Marketing Data Science Lead
At a glance
Senior Marketing Analytics role at Ferrero. luxembourg, L, LU.
Pay not stated Marketing Analytics salary
growthroles summary, based on the employer's posting.
What you'll do
- Use sales, media, promotion, pricing and economic data to model business questions across product categories and regions
- Build, test and launch machine learning and generative AI models, including retrieval-based systems, for decision support
- Prepare retail, eCommerce, shopper, survey and third-party data so it is reliable for analysis and reporting
- Automate analytics workflows and create Power BI dashboards or self-service tools for stakeholders
- Guide data scientists’ development and connect their goals to business priorities
What you bring
- A master’s or doctorate in a quantitative discipline, such as mathematics, statistics, engineering or econometrics
- At least eight years applying advanced analytics, plus hands-on knowledge of Market Mix Modeling
- Strong grounding in modeling and advanced statistics, with working knowledge of modern AI methods
- Proficiency with Python, Power BI, SQL, Azure, Spark and Scala
Who this fits
This senior role suits someone who can turn analytical results into business guidance and communicate clearly in English. You’ll be based in Luxembourg and lead, coach and develop data scientists.
From the employer
About the Role:
Based in Luxembourg within our Global Data Science & AI team, as a Marketing Data Science Lead you will contribute to solving complex business challenges through innovative analytics and AI-driven approaches, with a strong focus on production and scalability. You will shape strategic decisions across categories and geographies while growing your expertise through high-value global projects.
This role offers the opportunity to work on high-value projects that leverage cutting-edge technologies and methodologies, transforming data into actionable insights that guide Ferrero’s growth.
Main Responsibilities:
You will analyze diverse datasets, including sales, marketing and media, promotions, pricing, macroeconomic indicators, and build advanced statistical and AI-driven models to solve business questions across categories and geographies. Moreover, you will develop, test, and deploy models leveraging traditional Machine Learning models as well as Generative AI and Retrieval-Augmented Generation techniques to deliver contextual insights and decision support.
You will design robust data cleaning and classification procedures for sources such as retail sell-out, eCommerce sales, digital shelf metrics, shopper behavior, consumer surveys, and third-party datasets, ensuring data integrity for modeling and reporting.
You will script automation workflows for analytical pipelines and explore AI-driven automation for data preparation, processing, and model validation. You will also create interactive dashboards in Power BI and, in some cases, develop self-service UI solutions enabling stakeholders to run models independently.
Working closely with data scientists and cross-functional partners, you will explore emerging technologies, share knowledge, and strengthen our capabilities. You will lead, coach, and develop data scientist(s) fostering a high-performance culture of innovation, collaboration, and continuous learning while connecting individual goals with business priorities.
About You:
You bring a Master’s or PhD degree in a quantitative field – such as Mathematics, Econometrics, Statistics, Engineering, or an equivalent discipline; together with at least 8 years of applied Advanced Analytics experience. Your background includes expertise in modeling techniques and advanced statistical concepts, combined with familiarity with modern AI approaches. Practical knowledge and application of Market Mix Modeling approach is required.
You are proficient in programming languages such as Python, together with platforms like Power BI, SQL, Azure, Spark, and Scala. You bring experience in applying Bayesian modeling approaches and MLOps principles and are familiar with syndicated data sources such as NielsenIQ and Circana. Experience with Databricks is a plus.
You have strong analytical skills, creativity, and a test-and-learn mindset. You communicate clearly in English and can manage business stakeholders and interpret analytical outputs from a business perspective.
Ready to turn data into impact? Apply now and join Ferrero’s global analytics journey.
What We Offer:
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About Ferrero:
Ferrero began its journey in the small town of Alba in Piedmont, Italy, in 1946. Today, it is one of the world’s largest sweet-packaged food companies, with many iconic brands sold in countries all over the world. Find out more about Ferrero at ferrero.com.
DE&I at Ferrero:
Ferrero is committed to building a diverse and inclusive culture in which all employees feel welcomed and appreciated and have the same opportunities. We believe all our people are equally talented in their own way. In nurturing the curiosity and natural abilities of our employees, we provide them, generation after generation, the means to succeed personally and professionally, enabling them to craft their journey at Ferrero. The diversity of our talents is what makes our work environment multicultural, innovative, and highly rewarding.
Find out more here.
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