Data Scientist 4

Develop tools, metric measurement and assessment methods for performance management and predictive modeling. Develop dashboards for product management and executives to drive faster and better decision making Create accountability models for DPG-wide quality, I&W, inventory, product management KPI's and business operations. Improve DPG-wide quality, install and warranty, and inventory performance consistently from awareness, prioritization, and action through the availability of common data. Collaborate with quality, install, and warranty, and inventory program managers to analyze trends and patterns in data that drive required improvement in key performance indicators (KPIs) Foster growth and utility of Cost of Quality within the company through correlation of I&W data, ECOGS, identification of causal relationships for quality events and discovery of hidden costs throughout the network. Improve data utilization via AI and automation leading to real time resolution and speeding systemic action. Lead and/or advise on multiple projects simultaneously and demonstrate organizational, prioritization, and time management proficiencies. Bachelor's degree with 8+ years of experience; or master's degree with 5+ years' experience; or equivalent experience. Basic understand of AI and machine learning and ability to work with Data Scientist to use AI to solve complex challenging problems leading to efficiency and effectiveness improvements. Ability to define problem statements and objectives, development of analysis solution approach, execution of analysis. Basic knowledge of Lean Six Sigma processes, statistics, or quality systems experience. Ability to work on multiple problems simultaneously. Ability to present conclusions and recommendations to executive audiences. Ownership mindset to drive solutions and positive outcomes. Excellent communication and presentation skills with the ability to present to audiences at multiple levels in the Company. Willingness to adapt best practices via benchmarking. Experience in Semiconductor fabrication, Semiconductor Equipment Operations, or related industries is a plus. Demonstrated ability to change process and methodologies for capturing and interpreting data. Demonstrated success in using structured problem-solving methodologies and quality tools to solve complex problems. Knowledge of programming environments such as Python, R, Matlab, SQL or equivalent. Experience in structured problem-solving methodologies such as PDCA, DMAIC, 8D and quality tools. Our commitment 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 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. ‘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. ‘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.