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Lead Data AnalystFaridabad

4.00 to 9.00 Years   Faridabad   27 May, 2019
Job LocationFaridabad
EducationNot Mentioned
SalaryRs 6 - 14 Lakh/Yr
IndustryIT - Software
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

Role: Lead Data Analyst Education- UG: B.Tech/B.E. - Any SpecializationPG: M. Tech / M.Sc Analytics / Statistics / Operations Research Salary Best as per the Industry Standards Location: Faridabad URL: www.servicesats.comJob Brief:We are looking for a motivated and self-driven individual. The IT analytics and business intelligence team is responsible for reviewing analytical solutions to stakeholder groups by building, maintaining and enhancing analytic solutions in a specific function such as BI Development or Application Administration or Analytic Data Development. The team is responsible to review solutions for various stakeholder groups, and should have a sound understanding of business requirements. An ideal candidate in this team should be able to articulate analytic requirements, while working in close partnership with cross-functional teams.Essential

  • Technical Skills: Python (numpy & scipy), Big Data Skills Hadoop & Mapreduce, Clustering, NLP, Logistic Regression, principal Component Analysis, Conditional Random Fields and Neural Nets.
  • Added experience in apache spark, Reinforcement Learning (CALA/FALA) or any of other mapreduce technologies is a plus.
  • Strong understanding and working knowledge of statistics and probability.
  • Should be able to architect a solution.
  • Ability to map business goals to data modelling
  • Experience in data cleanup and data enrichment.
  • Team Leading Experience
  • Minimum 5-7 years of Work experience.
Desirable:
  • Hands on experience in statistical modeling, python numpy, scipy, and nltk packages, hadoop map reduce, apache spark. Applied toolset: PCA, SVD, linear algebra, logistic regression, matrix manipulation, and visual representation, SVM, reinforcement learning, random forests, Googles tensor flow, topic mining, and sentiment analysis.
  • Strong Analytical and Communication skills
  • Amicable & Team Player

Keyskills :
numpynlphadoopredictivemodelingneuralnetworksclusteranalysislogisticregressionscipymapreduceneuralnets

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