Lead Data Scientist

Job Description

*Total Experience- *7 to 9 years overall experience

Education qualification- B.E/B. Tech and Post Graduate Certificate in AI/ML preferred

Location- Tunis, Tunisia

Skills

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

Mandate:

• Data mining. Marketing analytics .
• Past working experience as a Data Scientist in marketing Subject Area
• Experience in cleansing and transforming data on Hadoop/Spark/MySQL, SQL based databases.
• Strong knowledge of Data Science and Statistics
• 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.