Data Scientist 2

Data Scientist 2

Epsilon India

Job Description

  • Analyze large datasets, perform data wrangling operations, apply statistical treatments to filter and fine tune input data, engineer new features and eventually aid the process of building machine learning models.
  • Collaborate with client teams to on-board data, build machine learning models and score predictions.
  • Participate in building automations and standalone applications around machine learning algorithms to enable a “One Click” solution towards getting predictions and recommendations.
  • Run test cases to tune existing models for performance, define criteria and thresholds for success by scaling the input data to multifold.
  • Contribute and build an internal product library that is focused on solving business problems related to prediction & recommendation.
  • Research unfamiliar methodologies, techniques to fine tune existing models in the product suite and, recommend better solutions and/or technologies.
  • Improve features of the product to include newer machine learning algorithms in the space of product recommendation, real time predictions, fraud detection and offer personalization.


Minimum Qualifications:

  • Bachelor’s degree in Computer Science / Statistics / Mathematics or significant relevant coursework
  • Demonstrated proficiency in PYTHON (minimum 2 years of experience)
  • Experience working with BIG DATA technologies and the proven ability to program in big data/cloud technologies such as AWS & SPARK
  • Experience with traditional machine learning algorithms such as regressions, kNN, decision trees, random forest, XGBoost, SVM and neural networks.
  • Understanding of deep neural networks, RNNs and LSTMs with exposure to a deep learning framework like Tensorflow or Keras

Desirable Qualifications: 

  • Advanced degree (Master’s/PhD) in Statistics, Economics or other quantitative discipline
  • A Deep understanding of Recommender Systems and applications around real-time predictions
  • Knowledge and understanding of AWS Sagemaker
  • Working experience in CI/CD tools such as GIT & BitBucket

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