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The Applied Probability Society is a subdivision of the Institute for Operations Research and the Management Sciences (INFORMS). The Society is concerned with the application of probability theory to systems that involve random phenomena, for example, manufacturing, communication network, computer network, service, and financial systems. The Society promotes the development and use of methods for the improvement of evaluation, control, and design of these systems. Such methods include (stochastic) dynamic programming, queueing theory, Markov decision process, discrete event dynamic systems, point processes, large deviations, reliability, and so on. Our members include practitioners, educators, and researchers with backgrounds in business, engineering, statistics, mathematics, economics, computer science, and other applied sciences.

The Applied Probability Society also publishes Stochastic Systems. This open-access journal seeks to publish high-quality papers that substantively contribute to the modeling, analysis, and control of stochastic systems. The contribution may lie in the formulation of new mathematical models, in the development of new mathematical methods, or in the innovative application of existing methods. A partial list of applications domains that are germane to this journal include: service operations; logistics, transportation, and communications networks (including the Internet); computer systems; finance and risk management; manufacturing operations and supply chains; and revenue management.

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  • Baltimore, Maryland,   General Summary The Healthcare Data Scientist position will join our Advanced Analytics group at the University of Maryland Medical System (UMMS) in support of its strategic priority to become a data-driven and outcomes-oriented organization. The successful candidate will have 3+ years of experience with Machine Learning, Predictive Modeling, Statistical Analysis, Mathematical Optimization, Algorithm Development and a passion for working with healthcare data. Previous experience with various computational approaches along with an ability to demonstrate a portfolio of relevant prior projects is essential. This position will report to the UMMS Vice President for Enterprise Data and Analytics (ED&A).   Principal Responsibilities and Tasks Develops and manages predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) analytic models in support of the organization’s clinical, operations and business initiatives and priorities. Deploys solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems Supports and drives analytic efforts designed around organization’s strategic priorities and clinical/business problems Works in a team to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements. Builds and extends our analytics portfolio supported by robust documentation Works with autonomy to find solutions to complex problems using open source tools and in-house development Stays abreast of state-of-the-art literature in the fields of operations research, statistical modeling, statistical process control and mathematical optimization Creates and communicates project plans and other required project documentation and provides updates to leadership as necessary Develops and maintains relationships with business, IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communication Works with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings Performs analysis to evaluate primary and secondary objectives from such pilots Assists leadership with strategies for scaling successful projects across the organization and enhances the analytics applications based on feedback from end-users and clinical/business consumers Assists leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization. Knowledge, Skills and Abilities Ability to develop (from scratch) machine learning and/or deep learning approaches to solving clinical and business (including operations, supply chain, human resources, finance) problems. Knowledge of databases, data structures, data processing and data mining. Ability to perform independent/unsupervised exploratory data analysis. Ability to develop complex process models using discrete-event-simulation. Ability to program independently in Python (intermediate skills); ability to participate in software platform and web application development. Proven communications skills – Effective at working independently and in collaboration with other staff members. Capable of artful storytelling and clearly presenting findings in oral and written format and through graphics. Proven analytical skills – Able to compare, contrast, and validate work with keen attention to detail. Skilled in working with “real world” data including scrubbing, transformation, and imputation. Proven problem solving skills – Able to plan work, set clear direction, and coordinate own tasks in a fast-paced multidisciplinary environment. Expert at triaging issues, identifying data anomalies, and debugging software. Design and prototype new application functionality for our products. Change oriented – actively generates process improvements; supports and drives change, and confronts difficult circumstances in creative ways Effective communicator and change agent Ability to prioritize the tasks of the project timeline to achieve the desired results Strong analytic and problem solving skills Ability to cooperatively and effectively work with people from various organization levels Education and Experience Master’s or higher degree (may be substituted by relevant work experience) in applied mathematics, engineering, operations research, physics, computer science, statistics or a related field. PhD degree preferred. Background in computer science, operations research, statistics or a physical engineering discipline. 