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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  • Los Angeles, California, PURPOSE OF POSITION The IT Architect II, Train Control Systems will interface with various railroad operating groups to ensure that all aspects of the Train Control Systems including CAD, BOS, Signal and PTC On-Board are current and comply with railroad operating practices, policies and promote safe and efficient railroad operations. This person will be responsible for lab testing critical Train Control subsystems including critical features, wayside communication systems, PTC SUBDIV database files and various components of the PTC data model.  Additionally, this person will participate in the long-term development of next generation train control projects. DISTINGUISHING CHARACTERISTICS This job description is not part of job series SUPERVISION EXERCISED AND RECEIVED Receives supervision from departmental management/supervisory level roles No formal supervisory responsibilities ESSENTIAL DUTIES AND RESPONSIBILITIES The duties listed below are intended to describe the general nature and level of work being performed and are not to be interpreted as an exhaustive list of responsibilities. Ensure the incorporation and application of railroad operating practices and policies into the Network Control system including CAD, PTC, and Signal Systems provided for the safe and efficient operation of the railroad. Provide in-depth problem analysis and resolution for all Train Control supported servers’ data telecommunications, networks, and endpoint computer systems. Perform and lead technology build, test and development/reporting activities. Assess operating practices and governing operations and assure the Train Control, PTC, Signal Communications and Network Control Systems reflect industry best practices. Provide on-going maintenance, including upgrades and hot fixes. Provide technical and end-user documentation for Train Control server architecture and procedures. Collaborate with the project management team, technical team, and business unit to build server solutions. Design and analyze issue resolution, bypass, and recovery procedures Acts as a technical liaison and partner to applications, systems programmers and computer operations for network related areas. Present cost-effective recommendations to improve the current computing systems and teleprocessing networks to various stakeholders. Plan, install, implement, upgrade and test a variety of servers to be used within Train Control Standard Operating Procedures in user groups for new products, procedures, training, and policies. Produce reports, graphs and charts as needed for Train Control procedures, training, and documentation. Evaluate and interpret statistical data reports as generated within SCRRA and management. Flexible work environment including occasional night, weekend duty assignments and provide on-call support when applicable. Perform other related duties as assigned. MINIMUM QUALIFICATIONS EDUCATION AND EXPERIENCE Bachelor’s degree in Computer Information Systems, Business Information Systems or related field. A minimum of seven (7) years of work experience in data center infrastructure solutions delivery role, and experience with business process components, module integration, and business customer facing engagements. A minimum of three (3) years of work experience testing and reviewing logs from various train control systems. Experience in an active freight or commuter railroad GCOR/FRA regulated environment (as a dispatcher, administrator, train systems operator or signal and communications back office support). A combination of training, education and or experience that provides the required knowledge, skills and abilities may be considered when determining minimum qualifications. Advanced relevant coursework may also substitute for a portion of required experience. A Valid Class “C” California driver’s license with a satisfactory driving record of no more than 3 moving violations and no DUI’s within the last 3 years is required. KNOWLEDGE, SKILLS AND ABILITIES Knowledge of : Train control software and hardware contracts with payment schedules featuring unit price, lump-sum, RFP, and design-build. GCOR and Timetable experience (preferred but not required). Principles, methods, or tools for developing, scheduling, coordinating, and tracking projects and resources, including monitoring and inspecting work, and contractor performance. Best practices to document Root Cause Analysis and ongoing system documentation. Technical and analytical processes required to support and troubleshoot complex issues in an enterprise environment including deep working knowledge of VMware, PRTG, Veeam, Windows Servers and Active Directory. Train control, signal and communication configuration management practices and regulatory record keeping. Track, railroad operations and signaling and communication systems. Project life-cycle management. Disaster Recovery and testing policies and procedures.   Skilled in : Problem-solving and issue resolution while considering end users’ needs. Process workflow and SOP redesign. Effective communication skills both verbally, and in writing. Ability to Support projects at various levels within the enterprise. Analyze and troubleshoot at the hardware, Operating Systems and Firmware level and articulate outcomes. Communicate effectively and efficiently with internal and external customers. Document and create diagrams of current infrastructure. Collaborate with other SCRRA departments. Lead and facilitate meetings. PHYSICAL REQUIREMENTS Transition between a stationary position at a desk or work location and move about Metrolink facilities or other work site locations  Operate tools to perform the duties of the position; such as computers, office equipment and work-related machinery  Transport equipment or boxes up to 25lbs  Exchange ideas by means of communication  Visual acuity to detect, identify and observe employees or train movement and any barriers to movement when working on or near railroad tracks   Hear and perceive the nature of sounds when working on or near railroad tracks  Balance, ascend/descend, climb, kneel, stoop, bend, crouch or crawl within assigned working conditions and or locations  WORKING CONDITIONS Position requires work in a normal office environment with little exposure to excessive noise, dust, or temperature. Work may also be conducted in outdoor environments, at construction sites, Railroad Track and Right-of-Way environments, and warehouse environments, with possible exposure to individuals who are hostile or irate, moving mechanical parts, and loud noises (85+ decibels, such as heavy trucks, construction, etc.) .                                                                                                                                                                               Southern California Regional Rail Authority is an Equal Opportunity Employer. In compliance with the Americans with Disabilities Act, the Authority will provide reasonable accommodations to qualified individuals with disabilities and encourages both prospective and current employees to discuss potential accommodations with the employer
