Remote Otter LogoRemoteOtter

Sr. Manager - Data Science - Remote

Posted Yesterday
Data Analysis
Full Time
Worldwide

Overview

As a Lead Data Scientist within the Data Science Methods team, you will drive the definition and support of new products and methods development, focusing on innovation in data processing for retail measurement and automation.

In Short

  • Define, plan, and execute analyses for innovation initiatives.
  • Prototype solutions and support pilot programs.
  • Engage in test-driven development of scalable data processing applications.
  • Deliver high-quality documentation of methodologies.
  • Collaborate with Developers, Data Scientists, and Technology engineers.
  • Support Operations teams as main users of solutions.
  • Engage with stakeholders on project execution and outcomes.
  • Participate in multiple projects simultaneously.

Requirements

  • PhD in Statistics with strong analytical skills.
  • Experience in trend analyses and multivariate statistics.
  • High proficiency in Python and data analysis packages.
  • Experience with Spark or big data solutions.
  • Experience in machine learning.
  • Familiarity with cloud computing (MS Azure preferred).
  • Experience with Docker and Linux command line.
  • Strong communication skills in English.

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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