Jr. Data Scientist (Hybrid)

NielsenIQ; United States; Remote; USD 60,000 - 80,000; Full time

Job summary

A leading consumer intelligence company is seeking a Jr. Data Scientist passionate about data visualization and analytics. The role involves ensuring data quality, applying statistical methodologies, and innovating based on market needs. Ideal candidates will have a degree in relevant fields and strong analytical skills. Join a dynamic team committed to diversity and inclusion.

Benefits

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Qualifications

• 0 to 1 year experience in statistical data analysis.
• Advanced English and ability to work with multicultural teams.

Responsibilities

• Ensure quality and integrity of data used in analyses.
• Use statistical methodologies to analyze data.
• Innovate based on statistical designs and market needs.

Skills

Statistical Data Analysis

Intellectual Curiosity

Leadership

Education

Degree in Actuary, Statistics, Applied Mathematics

Tools

Python

SQL

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 of Universe Estimation and Sample Design are carried out on time and according to corporate standards, supported by the supervision of his immediate superior.

Responsibilities

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

Qualifications

About you

Ability to analyze statistical processes, self-directed, proactive, and with leadership qualities. You generate ideas for improvement, think differently, are passionate about working in a high-performing team, and willing to support special projects or initiatives as needed.

Requirements

• Degree in Actuary, Statistics, Applied Mathematics, or similar.
• 0 to 1 year of experience with a strong capacity for statistical data analysis.
• Intellectual curiosity and persistence to find answers.
• Advanced English proficiency.
• Ability to interact with multicultural remote teams.
• Interest in continuous learning and adopting new technologies/tools.
• Minimum one year of experience handling Python and knowledge of SQL.
• Intermediate proficiency in Office applications (Excel, PowerPoint).
• Experience in large-scale sampling and/or 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 buying behavior and new growth pathways. In 2023, NIQ merged with GfK, expanding our global reach. We provide holistic retail and consumer insights through advanced analytics and state-of-the-art platforms—delivering the Full View. NIQ operates in over 100 markets, covering more than 90% of the global population.

For more information, visit NIQ.com.

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Our Commitment to Diversity, Equity, and Inclusion

NIQ is dedicated to reflecting the diversity of our clients and communities within our workforce. We aim to embed inclusion and diversity into all aspects of our operations and measurement products. We invite candidates sharing this mission to join us. We are an Equal Opportunity/Affirmative Action employer, making decisions regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other protected class. Learn more at Diversity & Inclusion.