Job description
We are looking for Telecom Marketing Data Science professional, who will help design and implement advanced analytics predictive models using cutting edge technologies like Machine Learning and Deep Learning

Skills

Mandate:

Past working experience as a lead Data Scientist in marketing Subject Area
Experience in cleansing and transforming data on Hadoop/Spark/MySQL, SQL based databases.
Telecom CVM data science and analytics experience
Strong knowledge of Data Science and Statistics and data mining
Customer AI/Data science requirements handling experience
More than 8 plus years experience needed
Strong Experience in Machine Learning, Natural Language Processing, Text mining, NLTK, NLP, time series forecasting, Deep Learning and Computer vision
Hands on experience in ML/NLP/DL/NN
Strong working knowledge on Python, Spark ML, Pandas, Numpy, matplotlib, seaborn, sklearn, Grid Search Hyper parameter tuning, RandomForest, Decission trees, XGBoost, Ensemble methods, Bagging and Boosting methods ,Keras/ Tensorflow
Should have developed models on sentiment scoring, Churn, Recharge, Next best offer /Action, Customer Life time Value, RFM, Universal Control Groups, Geofencing Analytics, Product Cannibalisation Modelling.
Experience in delivering end to end data science project
Experience on SQL required
Experience on visualisation tools like QlikSense/D3 js
Excellent problem solving and analytical skills combined with a strong business and technical acumen
Understanding of Telco Domain with Model creation and deployment experience in Marketing Management subject area.
Ability to guide and mentor less experienced human resources
Collaborative team player
Excellent verbal and written communication and Presentation skills
Preferred

Should be certified on Data Science and Machine Learning certifications from Industry recognised bodies.
Roles and Responsibilities

Developing new Machine Learning models in Telecom Analytics
Creating predictive models using AI/ML/NN
Evaluate different algorithmic approaches to solve various machine learning and prediction use cases
Develop visualization solution on top of Data Science Results
Implement data pipeline process for data scientists to consume data in secure fashion
Deploy the analytics and predictive models in production environment
Monitor deployed models , maintain accuracy
Provide analytics based insights to help marketing team optimize marketing spends
Front ending with Customers on data science requirements and status reporting
Implement Customer projects and Internal Product Roadmap projects on Data Science.
Role: Data Scientist
Industry Type: Telecom / ISP
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: B.Tech/B.E. in Any Specialization, Any Graduate
PG: Any Postgraduate
Key Skills
Text miningTelecomdata scienceMySQLMachine learningData miningForecastingAnalyticsSQLPython