Data Science Manager

You will be responsible for leading and managing a dynamic team of data scientists. You will play a crucial role in overseeing the team's sprints, workload reviews, OKR and goal setting, and regular career planning. Working with peers within the CGA Technology group (GBS), you will align the Data Science initiatives with the company's strategic direction and ensure delivery of our strategic goals.

1. Team Leadership:

· Lead, mentor, and manage a team of data scientists to ensure a high level of performance and productivity.

· Foster a collaborative and innovative team culture that encourages continuous learning and professional development.

2. Sprint Planning and Execution:

· Coordinate and facilitate work planning sessions to define project scope, goals, and deliverables.

· Manage the execution of sprints, ensuring that the team meets deadlines and delivers high-quality results.

3. Workload Reviews:

· Conduct regular reviews of team members' workloads using JIRA, providing guidance on prioritization and resource allocation.

· Collaborate with team members to identify potential challenges and implement solutions to optimize workload distribution. 4. Goal Setting and Target Achievement:

· Work closely with the team to establish clear and measurable departmental goals aligned with the organizational objectives.

· Monitor progress towards goals, identify obstacles, and implement strategies to ensure targets are consistently met.

5. Collaboration with Other Teams:

· Establish effective communication channels with cross-functional teams to understand project requirements and ensure alignment with organizational goals.

· Foster a collaborative working environment by facilitating effective communication and knowledge sharing between data science and other teams within the GBS function.

6. Process Improvement:

· Identify opportunities for process improvement within the data science team, optimizing workflows, and implementing best practices.

· Stay abreast of industry trends and emerging technologies to enhance the team's capabilities.

· 5+ years' experience of leading Data Science teams

· Experience with cloud computing and storage (MS Azure preferred).

· Experience with DataBricks (Development and Deployment)

· Strong knowledge of optimization and / or machine learning algorithms

· Strong knowledge of Python and the respective development tools (e.g. Jupyter, PyCharm)

· Experience in SDLC and version control platforms

Our Benefits

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

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.

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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