Principal Data Scientist - Media Measurement (MM)

Principal Data Scientist

As a Principal Data Scientist, you shape high‐impact, client‐relevant Data Science concepts and ensure strategic coherence across teams and domains. This role is a perfect playground for highly experienced, concept‐driven minds who enjoy influencing direction, clarifying complexity, and shaping how Data Science creates value at scale.

Job Responsibilities

• Strategic & Conceptual Contribution: Shape and contribute to the strategic alignment and prioritization of cross‐cutting Data Science topics across our Media unit; define clear concepts and target pictures for high‐impact initiatives, bridging currency and outcome use cases; identify conceptual risks and unrealistic assumptions early; ensure scientific rigor, feasibility, and client relevance.
• Data Science Board Participation & Steering: Shape decisions on delivery readiness, spikes, and prioritization; support clear steering decisions.
• Client, Market & Growth Impact: Contribute to client pitches, tenders, and growth initiatives; support market expansion; ensure concepts scale across markets and media contexts while remaining compatible with existing currency principles.
• Narrative & Guidance: Create Data Science value narratives; provide ‘Why this matters’ framing; develop concepts and whitepapers for delivery teams; consult on solution readiness and prioritization.
• Mentoring & Capability Building: Mentor and guide other Data Scientists, supporting their professional growth and conceptual thinking; provide senior technical and methodological guidance across teams without direct people management responsibility; act as a role model for high‐quality Data Science thinking, communication, and stakeholder interaction.

Qualifications

• Master’s or PhD in a quantitative field
• 8‐10+ years of Data Science experience
• Advanced statistical, ML and AI expertise
• Strong background in the Media domain, or demonstrable experience working in complex industry measurement contexts
• Proven ability to influence senior stakeholders and shape cross‐team Data Science initiatives across currency and outcome

Benefits

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

Our commitment to Diversity, Equity, and Inclusion: At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected