Remote Senior Industrial Engineer - Advanced Analytics Lead

Our client, a global leader in supply chain solutions, is expanding its innovative analytics division and seeking a Remote Senior Industrial Engineer with a specialization in Advanced Analytics. This is a fully remote position, offering the opportunity to lead groundbreaking projects focused on leveraging data to drive significant operational improvements across their vast network. You will be instrumental in developing and deploying sophisticated analytical models, predictive algorithms, and data visualization tools to uncover insights and optimize complex logistical processes.

The ideal candidate possesses a strong foundation in industrial engineering principles combined with deep expertise in data science, statistical modeling, and relevant analytical software. Join a forward-thinking team that is revolutionizing the industry through data-driven decision-making.

• Develop and implement advanced analytical models to optimize supply chain operations, including demand forecasting, inventory management, and network design.
• Lead the design and application of statistical analysis, machine learning algorithms, and predictive modeling techniques.
• Create compelling data visualizations and dashboards to communicate complex findings and insights to stakeholders at all levels.
• Collaborate with cross-functional teams to identify data sources, define project requirements, and integrate analytical solutions into existing operational systems.
• Mentor and guide junior analysts and engineers in the application of analytical techniques and tools.
• Stay current with the latest advancements in data science, machine learning, and industrial engineering relevant to logistics and operations.
• Drive continuous improvement by identifying opportunities for enhanced data collection, analysis, and reporting.
• Ensure the accuracy, integrity, and reliability of data used for analysis and decision-making.
• Present findings and recommendations to senior leadership, influencing strategic business decisions.

• Master's degree or PhD in Industrial Engineering, Data Science, Statistics, Operations Research, or a related quantitative field.
• A minimum of 7 years of progressive experience in industrial engineering, with a strong emphasis on advanced analytics, data modeling, and statistical analysis.
• Proven expertise in statistical software (e.g., R, Python with libraries like Pandas, Num Py, Sci Py), SQL, and data visualization tools (e.g., Tableau, Power BI).
• Experience with machine learning frameworks (e.g., Scikit-learn, Tensor Flow, PyTorch) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable.
• Strong understanding of supply chain and logistics operations.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Excellent communication and presentation skills, with the ability to translate complex data into actionable business insights.
• Demonstrated ability to work independently and lead projects effectively in a remote setting.

This fully remote role offers unparalleled flexibility and the opportunity to work from anywhere. Our client provides a highly competitive salary, significant performance-based bonuses, and an excellent benefits package including comprehensive health insurance and a generous retirement fund contribution. The company is committed to employee growth, offering substantial resources for professional development, including access to cutting-edge online learning platforms, workshops, and conferences.

You'll be part of a dynamic, innovative, and globally connected team, working on challenging projects that define the future of logistics.