Job DescriptionThe responsibilities for this job will include but not limited to:-Develops algorithms and applications, performs large scale experimentation, builds data driven apps to translate data into intelligence, and develops solutions for solving business problems using coding.Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.-Organizes, interprets and structures insights from data, detects data anomalies and makes corrections.-Performs descriptive statistical analysis, develops visualizations, applications, dashboards, or presentations and communicates insights in a clear and effective way to help the organization with better decisionmaking.-Supports troubleshooting service offerings using proprietary analytical platforms, commercial tools and custom scripts.-Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports product development efforts as required.-Develops and programs methods, processes, and systems to consolidate and analyze diverse big data sources, establishing standard methodologies for data science including modeling, coding, analytics, and experimentation.-Explores, compiles, and collects data from new or known sources, sometimes in partnership with technical staff/engineers to derive useful insights and/or make predictions.-Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution across clients.QualificationsMinimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.Minimum Qualifications:PhD degree in Computer Science, Statistics, or related field.3+ Months of Experience in AIML or Data Science (Intel experience preferred)3+ months of experience in:PythonPowerBIJS and TSDatabase developmentGitHub based code developmentDeployment of web applicationsPreferred Qualifications:Intel specific problems like Image Recognitionor Metamodeling of Intel datasetsRequirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.Inside this Business GroupAs the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth.Other LocationsUS, PhoenixPosting StatementAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)Annual Salary Range for jobs which could be performed in the US $123,419.00-$185,123.00Salary range dependent on a number of factors including location and experienceWorking ModelThis role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change
