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Sr Data Scientist Data & Analytics

3.00 to 5.00 Years   Bangalore   08 May, 2019
MarketShare
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
Industryelecom / ISP
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

The Sr. Data Scientist will focus on Identity resolution and their group will be involved in projects from end-to-end, including data ingestion and curation, hypothesis development, feature engineering, and model development and evaluation. The team will be integral to the development of an automated real time anomaly and fraud detection systems.Application areas include Identity Resolution, Marketing Analytics Security and Fraud and other Business Solutions supported by our or our client s data.Data Scientists create prototypes of new algorithms and support Engineering teams in productizing these capabilities. Data Scientists work closely with various teams including data acquisition, data products, data sciences and various business units including marketing, security, and internet of things to ensure implementation of capabilities that enable the organization s vision. The role is based out of India at the Neustar offices in Bangalore.Responsibilities:

  • Algorithm Development: Develop a deep understanding of all the data relevant to the problem to be addressed. Establish deterministic and probabilistic linkages between data sources and develop ways to extract and summarize the sought information in the data using a wide variety of statistical, data mining and machine learning techniques.
  • Prototyping: Create prototypes of productizable ways to perform the analysis at scale, provide documentation and help educate your colleagues in different function about the solution
  • Support Implementation: Closely work with product, engineering and client teams to incorporate Data Science capabilities into Neustar s products and services
Experience and Qualifications:
  • Masters s degree in Data Science, Statistics or a related field (we will consider applicants with a Bachelor s degree and relevant work experience as well)
  • At least three years of experience working on data-intensive analytics solutions & more than 5 years of overall experience.
  • Solid understanding of data mining and statistics concepts and familiarity with real-world applications of these techniques.
  • Hands on experience in Machine Learning
  • Solid knowledge of SQL in its various forms for traditional databases and distributed computing environments
  • Experience working with commercial and/or open source statistics and data mining packages
  • Experience working on large distributed datasets using Hive SQL, Spark, Python
  • Strong written and oral communication skills
  • Strong inter-personal collaboration skills. Being able to both work in groups or as an individual contributor
  • General curiosity, a willingness to experiment, pragmatism and the ability to handle ambiguity.
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Keyskills :
sqlacquisitionbiotechnologyresearchdevelopmentstaterequisitionmarketingresearchfrauddetectionmicrobiologycareermolecularbiologyanalyticscommunicationskillsisn

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