Telecom Analytics

Location: Delhi
Job type: Permanent
Contact name: Nikita Sharma

Contact email: nikita.sharma@crescendogroup.in
Job ref: 34633
Published: 4 months ago
Startdate: 03/06/2021

Data Science Expert – Telecom Analytics (12-16 years)

Hiring for a IT consulting firm where they have strong Analytics Centre of excellence team. We need a functional expert into Telecom industry and an exceptional good data scientist. Holding Statistical background into Machine Learning using R/Python/SQL/SAS. Supervised and unsupervised machine learning techniques; churn analysis and customer analytics  

LOCATION: - Bangalore

Pedigree: Tier1/2 – Computer Science

YOUR FUTURE EMPLOYER:

A leading global provider of creative and strategic analytics, IT and consulting solutions for the entire enterprise value chain

YOU WILL BE RESPONSIBLE FOR:

  • Managing and Leading client implementations of company’s Telecom Analytics accounts.
  • Model Building using supervised and unsupervised algorithms within Telecom domain
  • Applying data science on the problem statements and bring out the insights.
  • Extensive coding in Python/R
  • Supporting on sales & marketing for products including participating on sales calls as technical expert.
  • Designing and developing new ML, analytical or AI algorithms to support new feature development in the AI platform.
  • Contributing to the long term roadmap of products as well as short term prioritization for the larger team.
  • Leading a team to execute the part the roadmap allocated to the candidate.

THE SUCCESSFUL CANDIDATE:

  • 12-16 years of experience in analytics or data science space with exposure to technology.
  • Deep exposure to AWS/ cloud architecture.
  • Built models using logistics regression, linear regression, SVM, random forest, bagging and boosting, NL, neural networks, text analytics, NLP
  • Expertise in big data technologies like spark, pyspark, sparkR etc. and natural language processing
  • Strong exposure to client management, product development, proposal creation etc.
  • Exposure in implementing data science solutions in production environments,
  • 8 to 15 years of experience in analytics or data science space with exposure to technology. 
  • Engineering, mathematical or statistical background
  • Expert in ML algorithms
  • Extensively worked on Python and SQL
  • Deep exposure to AWS/ cloud architecture. 
  • Expertise in big data technologies like spark, pyspark, sparkR etc. and natural language processing 
  • Strong exposure to client management, product development, proposal creation etc. 
  • Exposure in implementing data science solutions in production environments

WHAT IS IN FOR YOU: -

•    An opportunity to define, lead and co-ordinate the technical functions of the company.

•    Liaise extensively with stakeholders.

•    A meritocratic culture with great career progression.

REACH US:- If you think this role will add value to your career, kindly write me an email along with your updated CV on nikita.sharma@crescendogroup.in or connect on 7087413515 for a confidential discussion on the role.