  • Colorado Springs, Colorado, In this position, you perform a variety of high-level technical and analytical tasks to improve data quality.  You will work closely with system administrators to research, remediate and monitor data quality issues that impact analysis and reporting. Essential Job Functions - the basic job duties an employee must be able to perform:   Use technology to evaluate large datasets for quality and accuracy; systematically audit, identify and recommend solutions for data quality problems to include record duplication, inconsistencies, and accuracy and missing data Work with system administrators to include RMS to prioritize and correct data quality errors, determine root cause for data quality errors and make recommendations for long-term solutions; research and determine scope and complexity of the issues and identify steps to fix the issues Write SQL scripts and queries from data sources to extract data and create reports and queries Develop process improvements to enhance overall data quality Analyze datasets and draw valid conclusions to make recommendations based on the data Determine business-level impacts related to data quality issues; works cross-functionally to understand errors and to develop data cleansing plans and or implement permanent process solutions to improve data quality Create user-specified reports and dashboards within user databases, document these functionalities, and assist with end-user training and support Define and developing clear and concise standard operating procedures including standards in collaboration with other members of the department and representatives of other relevant departments We are looking for candidates who demonstrate: Knowledge of intermediate math and statistical analysis Ability to analyze data and report findings and conclusions Ability to write reports, prepare letters, expositions, and summaries Ability to forecast based on data Ability to prepare statistical charts, graphs, and exhibits using data Bachelor’s degree from an accredited college or university with major coursework in a field appropriate to assigned area of responsibility which may include, Criminal Justice, Sociology, Criminology, Psychology, or other research-intensive fields Five years of full-time professional analytical experience specific to the area of assignment Possess or obtain upon hire, and maintain, a valid, non-probationary Colorado driver’s license not subject to restriction related to alcohol and/or drug violations or pending charges One (1) year of the appropriate type and level of experience may be substituted for each required year of post-high school education. Additional appropriate education may be substituted for the minimum experience requirements. $6,460.00 - $7,755.00 Monthly
  • Chicago, Illinois, At Nielsen we understand the importance of knowing what consumers Watch and Buy.  As the world’s largest research organization, Nielsen is powered by talented, creative scientists and researchers.  Our  Research & Analytic Development associates come from diverse disciplines that include business, economics, engineering, mathematics, operations research, physics, and statistics.  These professionals drive innovation and insight through continual ideation, complex analyses, and delivery of insights to our clients.  Because measurement is at the core of Nielsen's business, our products have high visibility and make a direct impact on our clients.   Our team in Chicago has an opportunity available for a Data Scientist.  The ideal candidate has work experience in the development of econometric models, expertise in modern analytics programming,  tested and deployed machine learning and artificial intelligence techniques, the capacity to work in an agile development environment alongside software engineers, and a solid foundation in developing solutions for marketing, pricing and/or advertising organizations.   Responsibilities Design econometric models, and supervised and unsupervised learning approaches Create various prototypes for research and development purposes Design, write and test modules for Nielsen analytics platforms using Python, R, SQL,  Spark, and AWS products Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy and StatsModels  Document and present methodology inside and outside the company Partner with our Software Engineering department to build best-of-class cloud-based analytical solutions Requirements Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study 2+ years work experience in delivering analytics software solutions in a production environment 2+ years work experience in quantitative marketing analysis, with an emphasis on statistical, econometric and predictive analytic research that drives analytic product Innovation and implementation Expertise in coding and testing of analytical modules using Python, SQL,  Spark, and AWS Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines Exceptional problem solving skills Excellent oral and written communication skills   Desired Experience with household/person-level loyalty card analytics Experience in marketing mix modeling with Nielsen or IRI syndicated data Experience with R, Scala  Short-release life-cycle experience (agile processes including scrum)
