• Role of a Data Scientist

    • March 21, 2015
    • Posted By : dpsoma
    • 0 Comment
    • Big Data Analytics Business Analytics Business Analytics Course Predictive Modeling Sentimental Analytics

    [cs_column column_size=”1/2″][cs_image column_size=”1/1″ image_style=”plain” cs_image_url=”http://www.datapanaceaonline.com/wp-content/uploads/2015/03/climbing-the-ladder-370×278.png” cs_image_url1=”Browse”][/cs_image][/cs_column][cs_column column_size=”1/2″]A data scientist is someone who:

    • Better at statistics than any other software engineer
    • A  Data Scientist is unlike an Analyst creates data.
    • Scientist who has access to more measurements (data) than ever before
    • Converting raw data into pictorial or statistical reports. Then sending reports to the higher level for analysis/predictive and calculative analysis.


    • A mix of multiple positions: Data intake, Visualization, Model Creation, Analysis, Data Operations etc
    • Develop methodologies and execute on them to expand knowledge.

    Skill Sets:

    • Good at analyzing and ability to communicate findings to both business and IT leaders in an influence way.
    • Strong business acumen
    • Inquisitive in nature


    Desired Candidate

    • Technically Sound – R, SAS, python, java, hive/pig/SQL
    • Data scientists have to be well versed in regression
    • Hands clear on probability, time series, and linear algebra.
    • Computer science and applications, modeling, statistics, analytics

    [cs_column column_size=”1/2″][rev_slider blog-image][/cs_column][cs_column column_size=”1/2″]Industries Hiring Data Scientist:

    • Search engines
    • Social networks
    • IT/Software
    • Financial institutions
    • The health care
    • Engineering companies Oil industry
    • Retail
    • Telecom/Mobile analytics
    • Marketing agencies
    • Data science vendors
    • Environment, utilities government and defense
    • Manufacturing


    Salary Range:

    Minimum INR 5 LAC


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