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Data Scientist


Roles and Responsibilities

  • Creating Insights and foresight based on given datasets, like Trend Analysis, Focus Areas, etc.
  • Modeling data and creating models for forecasting techniques
  • Technology skills of Python, R, Hadoop ecosystem, Spark, MongoDB or any No-SQL
  • Analyze and create visualizations like Graphs, Plots, etc. based on data using D3.JS or any other visualization tools
  • Predict the outcome of data by creating different Machine Learning Algorithms, using techniques like Linear and Logistic Regression, Decision Trees, etc.
  • Creating data models and applying various validation measures to check the models before going to production and re-verifying the models over time
  • Generating pre-learn models from existing data which also provides self-update of models
  • Experience in creating algorithms and models like Churn Propensity, Cross Sell, Time Series type models, etc.
  • Hands on experience in Analytics — deriving key business insights from data and in creating algorithms, implementing a solution based on the analysis.
  • Building ML/predictive framework to draw insights at scale for different aspects.
  • Prior practical experience in techniques like SVM, Predictive modeling, Self-learning systems
  • Good business and communication skills with an ability to validate and scientifically prove hypotheses for a given business problem
  • Prior experience in a product organization building data products is a plus

Desired Profile

  • Expertise in working with data platforms including large-scale data: SQL, Hadoop, PL/SQL, Pig, Hive
  • Technical expertise in working with languages: R, Perl, Python, Java, Scala.
  • Strong verbal and written communication