NielsenIQ

Market Research

DirectorDataScience

$215–325k ~AI est. Illinois, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for director candidates.

The Brief

“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.

Market Research
Problems you'll solve

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

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