to create the best measure of customer long-term value for driving optimal decisions across Amazon.

    Our team works at the intersection of Engineering, Data Science, and Statistics with a diverse and unique mix of talent (SDEs, DEs, Economists, Applied Scientists, Research Scientists, Product Managers) collaborating each day to invent and implement cutting edge research solutions for Amazon’s benefit.

    Our work is the secret sauce for how human and automated decision making at Amazon incorporates trade-offs between short-term and long-term financial benefits.

    BASIC QUALIFICATIONS

  • Bachelors / Masters in Machine learning, Information science, Engineering, Statistics, Computer science or a highly quantitative field
  • Bachelors with 5+ years of equivalent experience will be considered
  • Proven ability to relate to and solve business problems through machine learning and statistics
  • 3+ years of hands-on experience developing and implementing machine learning algorithms and / or statistical models.
  • Programming, prototyping and scripting skills (Oracle, SQL, Hive, Pig, SAS, R, Weka, Python)
  • Writing, communication and presentation skills
  • PREFERRED QUALIFICATIONS

  • PhD / Masters in Machine learning, Information science, Engineering, Statistics, Computer science or a highly quantitative field
  • A strong track record of innovating through machine learning and statistical algorithms and their applications.
  • Strong demonstrated skills implementing and deploying large scale machine learning applications and tools.
  • Strong skills and experience with programming in SQL, Hive, Pig, R, SAS macros and familiarity / experience with AWS
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