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Data Scientist


Source:
TIMESJOBS.COM
Location:
Gurugram, HR
Date:
12-11-2016
Job Code:
58273463
Categories:
  • Marketing & PR
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Job Details

In this exciting role, you will determine approach, method, plan and perform Live Audience Clustering, Look-alike and Insights Modeling, etcApply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how the users interact with the clients core/business productsPerform data analysis to inform a broad range of decisions about the products and operations of the company, including some of the most impactful questions facing the business.Help understand user behavior, preferences, and perceptions by conducting user research or analyzing user data.Build predictive models; design, conduct, and analyze surveys and experiments; and conduct other analyses to answer strategic or operational questions.Help the company make better use of data by extracting and making it easy to access the most actionable intelligence that can be derived from it.You as the ideal candidate3+ years relevant experience with a proven track record of leveraging analytics to drive significant business impactStrong programming skills and a proven ability to learn new programming languagesExperience with distributed databases and query languages like Hive is a plusStrong data visualizations skills to convey information and results clearlyProficiency with a statistical analysis tool such as SQL for extracting and structuring data, Proficiency in the use of Python or R, SAS for processing and analyzing data.Experience with building, applying, and evaluating predictive models.Experience in the use of data mining and exploratory analysis.Ability to work independently and drive your own projectsExceptional interpersonal and communication skills
Degree: M.Com. (Commerce) | M.Pharm. (Pharmacy) | M.Sc. (Science) | MA (Arts) | MBA/ PGDM | MCA/ PGDCA

Additional Degree: BE/ B.Tech (Engineering)

Experience: 3-8

Requirements

Application Programming | Data Warehousing | Database Administration (DBA)
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