Data Scientist Demand Planning

Data Scientist Demand Planning (Supply Chain): Leading forecasting and data science capabilities for Coty's demand planning organization with an accent on predictive modeling and machine learning applications.Focus on improving forecast accuracy, mentoring an in-house analytics team, and driving system-wide adoption of O9 planning solutions.Location: Barcelona, Spain (Hybrid role, up to 50% remote per month).Company A global leader in the beauty industry committed to innovation, diversity, and creating an inclusive workplace.What you will do Lead the improvement of forecasting algorithms and predictive models for demand planning.Apply machine learning and AI techniques to solve complex supply chain use cases.Manage and mentor a team of 4 in-house Data Analysts.Collaborate with external consultants on backend system changes and O9 implementation.Translate analytical insights into actionable recommendations for business planning units.Ensure the robustness and scalability of all forecasting solutions.Requirements 5+ years of experience as a Data Scientist.Proven experience in leading and mentoring Data Scientists or Data Analysts.Strong Python proficiency.Solid background in predictive modeling, machine learning, and statistical analysis.Experience with supply chain analytics or time-series forecasting.Strong organizational and leadership skills to manage teams through change.Nice to have Knowledge of SQL for data extraction and manipulation.Prior experience in the consumer goods or beauty industry.Culture & Benefits Global omni-working policy allowing up to 50% remote work per month.Opportunity to work in a diverse, international team environment.Focus on professional development and coaching within the analytics function.Commitment to Diversity, Equity, and Inclusion initiatives.#J-*****-Ljbffr

Company A global leader in the beauty industry committed to innovation, diversity, and creating an inclusive workplace.What you will do Lead the improvement of forecasting algorithms and predictive models for demand planning.Apply machine learning and AI techniques to solve complex supply chain use cases.Manage and mentor a team of 4 in-house Data Analysts.Collaborate with external consultants on backend system changes and O9 implementation.Translate analytical insights into actionable recommendations for business planning units.Ensure the robustness and scalability of all forecasting solutions.Requirements 5+ years of experience as a Data Scientist.Proven experience in leading and mentoring Data Scientists or Data Analysts.Strong Python proficiency.Solid background in predictive modeling, machine learning, and statistical analysis.Experience with supply chain analytics or time-series forecasting.Strong organizational and leadership skills to manage teams through change.Nice to have Knowledge of SQL for data extraction and manipulation.Prior experience in the consumer goods or beauty industry.Culture & Benefits Global omni-working policy allowing up to 50% remote work per month.Opportunity to work in a diverse, international team environment.Focus on professional development and coaching within the analytics function.Commitment to Diversity, Equity, and Inclusion initiatives.