Data Scientist

Who We AreApplied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. What We OfferSalary:$119,500.00 - $164,500.00Location:Santa Clara,CAYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. Job DescriptionBe a part of internal consulting team with high visibility to Applied Global Services executive leadership. Lead strategic projects to streamline business processes, improve supply chain and operations, reduce costs, and improve business performance. Have responsibility for complete project life cycle starting with analysis of the as-is process, identification and quantification of the opportunities, development of improvement streams, securing buy-in from stakeholders, and driving implementation.High impact role that requires relentless change management motivation rewarded with material impact to business unit performance. Opportunity to impact a $6B business with thousands of field engineers, complex global logistics network, and a wide range of products and services.Key ResponsibilitiesStructure and break down complex business problems, develop hypothesis, drive analysis and deliver recommendations in a data-driven mannerLead thoughtful and rigorous analysis across large data sets and synthesize insights and opportunitiesWork collaboratively across a cross-functional set of stakeholders to gather the right information, pressure test your hypothesis, co-create deliverables, accelerate execution and unlock valueOptimize operations and business processes to improve performance, reduce cycle time, and shrink costsCollect data from multiple sources, filter anomalies, and clean unstructured data to ensure accuracyUse statistical data analysis and tools to identify, analyze, and interpret patterns and trends in complex data sets and build diagnosis and prediction modelsDevise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for accuracy and efficacyCreate effective Power BI based mockups, prototype, reports, and applications utilizing best practicesCommunicate analytic solutions to stakeholders and implement improvements as needed to operationalize systemsCreate Training Materials and administer end-user training using generative AI models and tools.Design, develop and deploy interactive data visualizations using Power BIMaintain data systems and assist in developing automated processes for continuous data collection.Key RequirementsBroad understanding and experience including logistics, financial reporting, purchasing, and service business management.Strong analytical skills – able to extract real insight from multiple data sourcesExperience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.Knowledge of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their applicationsKnowledge of advanced statistical techniques and concepts (regression, distributions, statistical tests, etc.) and experience with applications of these techniques.Excellent oral and written communication, organizational, analytical, and interpersonal skillsAble to work effectively in a matrix environment and influence othersDetail oriented, able to connect the dots and communicate complex ideas effectivelyKnowledge of business intelligence tools such as Power BI. Experience of creating interactive dashboard with business intelligence tools such as Power BIEducation:· Industrial Engineering, Computer Science, Data Science, Business Analytics or equivalent bachelor’s degree·Experience:· 4 years relevant work experience, preferably in the Semiconductor industry or consultingAdditional InformationTime Type:Full timeEmployee Type:Assignee / RegularTravel:Yes, 25% of the TimeRelocation Eligible:YesThe salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at View email address on click.appcast.io, or by calling our HR Direct Help Line at View phone number on click.appcast.io, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.SummaryLocation: Santa Clara,CAType: Full time