
Role Summary :
What will you do:
- 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:
- Hands-on Experience of 2-4 Years in 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
- Must have hands on expreience in Linux/Unix OS(Mandatory)
- Big data tools - Spark, ElasticSearch/OpenSearch, Kafka
- Data science and machine learning tooling - NumPy, SciPy, MLlib
Job Requirements:
What we expect you already 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 /have - Machine learning and Linux
- This position is based out from Gurugram location
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