NielsenIQ
consumer intelligence
SeniorDataScientist
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Scientist at NielsenIQ. Skills: data science, statistical methods, Python, SQL. Own detailed analytical workstreams to address defined business and client questions. Manage and balance multiple projects while meeting quality, accuracy, and delivery standards”
What You'll Achieve.
provide data-driven, actionable, timely, and innovative solutions; deliver accurate, timely insights
Industry & Context.
solving complex client challenges; data-driven, actionable, timely, and innovative solutions; analytical rigor; apply sound statistical and analytical methods to solve well‑defined business and client problems; problem‑solving skills
What They're Looking For.
Must Have
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, 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
What You'll Do.
Own detailed analytical workstreams to address defined business and client questions
Manage and balance multiple projects while meeting quality
and delivery standards
Support end‑to‑end implementation of analytical solutions
from analysis through delivery
Evaluate existing methodologies and processes to ensure appropriate application
and recommendations clearly and concisely
Continuously develop technical
How You'll Work.
Team & Collaboration
Represent Data Science in cross‑functional interactions and project discussions; collaborate effectively across teams
Communication Scope
clear execution; communicate clearly with both technical and non‑technical partners; Explain technical concepts and results to teams with varying levels of analytical expertise; verbal, written, and presentation skills
Process & Methodology
Manage and balance multiple projects
Full Job Description
Our NielsenIQ teams empower our clients to make bold decisions and transform their businesses in trusted data, solutions, and insights designed to drive innovation and growth. The NielsenIQ North America Data Science team is passionate about solving complex client challenges and providing data-driven, actionable, timely, and innovative solutions. This Senior Data Scientist position was created to support our US Data Science initiatives. This position requires someone who is passionate about learning, multi sourced data, data quality, statistical measurement, automation, efficiency, and consumer behavior. About You You are a disciplined, curious, and self‑starting data scientist who values trusted data, analytical rigor, and clear execution. You proactively take ownership of your analyses, work effectively with complex, multi‑sourced data, and apply sound statistical and analytical methods to solve well‑defined business and client problems. You care deeply about data quality, documentation, and deliver accurate, timely insights. You communicate clearly with both technical and non‑technical partners, collaborate effectively across teams, and are motivated to continuously deepen your expertise in NIQ data assets, measurement concepts, and scalable 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 analyti
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