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Nielsen Sports
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Manager, AI / ML Data Science

Manager, AI / ML Data Science

Nielsen Sports

2 - 7 years

4 - 9 Lacs

bengaluru

Posted:2 days ago| Platform:

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Skills Required

manager quality assurance team management data science project management analytical machine learning resource allocation conceptualization monitoring media planning

Work Mode

Work from Office

Job Type

Full Time

Job Description

At Nielsen, were 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 solutionsDoes the prospect of guiding a team to apply cutting-edge AI/ML to solve the biggest problems in audience measurement excite youIn this role, youll be at the forefront of our mission, shaping the technical direction and strategy for our AI/ML initiatives. Youll 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.

Core

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

Key Qualifications:

Strong Technical Background: Deep understanding of data science principles, methodologies, and advanced analytical techniques, including machine learning, statist

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Market Research / Sports Analytics

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Manager, AI / ML Data Science