Operations Data Science and Analytics

The Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.

Join Lam as an Operations Business Analyst, where you'll spearhead process improvement initiatives. With your data expertise, you collect and analyze data through a range of Business Intelligence (BI) tools and apps, develop metrics, and identify root causes with data-driven indicators for future improvements. Organizing cross-functional project teams, you communicate team progress and survey best practices, showcasing your commitment to operational excellence at Lam.

As a Data Science & Analytics Analyst Lead in the Global Operations organization at Lam Research, you will be responsible for implementing Data Science and Analytics solutions to support decision-making and scaling operations. You will work directly with various business units within Global Operations to help them solve their business problems and opportunities, develop business requirement documentation, and formulate proof of concepts where back testing is applied, in collaboration with data architecture, business units, and development teams. You will also work with application and business development teams in the design of complex solutions and ensure that they align with the COE data principles, standards, and strategies.

• Lead data science and analytics strategic plans, supporting the development of enterprise data and analytics initiatives for the Global Operations organization in alignment with Lam’s Analytics guidelines.
• Manage, plan, and organize the overall data science, architecture, and analytics programs with activities aligned with the mission, vision, and goals of the business.
• Develop scalable business processes, data science initiatives, and analytic programs to support quantifiable business objectives and goals.
• Continuous Improvement mindset leveraging lean agile development methodologies and deploying advanced analytics solutions.
• Develop and maintain professional relationships at all levels; manage high-level customer relations; communicate and collaborate with business partners.
• Lead and coordinate activities to ensure transparency and deliverables are being met.

• Minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years of experience; or equivalent experience.
• Experience building AI/ML solutions, Data Science, Engineering, and Analytics Strategy for various business units in Global Operations.
• Proficiency in SQL to extract information from various data warehouses including Data Factory, Data Fabric, Synapse, SAP HANA, ABAP, SQL Server.
• Knowledge of SAP ECC/S4 or other ERP systems including Material and Vendor Master, Purchasing, MRP, Order Management, BOM, Logistics, Spares, and Warehouse.
• Expert understanding of AI/ML & statistics, with tools like Python, R, PowerBI, MS Excel, SQL Data models or similar tools that can help drive actionable insights within data quality guidelines.
• Ability to present ideas and storytelling with data to decision/policy makers or a large audience.
• Develop meaningful metrics in support of enterprise and line of business strategies.
• Create clear and concise reports in a variety of formats (PDF, Word, PowerBI/BI tool, etc.).

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices, and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth, and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. In ‘On-site Flex,’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. In ‘Virtual Flex,’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.