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The INFORMS Information Systems Society seeks to foster, promote, and disseminate research on the use and impact of information technology in organizations. It provides a forum for researchers and practitioners in information systems to interact and further their interests in the area. One of the goals of the society is to encourage interdisciplinary research by leveraging connections between other societies and colleges within the INFORMS environment.

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  • Dallas, Texas, Process Assurance Senior Associate (Multiple Positions), PricewaterhouseCoopers LLP, Dallas, TX. Work with clients to enhance internal audit functions by applying Enterprise Risk Management concepts to identify, assess, mitigate, and proactively consider emerging risks. Increase value and reduce costs of compliance related activities. Reduce company costs through strategic internal audit outsourcing and co-sourcing solutions. Conduct technical IT controls reviews, including database, operating system, data warehouse and reporting tools. Assisting clients in leveraging technology investments to help establish, optimize, and sustain a real-time controls environment at an enterprise level. Demonstrate in-depth technical expertise. Pursue business development opportunities. Establish and maintain client relationships, and understand business needs and common industry issues facing clients. Supervise employees with varied skillsets and diverse backgrounds.   40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.   MINIMUM REQUIREMENTS :   Must have a Bachelor’s degree or foreign equivalent in Accounting, Business Administration, Finance, Computer Science, Engineering, or a related field, plus three (3) years of related work experience; OR a Master’s degree or foreign equivalent in Accounting, Business Administration, Finance, Computer Science, Engineering, or a related field, plus one (1) year of related experience.   Must have at least one year of experience with each of the following:   -      Working in the areas of IT auditing, consulting and/or implementing related to business process and IT management controls;   -      Leading IT related controls assurance or controls readiness projects associated with external audits, internal audits and service organization controls report;   -      Implementing COSO framework, CoBIT, ITIL or IT control frameworks;   -      Leveraging current and emerging technologies, such as: Oracle Database, SAP, Oracle, web development tools, virtualization, UNIX, Linux, and security technologies; and   -      Managing and coaching staff as they perform assessments to evaluate controls, security, SOD, and execute audit procedures.   Travel up to 60% required.   Please apply by mail, referencing Job Code TX3188 , Attn: HR SSC/Talent Management, 4040 West Boy Scout Boulevard, Tampa, FL 33607.
  • Baltimore, Maryland, The Johns Hopkins University Whiting School of Engineering, Department of Applied Mathematics and Statistics, invites applications for a tenured or tenure-track faculty position.  The successful candidate is expected to conduct fundamental research in mathematical, statistical, and/or computational aspects of data science.  Outstanding candidates at all academic ranks will be considered.  Candidates must hold a Ph.D. in Applied Mathematics, Statistics, or related fields, and will be expected to establish a strong, independent, multidisciplinary, and internationally recognized research program.  Commitment to teaching excellence at the undergraduate and graduate levels is required. Opportunities for interactions across the University include: the Mathematical Institute for Data Science, the Center for Imaging Science, the Center for Language and Speech Processing, the Laboratory for Computational Sensing and Robotics, the Institute for Data Intensive Engineering and Science, the Institute for Computational Medicine, the Malone Center for Engineering in Healthcare, the Institute for Assured Autonomy, the Johns Hopkins Applied Physics Laboratory, the Johns Hopkins School of Medicine, the Krieger School of Arts and Sciences, and the Bloomberg School of Public Health. All applicants should submit their application online at  https://apply.interfolio.com/97829 Electronic applications should include a cover letter describing the principal expertise of the applicant, a statement of teaching interests, a statement of research interests, a diversity statement, a complete resume, and a publication list. Applications at the Assistant Professor level should also include at least three reference letters. Applications at the Associate or Full Professor levels should not include reference letters or names at this stage. Diversity, equity and inclusion are integral values of the Department and University. Accordingly, the Department seeks candidates who can contribute to racial equity, diversity, and inclusion through service, mentorship, teaching, and scholarship. Applications will be reviewed starting December 1, 2021 and will be accepted until the position is filled. Online interviews will be conducted in early 2022. The Johns Hopkins University is an equal opportunity/affirmative action employer that actively encourages interest from minorities and women and is committed to recruiting, supporting, and fostering a diverse community of outstanding faculty, staff, and students.  All applicants who share this goal are encouraged to apply. The Johns Hopkins University is an EEO/AA employer.  
