Description
Are you passionate about using cutting-edge data science to solve complex problems? This opportunity allows you to make a real impact on a global company’s success by joining a dynamic team as a PhD Data Scientist specializing in supply chain optimization. You will collaborate with key players across departments to develop groundbreaking analytics solutions that drive significant results for the organization.
Responsibilities
- Design and optimize supply chain networks for peak efficiency, enhancing resilience and cost-effectiveness.
- Master inventory strategy using advanced techniques to optimize stock levels and ensure exceptional service delivery.
- Conduct simulations and scenario planning to assess the impact of different strategies and disruptions.
- Leverage geospatial analysis to identify optimal routes and locations within the supply chain.
- Perform analyses to mitigate potential risks and identify areas for improvement.
- Dive deep into complex datasets to extract valuable insights that fuel optimization models.
- Partner closely with cross-functional teams to identify challenges and develop data-driven solutions.
- Stay updated on the latest trends and technologies in supply chain management and data science.
Qualifications
- PhD in Operations Research, Industrial Engineering, Supply Chain Management, or a related field (recent graduates welcome).
- Experience in tackling complex supply chain problems using mathematical modeling, optimization, and simulations.
- Proficiency in handling large datasets using SQL, Hadoop, Spark, NoSQL databases, and more.
- Coding skills in Python, R, or similar languages for data analysis and model development.
- Ability to quickly learn new tools and technologies, including data visualization platforms and cloud solutions.
- Excellent communication and interpersonal skills for effective collaboration with diverse teams.
- Critical thinking skills and a strong desire to solve real-world problems with tangible impact.
If you are ready to join a team that is passionate about innovation and making a difference, we encourage you to apply today!
Employment Type: Full-Time