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Senior Data Scientist - Remote

Posted 2 days ago
Data Analysis
Full Time
India

Overview

The Senior Data Scientist will independently manage assignments, participate in data experiments, ensure data accuracy, and collaborate with various stakeholders to deliver insights and dashboards.

In Short

  • Plans and completes assignments independently.
  • Participates in data experiments and sets measurable goals.
  • Ensures data accuracy through consistent analysis.
  • Documents processes and specifications for smooth deployment.
  • Collaborates with stakeholders including Technology and Operations.
  • Designs dashboards of KPIs with minimal supervision.
  • Communicates progress and identifies blocking issues.
  • Applies critical thinking and takes initiative.
  • Works with planning tools like Jira.
  • Has domain expertise in Data Science processes.

Requirements

  • Degree in Maths, Data Science, Statistics, or related fields.
  • 3-6 years of experience in market research or relevant field.
  • Ability to manipulate and analyze large data sets.
  • Experience with high-level programming languages like Python and SQL.
  • Knowledge of data visualization tools like Power BI.
  • Familiarity with cloud computation and storage.
  • Experience with planning tools such as Jira.

Benefits

  • Flexible working environment.
  • Volunteer time off.
  • LinkedIn Learning access.
  • Employee-Assistance-Program (EAP).
NielsenIQ logo

NielsenIQ

NielsenIQ is a global leader in measurement and data analytics, providing comprehensive insights into consumer behavior and market dynamics. With a presence in over 90 countries, NielsenIQ delivers accurate and actionable information to consumer packaged goods manufacturers and retailers, enabling them to innovate and grow in a complex marketplace. The company combines its proprietary data with other sources to help clients understand current trends and future opportunities. Committed to diversity and inclusion, NielsenIQ is an Equal Opportunity/Affirmative Action employer, ensuring a workforce that reflects the diversity of the markets it serves.

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