Director of Data Science

Time left to apply: End Date: November 8, 2024 (28 days left to apply)

Job requisition ID: R089481

We're the world's leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere.

Kantar's Profiles division is home to the world's largest audience network, with access to 170m+ people in over 100 global markets, offering unrivalled global reach with local relevancy.

As the Director of Data Science, you will play a pivotal role in delivering growth for Kantar Profiles. You will lead a dedicated team of data scientists, data engineers, and data analysts to create innovative data products and solutions. You will work closely with technology and engineering to create alignment through data and accelerate our growth through the strategic application of data.

• Innovate through the application of data: Collaborate with technology and product development teams to establish a data science foundation.
• Lead the data science team, including all associated people activities.
• Support the creation and curation of a central data repository.
• Identify and standardise data science tools and methods.
• Provide guidance for the upskilling of stakeholders on data science best practices.
• Guide the creation and deployment of machine learning/AI applications.
• Partner with engineering to support the implementation of ML models.
• Work with the leadership team to develop a data-driven culture.
• Drive data-oriented decision making: Guide data analysts to enable data-driven insights and forecasting.
• Understand Kantar Profiles business model, identify strategic insights, and inform leadership.
• Work with operations stakeholders to ensure visibility into performance.
• Collaborate with wider Kantar stakeholders on common metrics.

• Leadership: Experience leading a data science team.
• Product Management: Background in managing data-related products or teams.
• Hands-on Data Skills: Proficiency in advanced data analysis and statistical methods, machine learning, and AI.

Technical Skills:

• Statistical Proficiency: Statistical techniques for complex data analysis.
• Machine Learning: Expertise in applying ML and AI to solve real-world problems.
• Data Visualization: Ability to present insights effectively using tools like Tableau and PowerBI.

Programming & Software Engineering:

• Coding Knowledge: Familiarity with programming languages and data science applications.
• Best Practices: Understanding of software development, version control, and code review.
• Libraries & Frameworks: Experience with data science libraries such as pandas and NumPy.

Data Engineering:

• Big Data Technologies: Knowledge of Hadoop, Spark, and Kafka.
• Database Management: Experience with relational and NoSQL databases.
• Data Pipelines: Understanding of ETL processes and data integration.

Architecture & Deployment:

• Data Platforms: Experience in architecting data and business intelligence platforms.
• ML Model Deployment: Experience implementing and optimizing ML models in production.
• Web Architecture: Understanding of scalable web platforms for deploying data science applications.

Soft Skills:

• Analytical Abilities: Strong quantitative skills for data-driven decision-making.
• Communication: Excellent interpersonal skills for collaboration and influencing.
• Adaptability: Ability to manage multiple priorities, with a strong bias for action.

We are not able to offer visa sponsorship or assist with relocation support for this role. Please ensure you have the right to work in the country where this role is located before applying.

Benefits include: 25 days annual leave, private medical plan, income protection, life assurance, enhanced employer pension contribution; plus award-winning voluntary flexible benefits.

Unleash your potential at Kantar's Profiles division, home to the world's largest audience network.

Join our expert team in survey design, sampling methodologies, and data science. Our Profiles Audience Network comprises over 170 million individuals, in more than 100 markets worldwide.

We shape the brands of tomorrow by better understanding people everywhere. We're dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers, and communities.