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DATA ENGINEER

Roles & Responsibilities

  • Experience as a Data Scientist in marketing.
  • Strong knowledge of Data Science, Statistics, and Machine Learning.
  • Proficiency in Python, SQL, and data visualization tools.
  • Ability to mentor and guide less experienced team members.

Requirements:

  • Cleansing and transforming data using Hadoop/Spark/MySQL.
  • Developing and deploying machine learning models for various marketing applications.
  • Delivering end-to-end data science projects and presenting findings.
  • Collaborating with team members and communicating results effectively.

Job description

Mandate:

 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

Apply Now

Skills: ML
Job Type: Full Time
Job Location: remote

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