Description
Are you passionate about revolutionizing supply chains with cutting-edge data science? Join an innovative team where we push the boundaries of technology and make what seems impossible, possible. We're at the forefront of the data storage industry, partnering with major organizations to enhance everything from gaming platforms to data centers.
We're looking for a recent PhD graduate in data science or a related field who is eager to dive into the world of supply chain analytics. In this role, you’ll collaborate with our Supply Chain, Procurement, and Logistics teams to develop advanced analytics solutions that drive substantial improvements across our operations. If you’re excited about using your expertise to tackle complex challenges and make a real impact, this is the role for you.
What You'll Do
- Optimize Supply Chains: Design and enhance supply chain network models to boost efficiency, resilience, and cost-effectiveness.
- Inventory Strategy: Use advanced mathematical techniques to optimize inventory systems, including safety stock estimation and service level optimization.
- Scenario Planning: Run simulations to assess the impact of various strategies and disruptions on the supply chain.
- Geospatial Analysis: Apply geospatial analysis to refine supply chain routes and locations.
- Risk Management: Conduct risk analysis to identify and address potential issues such as stockouts and overstocking.
- Data Analysis: Handle and analyze large datasets to extract insights and support optimization efforts.
- Collaborate: Work with cross-functional teams to understand business challenges and develop data-driven solutions.
- Innovate: Stay updated on the latest trends and technologies in supply chain management and data science to drive continuous improvement.
What We're Looking For
- Educational Background: PhD in Operations Research, Industrial Engineering, Supply Chain Management, or a related field. Recent graduates and post-docs are encouraged to apply.
- Experience: Research experience in solving complex supply chain problems with mathematical modeling and optimization.
- Technical Skills: Proficiency in handling large datasets with tools such as SQL, Hadoop, Spark, and NoSQL databases. Strong skills in Python, R, or similar programming languages.
- Machine Learning: Familiarity with or willingness to learn machine learning, deep learning, and generative AI techniques.
- Tools & Technologies: Experience with data visualization tools (e.g., Power BI, Spotfire) and cloud platforms (e.g., Oracle Cloud, AWS, GCP).
- Communication: Excellent interpersonal skills and the ability to present complex data-driven insights to non-technical stakeholders.
- Problem-Solving: Strong critical thinking skills and a passion for solving real-world problems.
Why Join Us?
- Impactful Work: Make a significant difference in a leading data storage company.
- Flexible Environment: Work from our San Jose office or remotely, depending on your preference.
- Comprehensive Benefits: Enjoy a range of benefits including medical, dental, vision, retirement plans, and more.
- Growth Opportunities: Access to continuous learning and professional development in a cutting-edge field.
Apply Today!
Ready to apply your PhD expertise to revolutionize supply chains? We're excited to hear from you! Apply now and take the next step in your data science career with us.
Employment Type: Full-Time