Workforce Management focusing on all aspects of labor management, ensuring that operations are sufficiently staffed to deliver the company’s Guest service standards. Responsibilities of this area include forecasting, workload, headcount planning, scheduling, deployment, pay and reporting. The goal of the team is to excel at exceeding expectations of our Walt Disney World Cast who request support through a Call Center environment, receiving ~54k phone calls and ~85k emails/portal requests each year. Responsibilities: Providing support for the management of 30+ processes necessary to adequately support the Labor Attendance and Time Team components of the Labor Service Center and 90+ audits to correct various system defects and ensure compliance with policy, contracts, and law Interacting with various department Cast and Leaders to develop process improvements for this operation Assisting with testing new enhancements to systems prior to implementation to ensure proper functionality Assisting with developing and maintaining system and process documentation Partnering with appropriate Employee Relations, Labor Relations, Human Resource, Finance, Compensation, DWSS Payroll, Global HR Ops and Information Technology teams as required Basic Qualifications: Proficient in Microsoft Office Applications Experience with databases and spreadsheets (Ex. Microsoft SQL Server 2012 or later, Access, Excel) Either: Analytical skills with the ability to analyze data and translate for clients OR Web Development skills with the ability to write HTML,CSS, and JavaScript Ability to work independently and in a team environment, while handling multiple tasks and confidential information with strong communication skills Preferred Qualifications: Experience with Walt Disney World Labor Systems such as CDS, Cast Link, Extra Hours Hotline and Workbrain Experience in web application frameworks including ASP.NET, Vue.js, Angular, Django, or Zend framework Experience with object-oriented or interpreted languages such as C#, Java, and Python Proficiency in SAP and Service Center Disney College Program Alumni Required Education: Currently enrolled as a Junior, or Senior in a four-year Industrial Engineering, Computer Science, Management Information Systems, Information Technology, Computer Engineering or related program Internship Eligibility: Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship Not have already completed two consecutive (spring/fall) College or Professional Internship Programs Must be at least 18 years of age Must possess unrestricted work authorization Must possess a valid US driver’s license Must provide full work availability. The approximate dates of this internship are January to June 2019 Must provide own transportation to/from work Must provide a valid current U.S. driver's license Current Active Disney Cast Members must meet Professional Internship transfer guidelines (for Walt Disney World Cast Members this is no more than four points and one reprimand in the last six months; for Disneyland Cast Members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months  

Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance. What will I be doing? The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners. Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. You will be an ambassador bringing values of big data to fruition and serving as the primary resource for building advanced analytics models for Hilton's customer initiatives, including but not limited to propensity modeling, customer centric pricing, loyalty, user experience, next best action, search optimization, direct marketing, and Internet of Things (IoT - connected room) initiatives. More specifically, you will: Work closely with business and technical teams to capture, analyze and understand business requirements, translating activities and business objectives into parameters for analytical models. Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment. Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed, and identifying improvement opportunities for the data ingestion process. Perform analysis on existing data, suggest new potential data sets to identify and foster innovative advanced analytics opportunities. Facilitate and identify repeatable testing strategies for measuring results produced by analytics models. What are we looking for? We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills: Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities Effective communicator, collaborator, influencer and solution seeker across a variety of opinions Self-starter, detail-oriented and assertive team player, willing to take ownership of responsibilities, and possess a high level of integrity and positive attitude preferred To fulfill this role successfully, you must possess the following minimum qualifications and experience: BA/BS Bachelor's Degree Three (3) years of professional experience Two (2) years of hands-on experience in designing and implementing real-time statistical models and machine learning algorithms for scalable production environments One (1) year of experience in a full life-cycle analytics model environment, including development, deployment and maintenance efforts Exceptional problem solving capabilities, including analytical, quantitative and statistical skills Solid experience with programming skills: R, Python, Spark/Scala, Java, C/C++ and SQL It would be advantageous in this position for you to demonstrate the following capabilities and distinctions: MA/MS Master's Degree Two (2) years of hands-on experience in optimization, artificial intelligence, natural language processing, and/or deep learning Two (2) years of hands-on experience working on projects related to Personalization, Sales and Marketing, Customer Analytics, Digital Analytics, and/or Loyalty Exposure to IoT technology Knowledge of data structure and management, Business Intelligence (BI) and dashboard reporting in a big data environment What will it be like to work for Hilton? Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all! EOE/AA/Disabled/Veterans

The Boeing Company is seeking a talented and highly motivated artificial intelligence professional with software deployment experience to assist in the design, development, and deployment of intelligent systems, autonomous systems, and other advanced AI systems. A successful candidate will become part of the growing AI organization in Huntsville, Alabama, which is part of Boeing Research & Technology - the central R&D arm of Boeing. The ideal candidate will have experience and interest in machine learning, computer vision, natural language processing, reasoning and inference, planning and scheduling, and knowledge representation. A successful candidate will be able to work in the dynamic and distributed BR&T environment. An employee will typically work on multi-year projects that end with capability transitions including production environments. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Boeing Business Unit. An employee will work on a small project team where the knowledge and abilities of each person is important. The work is often simply described and the employee needs to be self-directed to organize and perform the work. Collaboration with others is crucial to successful project performance as is good communication with the project manager, principle investigator, and sponsor. An employee is typically hands-on, likes to figure things out, enjoys learning new things, and is good at applying what they have learned. Responsibilities: The engineer will have extensive experience in software programming and deployment. Programming skills in languages such as Python, Java, C, C++, MATLAB, and R are necessary. The ideal candidate will have knowledge and experience with different AI approaches and techniques. Understand the cost and benefits of deploying algorithms in production environments. The types of algorithmic solutions should span across different types of data ranging from numeric, images, video, and textual (structured or unstructured) collected from domains such as autonomy, data analytics, design, platform performance and operations, robotics, safety, services, and C4ISR. Will have the skills and experience to design, apply, and create new algorithms, methods, and tools for the analysis of data to address project requirements. Evaluate the performance of data analysis algorithms as well as general ability to select and apply algorithms to meet application requirements with respect to scalability. Identify internal and external customers/sponsors, seeking opportunities to solve their analytics problems. Work with customers to help formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary. Present results to the customers and lead transition of prototype tools to them as well. Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world. Division Engineering Test and Tech Relocation Assistance Available No. Relocation assistance is not a negotiable benefit. Qualifications Basic Qualifications (Required): This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee. Experience with applying deep learning for object recognition, scene classification, and scene segmentation. Experience with major deep learning framework such as Keras, Caffe, CNTK, Theano, Torch, and Tensorflow. Experience with deploying deep learning models to production relevant environments. Experience with high level programming languages such as C, C++, C#, Java, and Python. Experience with designing, implementing, training, evaluating, and optimizing algorithms based on state-of-the-art machine learning techniques. Assets (Preferred): Experience with machine learning is highly desirable. Experience with cloud computing. Experience with GPUs. Background in SLAM, 3D reconstruction, and motion planning, path planning. Typical Education / Experience: Degree and typical experience in engineering classification: Bachelor's and 5 or more years' experience, Master's degree with experience or PhD degree with experience. Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry. ABET is the preferred, although not required, accreditation standard. Experience Level Individual Contributor Job Type Standard Travel Yes, 10 % of the Time Contingent Upon Program Award No Union No Job Code 6J7BP2