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    Associate Data Scientist - Manila, Pilipinas - Cognizant Technology Solutions

    Cognizant Technology Solutions
    Cognizant Technology Solutions Manila, Pilipinas

    5 araw ang nakalipas

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    OTHER
    Paglalarawan

    Not Applicable

    Qualification:

    Post-grad in one of the following fields with strong academic credentials:

    • • Computer Science/IT.
    • • Operations Research/Applied Math.
    • • Engineering.
    • • Statistics.

    Responsibility:

    Business:

    • 'Works with the business team to identify the right business objective and data required to answer the same.
    • Executes a data collection plan from both structured and unstructured sources that helps in data exploration , hypothesis testing and statistical modeling.
    • Analyzes data and generates insights that can articulated to business stakeholders.
    • Develops POCs that can be used to generate business decisions.
    • Simulates several scenarios through an interactive visualization that deepens the business understanding with underlying trends and root causes.

    Stakeholder Management:

    • '
      • Communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights.
    • • Coordinates in communicating the data needs with both technology and business teams to ensure that right data is captured for analysis and modeling.

    Project Management:

    • '
      • Ensure that the work goes ahead in a way that conforms to DS delivery framewrok and fulfills all outputs specifically outlined by stakeholders.
    • • Work with Business Operations and Delivering teams on designing, building and deploying data analysis systems for large data sets.
    • • Execute flawlessly on the DS project plan by adhering to timelines.
    • • Execute the design, analysis, or evaluation of assigned projects.

    Data Analytics and Reporting:

    • '
      • Explore and examine data from multiple disparate sources.
    • Prepare a data collection plan from both structured and unstructured sources.
    • Collaborate and coordinate with Technology and Business teams for all data needs.
    • • Expert level proficiency in data handling (SQL).
    • Data Discovery & Profiling.

    Data Discovery & Profiling:

    • '
      • Perform exploratory data analysis and generate insights.
    • Validate hypothesis developed during exploration phase.
    • Present initial results to business stakeholders and identify the next steps.

    Data Modelling:

    Create models using one or more of the platforms like R, SAS, Python, Matlab Model creation would involve one or more of the following technqiues:

    • 1 Classification.
    • 2 Clusterning.
    • 3 Time Series.
    • 4 Forecasting.
    • '
      • Testing and validating the model.
    • • Deriving insights and recommendations from the models.
    • • Performing data visualization and presentation to clients.

    Innovation & Thought Leadership:

    • '
      • Provide thoughtleadership and dependable execution on diverse projects.
    • • implement best practices and technology.
    • • Discover new opportunities where advanced analytical techniques can be leveraged for solving business problems.

    Knowledge Management:

    • Document all modeling steps in a systematic way including modeling process, insights generated , presentations , model validation results and checklists built in the project.
    • Prepare a one pager document that outlines and quantifies the business impact due to the DS project.

    Must Have Skills

    • BigQuery
    • SQL Developer
    • Item Management
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