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Data Scientist

2.00 to 7.00 Years   Hyderabad   18 Oct, 2019
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryMedical / Healthcare
Functional AreaStatistics / AnalyticsGeneral / Other Software
EmploymentTypeFull-time

Job Description

  • Data Scientist is responsible for the capabilities needed to operate a scientific practice using advanced techniques to understand data and produce insights that are of value to Novartis.
  • The role encompasses the full life cycle- from design, implementation and rollout of the solutions.
  • The mission is to solve scientific, operational and technical challenges.
  • Collaborate in multi-functional teams to evaluate business activities, and then develop innovative and effective approaches to tackle team s analytics problems and communicate results and methodologies.
  • Ability to initiate and drive projects from conception to completion with minimal guidance.
  • Innovates and recommends advanced predictive analytics, computational science, Natural Language Processing (NLP), machine learning and deep learning techniques to answer research questions and synthesize insights that achieve business objectives.
  • Establishes scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Works to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
  • Ability to build and fine tune algorithms that scale up from small-scale proof-of-concept stage to full production systems
  • Build knowledge artifacts of real business problems that were solved with advanced analytics techniques which can be published in journals.
  • Excellent quantitative skills and the ability to tell a story using data

Minimum requirements

  • PhD. or Masters from top University in Statistics, Operational Research, Computer Science or in a quantitative field.
  • SQL, Python, R, Scala, Tensor Flow, Pytorch are Mandatory Qlikview/Tableau/Spotfire but not limited to these are good to have
  • 2+ years after PHD or 5+ years after Masters
  • In predictive modeling and large data analysis
  • In data querying languages (e.g. SQL), scripting languages (e.g. Python, R, Scala), or deep learning libraries (e.g. tensorflow, pytorch)
  • Expertise in at-least some visualization tools such as Qlikview, Spotfire, Tableau (but not limited to these) for designing insights is good to have.
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Keyskills :
machine learningpython data analysissql analyticsfrom conception to completion printer fleet managementnatural language processi

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