Senior Data Scientist
@ NielsenIQ

Chicago, Illinois, United States
On Site
Full-time
Posted 12 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXX XXXXXXXXXXXXX XXXXXXXX***** @nielseniq.com
Recommended after applying

Job Details

Company Description

NIQ is the world’s leading consumer intelligence company. With a holistic retail read and comprehensive consumer insights, NIQ delivers the Full View™, combining advanced analytics and state-of-the-art platforms across 100+ markets.

Job Description

Join our international team in a flexible working environment to support North American Consumer Product development. As a Senior Data Scientist, you will:

  • Evaluate current methodologies and identify enhancement opportunities.
  • Develop prototypes for new solutions to address market challenges.
  • Design validation and projection performance indicators linked to product quality.
  • Summarize and present findings and recommendations to stakeholders.
  • Support production deployment of enhancements and maintain documentation.

Qualifications

Applicants should hold a Bachelor’s or Master’s degree in Mathematics, Statistics, Socio-economics, Data Science or related fields, with 3+ years of experience. Strong analytical skills, hands-on experience with Python, cloud computing (Azure, Databricks), SQL, and version control are required. Experience with consumer behavioral data is a plus.

Additional Information

This role offers a market competitive salary with potential bonus incentives. Benefits include flexible working arrangements, comprehensive healthcare, retirement plans, education support, and more.

Key skills/competency

  • Data Analysis
  • Python
  • SQL
  • Cloud Computing
  • Methodology Evaluation
  • Data Cleaning
  • Data Visualization
  • Prototype Development
  • Stakeholder Communication
  • Documentation

How to Get Hired at NielsenIQ

🎯 Tips for Getting Hired

  • Research NIQ's culture: Review mission, values and industry news.
  • Customize your resume: Tailor skills for data science roles.
  • Highlight technical expertise: Emphasize Python, SQL, and cloud knowledge.
  • Prepare for interviews: Review data analysis case studies and scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding examples.
Practice SQL query challenges.
Study Azure and Databricks setup.
Work on data cleaning techniques.

Behavioral Questions

Describe a time you solved data challenges.
Explain teamwork in cross-functional projects.
Discuss a project with tight deadlines.
Share how you handle data analysis stress.

Frequently Asked Questions