  • Chicago, Illinois, At Nielsen we understand the importance of knowing what consumers Watch and Buy.  As the world’s largest research organization, Nielsen is powered by talented, creative scientists and researchers.  Our Global Research & Analytic Development associates come from diverse disciplines that include business, economics, engineering, mathematics, operations research, physics and statistics.  These professionals drive innovation and insight through continual ideation, complex analyses and delivery of insights to our clients.  Because measurement is at the core of Nielsen’s business, our products have high visibility and make a direct impact on our clients.   Our team in Chicago has an opportunity available for an Optimization Specialist.  The ideal candidate must have expertise in the development of optimization algorithms, modern analytical programming, and optimization algorithms and heuristics.  The candidate would also have the capacity to work in an agile development environment alongside software engineers, and a solid foundation in developing solutions for marketing, pricing and/or advertising organizations.   Responsibilities   Create various prototypes for research and development purposes Research, design, write and implement optimization approaches and algorithms   Design and test analytical modules for Nielsen modeling and optimization platforms Partner with our Software Engineering department to build best-of-class web-based analytical solutions Document and present methodology inside and outside the company     Requirements   Graduate degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or Systems Engineering with focus on optimization methods PhD level mathematical optimization coursework Expertise in Python or other modern programming languages  Expertise in object-oriented programming Experience in using machine learning libraries and techniques Experience writing production grade code using scientific computing packages (e.g., R, Apache Spark's Machine Learning Library MLlib, NumPy, SciPy, Scikit-learn ) Expertise in using optimization solvers like CPLEX, Gurobi and Numerical Algorithm Groups solvers Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines Excellent oral and written communication skills Experience in short-release life-cycle (agile processes including scrum)    
  • Pittsburgh, Pennsylvania, The Heinz College of Information Systems and Public Policy at Carnegie Mellon University is seeking qualified candidates for the open position of Assistant Teaching Professor of Database and Data Science. We invite academics or professionals with experience applying modern data analytics techniques to real world problems. This full-time, teaching-track position is a unique opportunity to join one of the most respected research universities in the world. The Heinz College offers a collegial and intellectually stimulating environment at the intersection of people, policy, and technology. We are looking for an individual committed to instilling analytical and evidence-based practices to our undergraduate and graduate students at Heinz College and across Carnegie Mellon University. We prepare students to understand and leverage technology responsibly to effect change in business and society. We train our students to collect and analyze data in pursuit of positive transformation. We teach a set of data governance and analytical skills with a focus on the effectiveness, equity, and integrity in the decision process and its ramifications. Armed with this unique set of skills, Heinz College graduates are in great demand across all sectors of the economy. Heinz College adheres to four basic principles of being grounded in real-world problem solving; staying ahead of the curve in innovation; nurturing diversity; and developing compassionate leaders. The College, since its founding in 1968 as the School of Urban and Public Affairs, has had a long history of commitment to diversity, equity, and inclusion, made ever more relevant in today’s world of technology-driven social change. The Position The role of Assistant Teaching Professor of Database and Data Science is essential in preparing our students to lead through intelligent decision making and action. This position will be responsible for developing and delivering classes that prepare Heinz students in database and data analytic methods. We are in search of a colleague who is excited about teaching and helping students learn. Specific job responsibilities include developing, preparing, and teaching Introductory and advanced-level undergraduate and graduate courses in database systems, data management, and data analytics.  We are specifically interested in candidates with expertise in traditional and emerging database systems and at least one field in data science, such as big data technologies and algorithms, applied machine learning, visualizing and communicating data, large scale and unstructured data analytics, cloud computing, and/or data-driven modeling and prediction. In addition, we are seeking a candidate who reaffirms our values of diversity, equity and inclusion, and who exemplifies that in their teaching, research, and interactions with colleagues, students, and staff. The desired set of skills include: Ability to develop and deliver relevant coursework in Database Management, Structured Query Language (SQL), Data Governance, NoSQL, Cloud Databases, and elements of the Data Analysis Pipeline A strong understanding of relational and non-relational data modeling concepts including experience with unstructured and dynamic data. Experience in integrating heterogeneous data sets including data acquisition, cleaning, and staging. A clear understanding of ETLs and their applications. Ability to conceptualize, structure, and oversee analytics projects Culturally responsive interpersonal and communication skills Demonstrated commitment to diversity, equity, and inclusion Background in teaching or working in/with academia highly preferred The Teaching Track at Carnegie Mellon is a career-oriented, non-tenure, faculty track with renewable fixed terms and opportunities for promotion from Assistant to Full Teaching Professor. Faculty on the teaching track at Heinz College are expected to teach an effective teaching load of 72 units, the equivalent of six full-semester length classes or twelve half-semester length classes (minis) per academic year. This position emphasizes teaching, student advising, curriculum development, and supervising collaborative projects. Teaching Track faculty serve on committees alongside other faculty at the College and University levels. The Track is ideal for candidates who love to teach and mentor students. This position has a fall 2022 anticipated start date. We welcome applicants with a Ph.D. in Computer Science, Information Systems, or a closely related field as those who have built their experience in industry or professional careers. “ABD” candidates nearing completion of their degrees may be considered. Willingness to work collaboratively with faculty and to mentor students from a wide range of disciplines, cultures and academic backgrounds is essential. Application Instructions A complete application packet will include the following: cover letter; Curriculum Vitae; a statement of teaching philosophy; a diversity statement; contact information for three or more references; and any additional supporting documentation which may include evidence of teaching effectiveness and/or representative of scholarly work. To apply, please visit: https://apply.interfolio.com/100028   Carnegie Mellon University shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

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