Responsibilities
- Develop predictive demand forecasting models using time-series analysis, ML, and deep learning.
- Improve forecast accuracy by integrating external data sources (macroeconomic trends, supplier risks).
- Design and deploy robotic process automation (RPA) tools across supply chain and procurement processes.
- Build end-to-end data streaming system for visualization.
- Leverage optimization algorithms for procurement, supplier selection, and sourcing strategies.
- Automate supply risk prediction models to proactively mitigate disruptions.
- Optimize transportation networks, warehouse operations, and route planning using ML-based models.
- Implement AI-driven cost and sustainability optimization models.
- Build AI-powered decision support systems for supply chain leaders.
- Establish explainable AI frameworks to ensure transparency in supply chain decision-making.
- Communicate data-driven recommendations to business and executive stakeholders via dashboards and reports
- Lead cross-functional programs to drive AI and automation adoption in supply chain processes.
- Manage project timelines, resource allocation, and risk mitigation for AI/ML-driven supply chain initiatives.
- Drive change management and process adoption strategies to ensure successful deployment of AI solutions.
Requirements
- Bachelor’s degree in computer science, data science, AI/ML, supply chain analytics, or a closely related field. A master’s degree is highly desirable.
- A minimum of 5 years of relevant industry experience in analytics/data science.
Nice to Have
- Experience in GenAI for supply chain (LLMs for process automation, NLP for contract analysis).
- Knowledge of IoT & digital twins for real-time supply chain visibility.
- Full stack development experience is preferred.
- Familiarity with a CI/CD pipeline.
- Experience with containerization technologies, such as Docker, and orchestration with Kubernetes.
- Familiarity with code versioning tools, such as Git.
- Experience with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Databricks, Snowflake).
Additional Information
- WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
- WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
- Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com.
