Come join the E&G IT Modernization Group organization and play a key role in accelerating business transformation and the adoption of Intel data center technologies across the globe. The Enterprise Analytics Engineer/Data Scientist will assist business stakeholders with execution of Analytics and Ml/Dl projects mapping to Customer/Partner needs for delivery, showcase and referential purposes As the Analytics team is highly cross-functional, the candidate will need to tackle a diverse range of projects spanning various technologies, frameworks and Analytics/AI Solutions. The candidate will architect and engineer - Analytics ISVs and Startup Solution enablement on Intel Product Platforms encompassing Compute, Storage and Network plus facilitate engineering activities for customer enablement augmenting Intel Datacenter Product Sales.
Inside this Business Group
Qualifications: 6+ years of deep experience in Data analytics. High performance individual with demonstrated ability to manage extremely complex projects with tight deadline. Large scale Enterprise Analytics Project Execution and Experience - useful. An advance degree desired M.S. or Ph.D. in a relevant technical field Statistics, Mathematics, Decision Science, Operational Research, or Computer Science. Good Experience in Hadoop, Spark From Cloudera, Hortonworks, Databricks and Other Big Data Cluster Computing frameworks e.g. Flink. Strong proven experience applying various data analysis techniques using multiple data sources and relying on sound statistical methodology text mining, segmentation/clustering, predictive modeling, etc. In-depth understanding of machine learning and modeling algorithms such as decision trees, random forest, etc. Experience using one or more statistical analysis tools e.g., R, SAS, etc.. Advanced-level experience with programming languages e.g. Python, Java, Scale etc. Familiarity with ISV - Big Data Analytic Platforms, Startup Solutions, Visualization tools e.g. Tableau and Cloud based Analytics Solutions Familiar with Tier 1 ISV Analytics and Machine Learning offerings from SAP HANA, VORA etc. SAS, Microsoft, Oracle and IBM. Decent understanding of Cloud and Hyper-Converged Infrastructure, SDI, Containers and CSP Ecosystem from Amazon, Google and Microsoft. Good knowledge of Intel's Cloud and Analytics Product Portfolio will be very beneficial. Good understanding of Neural Networks CNN, RNN, LSTM etc. Good experience in Spark Ml and Deep Learning frameworks e.g. Tensorflow, MXNet, Caffe, Theono, Torch etc. Very Good Knowledge of NVIDIA's Deep Learning & AI Hardware and Solution Landscape + associated Software stacks. Overview knowledge of Ml/DL solution offerings from Cloud Service Providers and ISVs. Familiar with Intel's Traditional ML and Deep Learning Solution offerings across hardware and Software stack. Collaborative, team player who drives to resolving stakeholder needs. Ability to participate in discussions with stakeholders and articulately boil down complex analyses into digestible insights addressing business issues.
The Data Center Group (DCG) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.