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Data Scientist @ Covalense Global

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 Data Scientist

Job Description

 Job Type: Full time Experience: 3+ years Job description: 
  • Experience of at least 3 yearsindeveloping modelsusingPython/PySpark libraries. Experience withDatabricksorDataiku DSS (Data Science Studio)would be an added advantage.
  • Strong experiencewithScala/Python/JavaandSparkis required.
  • Strong proficiencyindeveloping,training, andevaluatingstate-of-the-art machine learning models anddeployingthem is required.
  • Proficiencyinstatistical and probabilistic methodssuch asSVM,Decision-Trees,Bagging and Boosting Techniques, andClusteringis needed.
  • Proficiencyincore NLP techniquessuch asText Classification,Named Entity Recognition (NER),Topic Modeling, andSentiment Analysisis required. UnderstandingGenerative AI,Large Language Models, andTransformerswould be an added advantage.
  • Have hands-on experienceinPython data-scienceandmath packagessuch asNumPy,Pandas,Sklearn,Seaborn,PyCaret, andMatplotlib.
  • ProficiencyinPythonand commonMachine Learning frameworkssuch asTensorFlow,NLTK,Stanford NLP,PyTorch,Ling Pipe,Caffe,Keras,SparkML, andOpenAIis required.
  • Experienceof working inlarge teamsand using collaboration tools likeGIT,Jira, andConfluenceis a must.
  • Good understandingof any of thecloud platformssuch asAWS,Azure, orGCPis required.
  • UnderstandingofCommercial Pharma landscapeandPatient Data/Analyticswould be a huge plus.
  • Should have anattitude of willingness to learn,accepting the challenging environment, andconfidencein delivering the results within timelines.
  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Machine Learning
    Role: Full Stack Data Scientist
    Employement Type: Full time

    Contact Details:

    Company: Covalense Global
    Location(s): Hyderabad

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    Keyskills:   python natural language processing training pytorch keras dss scikit-learn nltk lingpipe caffe pyspark microsoft azure machine learning artificial intelligence sql pandas deep learning decision tree seaborn data science spark spark mllib jira

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    Covalense Global

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