Associate - Projects

1 week ago

Pune, Maharashtra, India Cognizant Technology Solutions Full time

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

  • Machine Learning
  • Python

Good To Have Skills

  • Spark ML
  • Statistics
  • Azure Open AI Service
  • Transformer
  • EDA(Exploratory Data Analysis)
  • Google Vertex AI
  • Google Cloud Natural Language
  • Dialogflow Virtual Agents
  • Azure Computer Vision
  • AWS Machine Learning
  • DataRobot
  • Neuro AI
  • Dataiku
  • BigQuery ML
  • AutoML Tables
  • Artificial Intelligence
  • Amazon Sagemaker
  • Natural Language Processing
  • PySpark
  • Julia
  • R Studio
- keras

  • BayesiaLabs
  • SPSS
  • Azure Machine Learning
  • Watson
  • Vertex
  • Apache Hadoop
  • MATLAB

Employee Status :
Full Time Employee

Shift :
Day Job

Travel :
No

Job Posting :
May

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