Senior Data Scientist - Client Analytics

Responsibilities

• Own detailed analytical workstreams to address defined business and client questions.
• Manage and balance multiple projects while meeting quality, accuracy, and delivery standards.
• Represent Data Science in cross‑functional interactions and project discussions.
• Support end‑to‑end implementation of analytical solutions, from analysis through delivery.
• Evaluate existing methodologies and processes to ensure appropriate application.
• Document analyses, findings, assumptions, and recommendations clearly and concisely.
• Detect, troubleshoot, and resolve data, system, or analytical anomalies within assigned work.
• Explain technical concepts and results to teams with varying levels of analytical expertise.
• Continuously develop technical, analytical, and domain expertise.

Requirements

• Bachelor's or Master's degree in a quantitative discipline (e.g., Statistics, Mathematics, Economics, Data Science, Engineering).
• 3-5 years of professional experience in a quantitative or analytics‑driven role.
• Strong quantitative aptitude with proven data analysis and problem‑solving skills.
• Proficiency in Python and SQL.
• Experience working with large, complex datasets.
• Solid understanding of analytical processes and methodologies.
• Strong verbal, written, and presentation skills.
• Effective planning and organizational skills.
• Ability to work independently and collaboratively in a team environment.
• Demonstrated curiosity and commitment to continuous learning.

Benefits

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Nielseniq? Share your experience