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Telecom Jobs

Lead Data Scientist - Telecom

2.00 to 4.00 Years   Gurugram   26 Jul, 2022
Michael Page
Job LocationGurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryRecruitment Services
Functional AreaSales / BD
EmploymentTypeFull-time

Job Description

    Lead Data Scientist - Telecom (Tier 1 - IIT/NIT/IIIT/BITs)Industry - Telecom / ISPCategory - IT & SystemsJob Type - Permanent - Looking for Lead Data Scientist for Data engineering team building next generation systems to improve the quality of life for millions of users spanned across 14+ countries.Client Details :Leading telecom organisation building next generation systems to improve the quality of life for millions of users spanned across 14+ countries. They are on a mission to change the world by connecting people with ideas.Description :Skills & Tools: 1. Statistics & data mining2. Regression, Clustering, Classification & Recommendation engine3. Unstructured data - pictures, fingerprints, video,4. Deep neural networks5. NLP6. Big data stack - Hadoop/Spark7. Well versed with R, Python and preferably Scala8. Preferably exposure to BI tools like TableauProfile:You should have: - PhD/Masters/Bachelor from premier institutes with expertise in applied statistics, data mining & machine learning- Demonstrated experience of 8-12 years in data science, machine learning & analytics- Leadership experience of 2-4 years- Self-motivated to understand business problem and build solutions for them.- Preferred to have experience in Telecom domain- Good communication skills.Job Offer:- Building Big data platform, products & team from scratch- True big data problem - Billion of data records per day, Peta-byte storage & Fast response time.- True scalable products - Products will be deployed in countries with subscriber base ranging from 100k subscribers to 200M subscribers- Best in class technology stack & always evolving.- Start-up culture with resources & scale of multi-billion $ company- Unparalleled responsibility and career opportunity to make a highly visible global impact,

Keyskills :
analyticsbankingbusiness intelligenceclusteringcustomer relationsbig datadata miningdata scienceteam buildingmachine learningdata engineering

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