Data Scientist

NielsenIQChicago, IL
1d

About The Position

Our NielsenIQ teams empower our clients to make bold decisions and transform their businesses in trusted data, solutions, and insights designed to drive innovation and growth. The NielsenIQ North America Data Science team is passionate about solving complex client challenges and providing data-driven, actionable, timely, and innovative solutions. This position requires someone who is passionate about learning, multi sourced data, data quality, statistical measurement, automation, efficiency, and consumer behavior.

Requirements

  • Bachelor’s or Master’s Degree with a quantitative discipline.
  • 0–2 years of professional experience in a quantitative or analytical role.
  • Strong quantitative and problem-solving capabilities.
  • Proficiency in Python and SQL.
  • Understanding of analytical processes and methodologies.
  • Effective written, verbal, and presentation skills.
  • Strong organizational and time-management skills.
  • Ability to work independently and collaboratively in a team environment.

Responsibilities

  • Perform detailed quantitative analyses to support business and client needs.
  • Manage multiple projects concurrently while meeting deadlines.
  • Represent Data Science in cross-functional collaborations.
  • Support end-to-end solution implementation and deployment.
  • Evaluate and improve existing methodologies.
  • Document, present, and communicate findings to diverse audiences.
  • Identify, troubleshoot, and resolve data or system issues.
  • Continuously develop technical and analytical skills.

Benefits

  • Comprehensive healthcare plan (medical, Rx, dental, and vision).
  • Flexible spending accounts and a Health Savings Account (including company contributions).
  • Life and AD&D insurance.
  • 401(k) retirement plan including company matching contributions.
  • Disability insurance.
  • Tuition Reimbursement.
  • Discretionary paid time off program and 11 paid holidays.
  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)
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