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Data Scientist, NLP

3.00 to 8.00 Years   Bangalore   03 May, 2021
Fractal Analytics
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryKPO / Analytics
Functional AreaSales / BD,Bio Tech / R&D / Scientist
EmploymentTypeFull-time

Job Description

About Fractal :Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal s mission is to power every human decision in the enterprise and uses the power of AI to help the world s most admired Fortune 500 companies. Fractal s products include Qure.ai to assist radiologists make better diagnostic decisions, Cuddle.ai to assists CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions and Eugenie.ai to find anomalies in high velocity data. Fractal has consistently been rated as India s best companies to work for, by The Great Place to Work Institute. Fractal has been featured as a leader in the Customer Analytics Service Providers Wave 2019 by Forrester Research, and recognized as an Honorable Vendor in 2019 magic quadrant for data & analytics by GartnerRole Brief:As a NLP Data Scientist in the Consumer analytics team, you will be building solutions that require analyzing and transforming natural language data into useful features using NLP techniques. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques.Responsibilities:

  • Build Solutions that identify intent and other features from user comments, chat transcript and other unstructured text data.
  • Design NLP applications
  • Identify appropriate annotated datasets for Supervised Learning methods
  • Use effective text representations to transform natural language into useful features
  • Find and implement the right algorithms and tools for NLP tasks
  • Train the developed model and run evaluation experiments
  • Perform statistical analysis of results and refine models
  • Basic logical pseudo code writing
You will need to have:
  • Experience of design, building and deployment of ML/NLP Solutions
  • Proficient in Python
  • Experience in NLP tools like Gensim, spacy, Stanford NLP
  • Hands on with Deep learning frameworks like Keras, Pytorch, Tensorflow
  • Experience automating data within Tableau/Qlik/ggplot/Shiny to tell a story through interactive visualizations
,

Keyskills :
sqlpythondata analysisanalyticsstatistical analysisdeep learningservice providerscustomer analyticsnatural languagefortune 500investment decisionsmachine learning

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