What You Bring A proven track record (7+ years) in leading industrial capital equipment sales teams, ideally in the corrugated, printing, or machine-building industries.At least 5 years of experience managing sales teams in international or multi-country environments.In-depth understanding of the EMEA corrugated market and an established network of industry contacts (preferred).Strong technical aptitude and experience in solution-based sales.Demonstrated success in matrixed organizations and cross-functional collaboration.Strategic mindset with strong execution capabilities.A solid history of recruiting, developing, and retaining high-performing talent.Fluency in English; additional European languages—especially German—are a plus.Willingness to travel across the EMEA region (up to 50 – 60 %). What We Offer The opportunity to represent world-class corrugated finishing solutions with an industry-leading reputation.A key leadership role in a global, innovation-driven organization.A collaborative and empowering culture where your impact is recognized.A competitive compensation package including base salary, bonus, and benefits.Flexibility to work remotely, supported by our international network.
Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English. The Team Data Science & Advanced Analytics – with departments in Frankfurt, Philadelphia, Milan, Madrid, Athens, Warsaw and Beijing as well as a network of more than 300 experts worldwide - is the global competence center for statistics and data science at IQVIA.