Sr. Data Scientist
@ NielsenIQ

Hybrid
$120,000
Hybrid
Full-time
Posted 1 month ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXX******* @niq.com
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Job Details

Overview

At NielsenIQ, our teams empower clients to make bold decisions through trusted data, innovative solutions, and actionable insights. The Sr. Data Scientist will support US Data Science initiatives.

Responsibilities

  • Lead detailed data analysis and evaluation of current methodologies.
  • Manage multiple projects simultaneously.
  • Represent Data Science in cross-functional interactions.
  • Support end-to-end implementation of solutions and document findings.
  • Detect, troubleshoot, and resolve system anomalies.
  • Communicate technical details to team members effectively.
  • Continuously develop your skill set.

Experience & Skills

Candidates should hold a Bachelor’s or Master’s in a quantitative discipline with 3-5 years professional experience. Proficiency in Python or R and SQL is required, along with strong quantitative, analytical, and presentation skills.

About NielsenIQ

NielsenIQ is a global measurement and data analytics leader that offers the most complete view of consumers and markets. With operations in over 90 countries, NielsenIQ combines proprietary data with external sources to drive innovation and growth. The company is committed to diversity, equity, and inclusion.

Key skills/competency

  • Data Analysis
  • Python
  • R
  • SQL
  • Statistical Measurement
  • Automation
  • Problem Solving
  • Consumer Behavior
  • Project Management
  • Presentation
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How to Get Hired at NielsenIQ

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to NielsenIQ requirements.
  • Highlight data expertise: Emphasize Python, R, SQL on resume.
  • Research company culture: Learn about NielsenIQ values and initiatives.
  • Prepare for technical interviews: Review data analysis and statistical concepts.

📝 Interview Preparation Advice

Technical Preparation

Review Python and R frameworks.
Practice SQL queries and optimization.
Analyze large datasets using statistical tools.
Study troubleshooting and system anomaly resolution.

Behavioral Questions

Describe a time handling multiple projects.
Explain team communication during challenges.
Discuss decision-making in high-pressure situations.
Share experiences developing new skills.

Frequently Asked Questions