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Data Analyst

2 - 7 years

10 - 12 Lacs

Gurugram Bengaluru

Posted:1 day ago| Platform: Naukri logo

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Skills Required

Data analysis Linux Machine learning Telecommunication Perl Data mining Business intelligence Monitoring Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

  • Applied data science research to fight spam, scam and fraud attacks in SMS, MMS, e-mail and other mobile telecommunication protocols
  • Helping mobile network operators worldwide in localization, identification, monetization and prevention of spam and fraud attacks
  • Big Data analysis of Voice/SMS/MMS traffic (>100 million messages per day)
  • Data cleaning and preprocessing (data wrangling), exploratory analysis, statistical analysis
  • Machine learning, data mining, text mining in different languages
  • Data visualization and presentation
  • Uncovering activities of organized groups of spammers and fraudsters
  • Researching new fraud techniques and designing algorithms for their detection and prevention
  • Monitoring and preventing virus and malware distribution vectors in SMS/MMS
  • Presenting results to customers, leading discussions about findings and best approaches to manage the fraud attacks .
Key Responsibilities
What will you work with
Statistical tools - R-studio, python
Mavenir s solution for identification of fraud and spam in mobile networks
Unique data sets (Voice/SMS/MMS/RCS communication from all around the world) State of the art fraud detection algorithms Core mobile network systems and technologies Linux OS
Big data tools - Spark, ElasticSearch/OpenSearch, Kafka Data science and machine learning tooling - NumPy, SciPy, MLlib
 
Job Requirements
  • What we expect you already know/have
  • Practical experience with statistical analysis or Business Intelligence
  • Scripting languages (for example R, bash, python, perl, lua or similar)
  • Data visualization and reporting
  • Critical thinking and strong problem-solving skills
  • Curiosity and willingness to learn new things
  • Working proficiency in English
  • We appreciate you already know/have - Machine learning and Linux

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