Junior Data Scientist (Hybrid)

NielsenIQ; United States; Remote; USD 70,000 - 90,000; Full time

Job summary

A leading company is seeking a passionate Jr. Data Scientist to join their Global Engineering Team. This role focuses on data visualization and analytics, ensuring data quality, applying statistical methodologies, and collaborating with teams. Ideal candidates are proactive, possess strong analytical skills, and have a degree in relevant fields. The position offers a flexible working environment and various benefits.

Benefits

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee Assistance Program (EAP)

Qualifications

• 0 to 1 year of experience with strong statistical data analysis skills.
• At least one year of experience with Python and knowledge of SQL.

Responsibilities

• Guarantee the quality and integrity of the data used in analyses.
• Apply statistical methodologies to analyze data.
• Innovate through critical review of statistical designs.

Skills

Statistical Data Analysis

Intellectual Curiosity

Leadership

Python

SQL

Advanced English

Education

Degree in Actuary

Degree in Statistics

Degree in Applied Mathematics

Tools

Office Applications

Job description

Company Description

The NielsenIQ Global Engineering Team is seeking talented engineers passionate about data visualization and retail data analytics. Are you ready for your next challenge as a Jr. Data Scientist?

Our team empowers retailers by transforming shopper insights into strategic advantages. We harness data expertise, advanced modeling, AI, and cloud-based solutions to uncover what drives consumer decision-making—delivering actionable insights directly to our clients.

Job Description

A Jr. Data Scientist is responsible for ensuring that activities related to Universe Estimation and Sample Design are completed on time and according to corporate standards, under the supervision of their immediate superior.

Responsibilities

1. Guarantee the quality and integrity of the data used in analyses.
2. Apply statistical methodologies to analyze data.
3. Innovate through critical review of statistical designs and market needs.
4. Demonstrate strong capacity for statistical data analysis.
5. Experience in large-scale sampling and/or surveys.
6. Knowledge of Machine Learning/Neural Networks.

Qualifications

Ideal candidates should be self-directed, proactive, and demonstrate leadership qualities. They should generate ideas for improvement, be passionate about high performance, and support special projects or initiatives as needed.

Requirements

• Degree in Actuary, Statistics, Applied Mathematics, or related fields.
• 0 to 1 year of experience with strong statistical data analysis skills.
• Intellectual curiosity and persistence to find answers.
• Advanced English proficiency.
• Ability to work remotely with multicultural teams.
• Interest in learning and adopting new technologies/tools.
• At least one year of experience with Python and knowledge of SQL.
• Intermediate proficiency in Office applications (Excel, PowerPoint).
• Experience in large-scale sampling and surveys.

Additional Information

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee Assistance Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering comprehensive insights into consumer behavior and new growth pathways. In 2023, NIQ merged with GfK, expanding our global reach. With advanced analytics and state-of-the-art platforms, NIQ provides the Full View of retail and consumer insights. As part of the Advent International portfolio, NIQ operates in over 100 markets, covering more than 90% of the global population.

For more information, visit NIQ.com

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Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of our clients, communities, and markets. We aim to embed inclusion and diversity into all aspects of our workforce, measurement, and products. We invite candidates who share this mission to join us. We are an Equal Opportunity/Affirmative Action employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any protected class. Learn more about our diversity initiatives at: https://nielseniq.com/global/en/news-center/diversity-inclusion