**Job Description**

At Nielsen, we're looking for a Data Science Manager to lead and inspire our team of talented data scientists.

Are you passionate about translating business challenges into sophisticated, data-driven solutions?

Does the prospect of guiding a team to apply cutting-edge AI/ML to solve the biggest problems in audience measurement excite you?

In this role, you'll be at the forefront of our mission, shaping the technical direction and strategy for our AI/ML initiatives.

You'll lead, mentor, and empower a team to develop innovative machine learning systems that unlock novel insights from complex audience data, driving the next generation of our industry-defining software.<strong>Core

Responsibilities

• </strong>● Strategic Direction: Defines the overall data science strategy, aligning it with business objectives in media and audience measurement.
• Identifies key areas for data-driven innovation and growth.● Project Management & Oversight: Manages the entire lifecycle of data science projects, from conceptualization and resource allocation to execution, monitoring, and delivery.
• Ensures projects are completed on time, within budget, and to the required quality standards.● Stakeholder Liaison: Acts as the primary interface between the data science team and internal/external stakeholders (e.g., product development, sales, marketing, clients).
• Translates complex technical concepts into understandable business insights and manages expectations.● Team Leadership & Mentorship: Fosters a collaborative and high-performing team environment.
• Provides guidance, mentorship, and professional development opportunities to team members, ensuring continuous skill enhancement and career growth.● Technical Guidance & Quality Assurance: Provides high-level technical oversight, reviews methodologies, and ensures the quality and accuracy of data science
• **Qualifications**
• ● Strong Technical Background: Deep understanding of data science principles, methodologies, and advanced analytical techniques, including machine learning, statistical modeling, and data engineering fundamentals.● Domain Expertise: Extensive experience (typically 7+ years) in the media and audience measurement industry, with a proven track record of applying data science to solve complex challenges related to audience segmentation, content consumption, ad effectiveness, and media planning.● Leadership & Management Skills: Demonstrated ability to lead and motivate a technical team, manage multiple projects simultaneously, and communicate effectively with both technical and non-technical audiences.● Strategic Thinking: Capacity to envision and implement long-term data strategies that contribute to business growth and competitive advantage.
• **Additional Information**
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