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LM

Service Data Scientist

Liebherr Maschinen Bulle AG

Bulle, Fr
CDI
Publié le 5 novembre 2026 · Expire le 5 décembre 2026

Description du poste

--- base: meta-keywords: meta-viewport: width=device-width, title: Service Data Scientist (m/f/x) ---   Service Data Scientist (m/f/x) ============================== Your Responsibilities --------------------- You take ownership of the Sales analytics domain, providing data-driven insights into actual sales performance and untapped sales potential You systematically build transparency on sales potential across the installed base and actual sales performance to help focus commercial efforts where they can have the greatest impact You provide customer and sales insights to support portfolio, pricing and go-to-market decisions You share accountability with Sales for realizing jointly identified sales potential, as measured against agreed KPIs You ensure reliable and consistent sales figures through harmonized definitions across the team and follow up on CRM data quality issues with the responsible data owners until resolution You provide early warnings of relevant developments in sales performance and hit rates, and proactively propose automation and process improvements to reduce manual effort You ensure business continuity through up-to-date documentation and mutual deputyship during absences Your Profile ------------ You hold a Master's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, Industrial Engineering or a related field You have at least two years of experience in data science, sales analytics or commercial analytics. Experience in the aftermarket is considered an advantage You have an excellent command of English. Knowledge of German and/or French is considered an advantage You have advanced knowledge of statistical analysis and machine learning You have a strong command of Python or R and SQL for data analysis and modelling, as well as proven experience with dashboards and reporting using business intelligence (BI) tools You combine strong analytical thinking with commercial pragmatism and can translate complex analyses