NielsenIQ
Market Research
DirectorDataScience
Neural analysis suggests this role is
optimal for director candidates.
“Director Data Science at NielsenIQ. Skills: Data Science, ML/AI, Business Intelligence, Analytics Engineering, Quantitative Analysis. Operate in technical leadership capacity. Lead large teams”
What You'll Achieve.
Deliver scalable experiments; Deliver high-quality experiments; Deliver reproducible experiments; Deliver measurable experiments; Deliver scalable PoCs; Deliver high-quality PoCs; Deliver reproducible PoCs; Deliver measurable PoCs; Ensure stakeholder satisfaction
Industry & Context.
Analytical problem solving; Complex problems; Interconnected problems; Hidden data patterns; Emerging methodologies
What They're Looking For.
Must Have
10+ years of experience in Data Science, Statistics, or Mathematics, 5+ years of experience in a leadership role, Proven expertise in designing scalable data science solutions, Proven expertise leading complex initiatives, Experience in experimentation design, Experience in KPIs, Experience in scientific methodologies, Demonstrated ability to influence product development, Demonstrated ability to influence business strategy, Expert-level ability to solve complex problems, Expert-level ability to solve interconnected problems
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Operate in technical leadership capacity
Lead complex initiatives
Own design of key segments
Own delivery of key segments
Drive teams to deliver experiments
Drive teams to deliver PoCs
Set scientific standards
Champion methodological approaches
Identify industry innovations
Apply emerging AI capabilities
Design robust experimentation frameworks
Establish trusted KPIs
Promote Data Science brand internally
Promote Data Science brand externally
Define technology initiatives
Lead technology initiatives
Ensure delivery of data science solutions
Ensure delivery of PoCs
Ensure delivery of applications
Shape research directions
Improve methodologies
Analyze scientific literature
Identify improvements
Identify innovation opportunities
Ensure stakeholder satisfaction
Collaborate with Product Leaders
Collaborate with Program teams
Collaborate with Senior Technology stakeholders
Influence decision-making
Set clear expectations
Navigate complex stakeholder environments
Manage teams directly
Manage teams indirectly
Build external partnerships
Maintain external partnerships
Shape product development lifecycle
Influence product development lifecycle
Partner with Product teams
Define roadmap clarity
Promote product-centric culture
Drive continuous innovation
Drive product improvement
Estimate complex initiatives
Size complex initiatives
Define functional requirements
Define non-functional requirements
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholder engagement; Senior leadership engagement; Product teams; Program teams; Technology stakeholders; External partnerships
Communication Scope
Stakeholder engagement; Clear communication
Process & Methodology
Roadmap clarity, Complex initiatives
Full Job Description
Our Data Science teams help to provide NIQ’s clients with the most complete understanding of the market and its consumers. With a footprint in over 100 countries across the globe, our expansive data and measurement capabilities provide market context and confidence. We are constantly innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer. The Data Science Team supports multiple NIQ functions by providing expertise in panel development, enabling new products, data feeds, and estimation techniques. We are responsible for defining and maintaining best practices in panel weighting, data processing, and aggregation. Integrity is at the core of our work, guiding our processes, deliverables, and team collaboration. Approach to Work * Operates in a technical leadership capacity, leading large teams or complex initiatives. * Owns the design and delivery of key segments within the Data Science function. * Drives teams to deliver scalable, high-quality, reproducible, and measurable experiments and PoCs. * Sets scientific standards and champions strong methodological approaches. * Identifies and applies industry innovations and emerging AI capabilities into day-to-day work. * Designs robust experimentation frameworks and establishes trusted KPIs. * Promotes the Data Science brand internally and externally through impactful delivery and stakeholder engagement. Focus of Activities * Defines and leads execution of complex, large-scale technology initiatives and teams. * Ensures delivery of robust, reproducible data science solutions, PoCs, and applications. * Shapes research directions aligned with business impact and emerging scientific trends. * Reviews and improves methodologies across Data Science initiatives. * Analyzes scientific literature to identify improvements and innovation opportunities. * Drives vision and execution to meet commitments and ensure stakeholder satisfaction. Stakeholder & Leadership Management
Applying for this Director Data Science role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about NielsenIQ?
Real rants from real employees. Read before you apply.