  • MClean, Virginia, *** This position is for McLean, VA or Dallas, TX *** The Analytics team serves as internal consultants to key functions across the business, including Hilton’s brands, development, customer, marketing, digital, revenue, and sales organizations with specialized support for the executive leadership team. The team is fully integrated within the business functions to ensure close partnerships and to more effectively measure and drive company performance consisting of domain professionals who serve as strategic advisors to key partners. 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 Data Science, Machine Learning (ML), and Artificial Intelligence (AI). You will be an ambassador bringing values of big data to fruition and serving as the main resource for building sophisticated analytics models for Hilton’s groundbreaking data science initiatives! More specifically, you will: Collaborate with business and technical teams to collect, analyze enhance and understand business requirements, translating activities and business goals into researching, selecting, and building data science models and algorithms Partner with other functional teams to access data elements, understanding the data being analyzed, and identifying improvement opportunities for the data ingestion process Design, improve, document, develop, code, and test sophisticated analytical prototype models in a big-data environment Solve practical data science problems in creative and novel ways, and operate with significant autonomy Provide technical advice to other team members and senior management, and lead model development of data science projects What are we looking for? We seek problem-solvers who are passionate about data science and strive for opportunities to build or improve data science algorithms and models. We believe the success in this role will demonstrate itself through the following attributes and skills: Self-starter, well organized, accountable and a confident teammate willing to take ownership of responsibilities with a high level of positive energy and drive Ambitious, forward-thinking individuals who have a real passion for delivering a highly positive customer experience A dedicated work demeanor that exhibits flexibility, drive, and dependability A high level of accountability and commitment to solving problems through critical thinking Experience managing large datasets, diving into data to discover patterns, using data visualization tools, and create robust models To fulfill this role successfully, you should demonstrate the following minimum qualifications: Ten (10) years of professional or educational research experience in technical field Eight (8) years research within fields such as Machine Learning algorithms and statistical analysis for large datasets Eight (8) years building and implementing advanced analytical models in data science Five (5) years using specialized modeling techniques such as hypothesis testing, regression analysis, time series models, maximum likelihood estimation, Bayesian inference, simulation, clustering, tree-based methods, Neural Nets etc. Five (5) years experience on a high performing team in a production environment. Advanced programming skills in SQL and Python, and proficient with common data science Python packages (including Pandas, SciPy, Scikit-learn etc.) It would be useful in this position for you to demonstrate the following capabilities and distinctions: Ph.D Degree in Data Science, Computer Science, Statistics, Industrial Engineering or other data-intensive fields Twelve (12)+ years of professional or educational research experience in technical field Ten (10) years of experience with building and implementing analytical models in data science Hands-on experience with research and development in marketing research, loyalty program and customer engagement of the hospitality industry In-depth knowledge of both theory and practice of modern forecasting models, recommendation system, and natural language processing (NLP) Proficient with tools for probabilistic methods such as Stan or TensorFlow Probability Publications or presentations in top research journals or conferences Deep understanding of the big-data platforms, cloud service providers related ecosystems such as Apache Spark, Amazon Sagemaker, or similar frameworks What is it like working for Hilton? The future of hospitality is bright at  Hilton : a leading global hospitality company with a diverse portfolio of  world-class brands . Dedicated to filling the earth with the light and warmth of hospitality, we have welcomed more than 3 billion guests in our more than 100-year history. Hilton is proud to have an award-winning workplace culture, and we are consistently named among one of the World’s Best Workplaces. We support the mental and physical wellbeing of all Team Members, so they can Thrive, thanks to innovative  programs and benefits  such as workplace flexibility, career growth and development, and our Go Hilton travel discount program. Hilton prioritizes understanding and integrating our Team Members’ unique perspectives and voices—along with those of our Guests, Owners, Suppliers, and Partners—to cultivate a  diverse and inclusive  environment for all. Check out the  Hilton Careers blog  and  Instagram  to learn more about what it’s like to be on Team Hilton!  We are an equal opportunity employer and value diversity at our company. We will ensure that qualified individuals with protected disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions of his or her role, and to receive other benefits and privileges of employment. Please contact us to request accommodation. EOE/AA/Disabled/Veteran (Please search for job number COR011Q0 at jobs.hilton.com to apply if the job application link doesn't work)
  • Riverwoods, Illinois, At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career. Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Responsibilities Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization. Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development. At a minimum, here’s what we need from you: Bachelor’s Degree in Computer Science, Economics, Engineering, Sciences or related field 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field Preferred Qualifications If we had our say, we’d also look for: Master’s Degree in Business, Computer Science, Engineering, Mathematics, Sciences or related field 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field What are you waiting for? Apply today! And by the way, while you're waiting to hear from us, don't forget to check out the great benefits Discover offers. The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer ( EEO is the law ). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other characteristic protected by federal, state, or local law in consideration for a career at Discover.
  • Riverwoods, Illinois, At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career. Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights. Responsibilities Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization. Manages multiple priorities, communicate business performance and project progress to management & business partners. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy. Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development.   Minimum Qualifications At a minimum, here’s what we need from you: Bachelor's Degree in Analytics, Engineering, or Statistics 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related. Preferred Qualifications If we had our say, we’d also look for: Master's Degree in Analytics, Engineering, Mathematics or Statistics 2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related   What are you waiting for? Apply today!   And by the way, while you're waiting to hear from us, don't forget to check out the great benefits Discover offers.   The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer ( EEO is the law ). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other characteristic protected by federal, state, or local law in consideration for a career at Discover.  

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