Western Digital is looking for a Data Scientist to lead our digital transformation initiatives in supply chain and procurement. At WD, we thrive on the power and potential of diversity and are committed to an inclusive environment. You will develop and deploy advanced analytics solutions to enhance efficiency, forecast demand, optimize inventory, and automate decision-making.
What You'll Do
- Develop predictive demand forecasting models using time-series analysis, ML, and deep learning.
- Improve forecast accuracy by integrating external data sources like macroeconomic trends and supplier risks.
- Design and deploy robotic process automation (RPA) tools across supply chain and procurement processes.
- Build end-to-end data streaming systems 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.
What We're Looking For
- Bachelor’s degree in computer science, data science, AI/ML, supply chain analytics, or a closely related field.
- A minimum of 5 years of relevant industry experience in analytics or data science.
Nice to Have
- Master’s degree is highly desirable.
- 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).
Technical Stack
- Languages: Python, R, SQL
- ML Frameworks: TensorFlow, PyTorch, Scikit-learn
- Time-series Forecasting: ARIMA, LSTM, Prophet, XGBoost
- Optimization Algorithms: linear programming, heuristic methods, reinforcement learning
- ERP, SCM, & Logistics Systems: SAP, Oracle, etc.
- Cloud Platforms: AWS, GCP, Azure
- Big Data Tools: Spark, Databricks, Snowflake
Western Digital is an equal opportunity employer committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution.
