We are seeking a skilled Data Scientist to support our BI & Analytics team supporting Global Operations and Finance by leveraging data science, analytics, and predictive modeling. The successful candidate will provide operational and financial insights into our logistics, procurement, forecasting, inventory management, and supplier performance to optimize efficiency, reduce costs, and enhance decision-making. 

Key Responsibilities: 

• Data Analysis & Modeling: 

• Analyze large datasets related to global operations and finance (e.g., inventory, forecast, spending, and logistics performance). 

• Develop predictive models to forecast demand, inventory levels, and procurement needs. 

• Use AI, statistical methods, machine learning algorithms, and simulation techniques to optimize supply chain performance. 

• Process Optimization: 

• Identify bottlenecks and inefficiencies in the supply chain, order management, logistics, and inventory balancing and recommend data-driven solutions. 

• Analyze operational workflows to improve processes and reduce operational costs. 

• Develop and implement dashboards to track key performance indicators (KPIs) and supply chain metrics in real-time. 

• Collaboration & Communication: 

• Work closely with cross-functional teams (procurement, supply/demand, finance, order management, logistics, manufacturing) to identify data needs and collaborate on problem-solving initiatives. 

• Present findings and actionable insights to stakeholders through reports and data visualizations. 

• Data Collection & Management: 

• Work with IT and data teams to ensure data integrity, streamline data pipelines, and enhance data storage solutions. 

• Design and maintain supply chain databases and data repositories to ensure continuous monitoring of performance metrics. 

• Risk Management & Forecasting: 

• Use data to assess and mitigate risks related to supply chain disruptions, supplier performance, and market changes. 

• Create simulation models to anticipate and prepare for potential supply chain challenges. 

Required Skills & Qualifications: 

• Bachelor’s or Master’s degree in Data Science, Supply Chain Management, Operations Research, Statistics, Mathematics, or a related field. 

• 3+ years of experience in data science, analytics, or a similar role (preferably in a supply chain or logistics setting). 

• Strong proficiency in programming languages (e.g., Python, R, SQL). 

• Experience with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (e.g., AWS, Google Cloud). 

• Familiarity with machine learning frameworks and predictive modeling. 

• Excellent problem-solving, analytical, and communication skills. 

• Ability to work in a fast-paced, cross-functional environment and manage multiple projects. 

Preferred Qualifications: 

• Experience with ERP systems (e.g., SAP, Oracle) and supply chain management software. 

• Advanced knowledge of inventory management, procurement, and logistics. 

• Experience with big data tools and technologies (e.g., Hadoop, Spark). 

• Understanding of AI and its potential applications in solving business problems. 

• Knowledge of supply chain best practices and industry standards.