Scientist 3, Data Science

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon.

We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.

Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too.

We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands.

Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.

As a Data Scientist, you will lead digital transformation initiatives in supply chain and procurement areas, work closely with business leaders, operations teams, and IT stakeholders, develop and deploy advanced analytics solutions to enhance supply chain efficiency, forecast demand, optimize inventory, and automate decision-making. You will also drive program execution, ensuring that insights and automation solutions are seamlessly integrated into business operations. This role requires strong analytical expertise, strategic thinking, and program management skills.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Demand Forecasting & Planning

• 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).

Supply Chain Process Automation & Optimization

• 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.

Intelligent Decision Support & AI Governance

• 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

Program Management & Stakeholder Engagement

• 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.

REQUIRED:

• 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.

PREFERED: 

• 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).

SKILLS:

• Strong expertise in Python, R, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with time-series forecasting (ARIMA, LSTM, Prophet, XGBoost, etc.).
• Expertise in optimization algorithms (linear programming, heuristic methods, reinforcement learning).
• Experience working with ERP, SCM, and logistics systems (SAP, Oracle etc.).
• Strong understanding of supply chain KPIs, network design, and logistics processes.
• Ability to translate complex data insights into business impact.
• Strong communication and collaboration skills with cross-functional teams.

#LI-SW1

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.

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Notice To Candidates: 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 [email protected].