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Bigshyft Hiring for Payu | Jobs | Data Scientist – Fraud Prevention & Analytics | BigDataKB.com | 08-02-22

Job Location: Mumbai

What You’ll do:

  • Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data.
  • Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.
  • Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as geo-location or social media.
  • Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis.
  • Extending company’s data with third party sources of information when needed
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented

What makes you a great fit:

  • 2+ years of work experience as a Data scientist preferably in a fintech environment
  • 1+ years of work experience in fraud modelling
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
  • Proficient in machine learning (SVM, GLM, boosting, random forest) and deep neural networks
  • Strong programming skills (Spark or other big data frameworks, R, Python), statistical modeling (R, Python, SAS), query languages such as SQL
  • Familiarity with basic principles of distributed computing and distributed databases.
  • Experience in working with big data preferably in PySpark

Apply Here

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