Scrum Master - Data Science Projects

Project Manager

Job Description

Job Purpose: As a Scrum Master for one or more Data Science squads in NIQ, you will enable high‑performing, cross‑functional teams that deliver analytics, ML/AI, and data‑product outcomes. This position focuses on fostering disciplined Agile practices tailored for experimental, research‑driven environments, ensuring teams remain aligned, collaborative, and continuously improving in pursuit of innovative data‑science solutions.

Job Responsibilities:

• Coach and develop Data Science team members by guiding them in applying Scrum principles tailored to experimental, exploratory, and non‑linear research workflows.
• Facilitate all Scrum events—including Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective—ensuring adherence to Scrum theory, agreed processes, and predictable capacity‑based planning.
• Assess team strengths and improvement areas, using targeted coaching techniques to elevate team maturity, collaboration, and delivery performance.
• Proactively identify, address, and remove impediments, partnering with Scrum Masters, Agile Coaches, and leadership to improve organizational delivery flow.
• Monitor sprint and release commitments against actual delivery, ensuring progress is visible and the team remains accountable to agreed goals.
• Use delivery metrics such as cycle time, throughput, and predictability to drive continuous improvement, inform retrospectives, and maintain transparency with stakeholders.
• Collaborate closely with Product, Technology, and Operations partners on roadmaps, timelines, and dependencies, ensuring proactive coordination with adjacent teams.
• Escalate risks and issues promptly with clear context and recommended actions to enable timely decision‑making.

Qualifications

Requirements:

Essential:

• 5+ years experience
• Coach and develop Data Science team members by guiding them in applying Scrum principles tailored to experimental, exploratory, and non‑linear research workflows.
• Facilitate all Scrum events—including Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective—ensuring adherence to Scrum theory, agreed processes, and predictable capacity‑based planning.
• Assess team strengths and improvement areas, using targeted coaching techniques to elevate team maturity, collaboration, and delivery performance.
• Proactively identify, address, and remove impediments, partnering with Scrum Masters, Agile Coaches, and leadership to improve organizational delivery flow.
• Monitor sprint and release commitments against actual delivery, ensuring progress is visible and the team remains accountable to agreed goals.
• Use delivery metrics such as cycle time, throughput, and predictability to drive continuous improvement, inform retrospectives, and maintain transparency with stakeholders.
• Collaborate closely with Product, Technology, and Operations partners on roadmaps, timelines, and dependencies, ensuring proactive coordination with adjacent teams.
• Escalate risks and issues promptly with clear context and recommended actions to enable timely decision‑making.

Preferred:

• SAFe certification (SSM, SASM, RTE, SA, or equivalent).
• Direct experience supporting Data Science, ML/AI, or advanced-analytics teams — understanding their workflows, dependencies, tooling, and terminology.
• Comfort adapting Agile practices for teams working with complex datasets, experimental pipelines, and iterative research where outcomes are uncertain by design.

 

Additional Information

Our Benefits

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

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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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 by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Experience Level

Mid Level