• Data Scientist, Risk Mining

    Location IN-TS-Hyderabad
    Posted Date 3 months ago(17-04-2018 13:42)
    Job ID
    Amazon Dev Center India - Hyderabad
  • Job Description

    Amazon.com’s Transaction Risk Management Services (TRMS) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. TRMS safeguards every financial transaction across all Amazon sites. As such, TRMS designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The TRMS organization is looking for a Data Scientist for its Risk Mining team. The team is transforming to provide insights about operations and provide analytical solutions to help drive risk pattern recognition, uncover MOs and trends, reduce bad debt, and improve customer experience.

    As a Data Scientist, TRMS Risk Mining, you will be responsible for modeling complex problems, discovering insights, and building cutting edge risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques.

    You will need to collaborate effectively with business and product leaders within TRMS and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner.

    The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.

    • Use predictive analytics and data mining to solve complex problems and drive business decisions.
    • Employ the appropriate algorithms to discover patterns of risks, abuse, and help reduce bad debt
    • Design experiments, test hypotheses, and build actionable models to optimize TRMS business processes
    • Solve analytical problems, and effectively communicate methodologies and results
    • Draw relevant inferences and insights from data including, identification of trends and anomalies
    • Work closely with internal stakeholders such as business teams, product managers, engineering teams, and partner teams and align them with respect to your focus area

    Basic Qualifications

    • Masters in quantitative discipline, e.g. Mathematics, Statistics, Economics, Artificial Intelligence;
    • 3+ years of hands on experience with statistical software tools: SAS, SPSS, Strata, R, Python or Matlab
    • 3+ years’ experience in business analytics, forecasting or business planning with emphasis on analytical modeling, quantitative reasoning and metrics reporting preferably from an internet environment
    • 3+ years of writing strong SQL queries in a high volume database environment
    • Experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and natural language processing, experimental design, social networking analysis, feature engineering etc.
    • Demonstrate understanding and experience with relational data sets, data warehouses, data mining and data analysis techniques.
    • Compelling communication and influencing skills and participation in winning the support of management and influence the course of major strategic decisions

    Preferred Qualifications

    • Experience in e-commerce / on-line companies in fraud / risk control functions
    • Experience with visualization technologies such as Tableau
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