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Nielsen Off Campus Drive 2023 for Analyst/Data Scientist

Nielsen Off Campus Drive 2023 For its Analyst/Data Scientist, Nielsen Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Any Graduate. If you are interested, please apply as soon as possible.

Company Name: Nielsen

Role: Analyst/Data Scientist

Location: Bangalore

Experience: Freshers(0-3)

Qualification: Any Graduate

Batch: Any Batch

Job Type: Full Time

Salary: Best in Industry

Nielsen Off Campus Drive 2023

About Us:

  • At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey.
  • By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed.
  • We champion you because when you succeed, we do too.
  • Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve.
  • We enable your best to power our future.

Requirements:

  • 0-3 years work experience
  • Proficiency in Python, Spark, SQLDegree in data science, statistics, engineering, applied mathematics, operations research, information sciences, or another biological/physical science.
  • Strength in code documentation
  • Proficiency in Git and code versioning tools (Gitlab)
  • Proficiency in Atlassian Suite such as JIRA and Confluence.
  • Familiarity with cloud computing (AWS, Goolge Cloud preferred)Knowledge of statistics and machine learning
  • Ability to manipulate, analyze, and interpret large datasets
  • Knowledge of dashboarding and visualization tools like Spotfire/Tableau

Business Skills:

  • Excellent oral and written communication
  • Self-motivation and an ability to handle multiple competing priorities in a fast-paced environment
  • Strong interpersonal skills and the ability to develop effective relationships with other team members, including remotely.

Responsibility:

  • Build measurement and planning solutions for publishers, advertisers, and agencies.
  • Support reproducible data science projects end-to-end
  • Deploy and maintain data pipelines and models in a production environment
  • Work with cross-functional teams to productionize, validate, and optimize methodologies
  • Communicate methodology and research findings to varying audiences
  • Support research on methodology changes to cross-platform audience measurement.
  • The primary research areas include trend analyses, imputing missing data, representation/ sampling, bias reduction, indirect estimation, data integration, and automation.
  • Continuous support and development of new projects by exploring the data – Variable Identification, cleaning the data , applying dimension reduction techniques, calculating distances and integrating the surveys.
  • And also using output evaluation techniques in order to make sure of the accuracy.
  • Address quality escapes and fix issues in production code.
  • Document new methodologies and code.
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