Ph3Position: Global Data Scientist /h3h3Location: Milan, Italy /h3h3About the Role /h3pWe are seeking an experienced Global Data Scientist to join a high-performing Product Analytics team comprising Data Scientists, Machine Learning Engineers, and Product Managers. /ppIn this role, you will provide hands‑on technical leadership and develop production‑grade machine learning solutions that directly impact key business areas including assortment optimization, supply chain performance, promotion effectiveness, and pricing strategy. Your work will influence commercial decisions across thousands of locations worldwide, driving measurable business value and revenue growth. /ph3Key Responsibilities /h3ulliDesign, develop, deploy, and maintain production‑grade machine learning models and analytical solutions. /liliLead data science initiatives focused on: /liliAssortment Optimization /liliSupply Chain Analytics /liliPromotion Incrementality Measurement /liliPricing Revenue Optimization /liliYield Management /liliApply advanced statistical techniques and causal inference methodologies to solve complex business problems. /liliPartner closely with Product Managers, ML Engineers, and business stakeholders to translate business challenges into scalable data solutions. /liliBuild robust experimentation frameworks and measurement methodologies to evaluate business impact. /liliDevelop predictive and prescriptive models that improve operational efficiency, customer value, and profitability. /liliDrive best practices in model development, deployment, monitoring, and governance. /liliCommunicate insights and recommendations effectively to both technical and non‑technical audiences. /liliMentor junior team members and contribute to the growth of the data science function. /li /ulh3Required Qualifications /h3ulliBachelor's, Master's, or equivalent degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Operations Research, Engineering, or a related quantitative discipline. /lili6+ years of professional experience in Data Science with a strong track record of delivering business impact. /liliProven experience in one or more of the following domains: /liliSupply Chain Analytics /liliRevenue Management /liliYield Optimization /liliPricing Analytics /liliCommercial Optimization /liliExpert‑level proficiency in Python and SQL. /liliStrong knowledge of machine learning algorithms, statistical modeling, and predictive analytics. /liliHands‑on experience deploying and managing machine learning models in production environments. /liliDeep understanding of causal inference, experimentation, and impact measurement methodologies. /liliExperience working with large‑scale datasets and cloud‑based data platforms. /liliStrong problem‑solving skills with the ability to balance commercial objectives, customer value, and operational constraints. /li /ulh3Preferred Qualifications /h3ulliPhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics, or another quantitative field. /liliExperience with modern ML engineering practices, MLOps, model monitoring, and deployment pipelines. /liliExposure to retail, consumer goods, e‑commerce, travel, or related industries. /liliExperience working in global, cross‑functional environments. /li /ulh3Key Competencies /h3ulliCommercial acumen with a strong understanding of the trade‑offs between margin, volume, customer value, and business growth. /liliStrategic thinking combined with hands‑on technical execution. /liliStrong stakeholder management and communication skills. /liliAbility to thrive in a fast‑paced, data‑driven environment. /liliPassion for leveraging advanced analytics and machine learning to solve real‑world business challenges. /li /ulh3What You’ll Bring /h3ulliA data‑driven mindset with strong business orientation. /liliExcellent analytical and problem‑solving capabilities. /liliThe ability to influence decisions through insights and evidence‑based recommendations. /liliA collaborative approach to working across product, engineering, and business teams. /liliA passion for building scalable machine learning solutions that deliver measurable commercial impact. /li /ul /p #J-18808-Ljbffr