3+ years of Machine Learning/Predictive Analytics and Mathematical Optimization experience (to include time in graduate program for applicants with PhD degrees). Prior experience with Python and R is a must (experience with tools such as WEKA, RapidMiner, or other open source tools are strongly preferred). Ability to develop and apply computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financial management, human resource, quality and supply chain) Ability to develop and deploy healthcare-relevant predictive and prescriptive models. Ability to perform standard statistical analysis. Ability to formulate and solve mathematical (deterministic and stochastic) optimization problems and simulation; prior experience in Arena, FlexSim or similar environments. Experience with discrete-event-simulation strongly preferred. Robust experience with SQL Intermediate development skills in Python. Ability to combine analytic methods and advanced data visualizations. Experience with Big Data technologies, including Hadoop. Expert ability to break down and clearly define problems. Experience with text mining and Natural Language Processing (NLP) desirable. Incentive Plan Offered. Competitive medical, dental and retirement benefits.
  • Salem, Oregon, Operations and Policy Analyst 4 – Asset Management Program  Manager      Oregon Department of Transportation Delivery and Operations Division – Engineering and Technical Services Branch Asset Management Program Office Salem The role:   Are you a skilled communicator with a passion for public service? We are recruiting for a dynamic program management professional to join our team in Oregon’s capital city! As a senior strategist and policy advisor to our management teams ,  you will formulate and manage our agency strategy and policy for asset management. In this role, you will also provide statewide asset management leadership and approach by focusing on the relationship between people, process, data and the technology that enables them.  Apply today! We invite members of all diverse communities to join our workforce as we endeavor to best serve Oregonians from every background. ODOT values diversity and inclusion because they are good for Oregon. We believe that by welcoming differences, encouraging new ideas and views, listening to and learning from each other, and providing opportunities for professional enrichment we are better able to serve those around us. We thank you for considering this employment opportunity. A day in the life: Drive policy and institutionalize asset management best practices. Create and implement a long-term asset management strategy. Develop, communicate and collaborate on agency strategic planning, goals and priorities. Develop and lead critical program governance structure including various committees and advisory teams. Review proposed state and federal legislation and rule making related to asset management. Analyze policy issues and develop and implement proposals, policies and strategies to address issues.  Plan, organize and direct projects and change initiatives involving multidisciplinary teams, consultants, managers, internal and external partners. Lead the updates of the Transportation Asset Management Plan. Lead the development of an asset management strategic plan in coordination with the agency to address gaps in performance and further our asset management capabilities. Coordinate with executive management to secure funding for asset management initiatives. Lead the development of a communication plan. Manage the budgeting and expenditures of the biennial and fiscal year program budgets. Collaborate with stakeholders and follow contracting guidelines to develop contractor statement of work, scope of work and other contracting documents. Work is performed in a typical office environment with occasional statewide and overnight travel required. Occasionally required to work long hours. Click here  to view the position description, including the full list of duties and working conditions. What’s in it for you: Rewarding work in a fast-paced, creative environment. Colleagues who are passionate about public service. Work/life balance and 10 paid holidays a year, flexible work schedules and competitive benefits packages.  Click here  to visit our full benefits website. Multi-modal ride sharing!  Get There  is Oregon’s easy-to-use carpool matching tool and trip planner that will get you where you need to go. Live, work and play in  Salem, Oregon !  What we need: A bachelor’s degree in business or public administration, behavioral or social sciences, finance, political science or any degree demonstrating the capacity for the knowledge and skills;  and  five (5) years professional-level evaluative, analytical and planning work  related to public works project or program management. OR Any combination of experience and education equivalent to eight (8) years of professional-level experience  related to public works project or program management. What we’d like to see: If you have these qualities, let us know! It’s how we will choose whom to move forward!   High level of understanding of public works project/program design, construction and maintenance activities. Skilled in bringing together diverse or opposing groups and working through different and sometimes antagonistic viewpoints to arrive at mutually acceptable solutions. Experience in communicating verbally and in writing and operating with executives, managers, supervisors across all levels and functions of an organization. Knowledge and experience with asset management and application of project and portfolio governance approaches at the organizational level. Experience in developing and executing program strategies, plans and initiatives, process development, documentation and training, organizational change management and contract administration. Learn more and apply! This recruitment closes at 11:59 p.m. on July 6, 2020. Click here  to learn more and to apply! Please note that we can only accept applications and/or resumes through our website. For questions about the job announcement or online application, please call 503-986-7146 or email odotrecruitmentEM@odot.state.or.us. ODOT is an Equal Employment Opportunity and Affirmative Action Employer

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