Data Scientist Demand Planning (Supply Chain)

TL;DR

Data Scientist Demand Planning (Supply Chain): Leading forecasting and data science capabilities for hirify.global’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.