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New York, New York, Advisory Manager, Operations Consulting (Multiple Positions), PricewaterhouseCoopers Advisory Services LLC, New York, NY. Provide expertise in operations strategy, product innovation and development, supply and demand planning, supply chain management, procurement and sourcing, service operations, manufacturing and logistics. Translate business strategy into effective operations to drive both growth and profitability. Perform reliability-centered maintenance, integration of operations with supply chains, corporate performance management, time and motion studies, and benchmarking/best-in-class practices and performances. Use systems applications that support Operations-related processes. Lead project work streams, including project staffing, budgeting, planning and status updating. Manage engagement teams, provide coaching and feedback in a timely manner. Maintain client relationships. 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 Engineering, Accounting, Business Administration, or a related field, plus 5 years of post-bachelor, progressive, related work experience; OR a Master’s degree or foreign equivalent in Engineering, Accounting, Business Administration, or a related field, plus 3 years of related work experience. Must have at least one year of experience with each of the following: Developing business strategies and transforming the value chain functions from product development through supply chain, manufacturing and product support; Conducting quantitative and qualitative benchmarking and primary and secondary analyses of large and complex data; Using system applications that support one or more of the following: product lifecycle management, network optimization, planning/forecasting, merchandising, inventory management, sourcing/e-sourcing, maintenance, enterprise asset management, materials management, warehouse management, or transportation management, and, Identifying and addressing client needs. Travel up to 80% is required. Please apply by mail, referencing Job Code NY3105, Attn: HR SSC/Talent Management, 4040 West Boy Scout Boulevard, Tampa, FL 33607.

Philadelphia, Pennsylvania, The Department of Marketing and Supply Chain Management in the Fox School  seeks scholars at the tenure track (or, if appropriate, tenured) Assistant, Associate or Full Professor level to contribute to the environment of collaborative, multi-disciplinary research at the Fox School of Business at Temple University. Qualified candidates must hold a Ph.D. or foreign equivalent in Marketing or related field by September 1, 2022 and have an outstanding record in research including the demonstrated ability to conduct high-quality research and publish in top-tier journals, and a commitment to excellence in teaching. Researchers in all areas of marketing, including areas such as quantitative or behavioral are encouraged to apply for positions that start July 2022. The Fox School of Business, with more than 7,200 students and more than 190 full-time faculty members, is accredited by AACSB International and one of the largest and most comprehensive business schools in the nation, offering Bachelors, MBA, Specialized Masters, Executive MBA, Executive DBA, and Ph.D. with programs at campuses in the Philadelphia region and worldwide. For further information about the MSCM department, please visit: http://www.fox.temple.edu/departments/marketing-supply-chain-management/ APPLICATION PROCEDURE: Candidates should send application materials and they will be reviewed on a rolling basis from the first submissions until the job is filled. Include a cover letter addressed to Professor Joydeep Srivastava, Committee Chair in the Marketing and Supply Chain Management department, curriculum vitae, a brief statement of research interests, up to three samples of research publications, results of teaching performance (if applicable), and the names and contact information of three references. Submit materials electronically to jsrivastava@temple.edu. Applicants must arrange for three letters of recommendation to be emailed directly from recommenders to the above email address, with “Reference for [Candidate’s Name]” in the subject line. Temple University is an equal employment opportunity and affirmative action employer committed to student, faculty and staff diversity, equity, and inclusion. Women and minorities are strongly encouraged to apply. Additional information is available from the university, college, and department websites at http://www.fox.temple.edu . Temple University's Annual Security and Fire Safety Report contains statistics, policies, and procedures related to campus safety and can be found at: https://safety.temple.edu/reports-logs/annual-security-report . You may request a copy of the report by calling Temple University’s Campus Safety Services at 215-204-7900. In accordance with the City of Philadelphia’s mandate, all Temple University students, faculty, staff, and contractors must be fully vaccinated for COVID-19 by October 15, 2021, unless they have a medical or religious exemption approved by the university.  An individual is considered fully vaccinated 2 weeks or more following the second dose of the Pfizer or Moderna vaccines, or 2 weeks or more following a single dose of the Johnson & Johnson vaccine. Individuals who do not meet the University’s vaccination or exception requirement by October 15, 2021, will be prohibited from working until proof of vaccination or an exception is provided.  For more information visit the university's Vaccines web page at  https://www.temple.edu/coronavirus/vaccines .

Lake Buena Vista, Florida, Job Description We seek candidates for roles at multiple levels within the Decision Science team. The specific job level for an individual candidate will be determined based on their education, prior experience, and demonstrated technical and leadership proficiencies. The Decision Science team focuses on creating innovative mathematical models to inform business decision making through data. The team is interested in all fields related to data science, with emphasis on statistics, operations research, econometrics, and machine learning. The Decision Science team resides within the Disney Decision Science + Integration (DDSI) organization. DDSI provides internal consulting services for clients across The Walt Disney Company, including Disney Parks, Experiences and Products (covering Parks & Resorts, Signature Experiences, and Consumer Products, Games and Publishing) and Disney Media & Entertainment Distribution (covering content from Studios, General Entertainment and Sports). The DDSI team sits at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions, and drive value. Our work includes conceptualizing new solutions, solution design and development, implementation and integration with business processes, and ongoing business support.   Responsibilities Achieve business goals and objectives—Research and develop decision science models and act as a consultant to all business units within The Walt Disney Company Pursue innovation—Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users Put your skills to the test—Perform data collection and data mining, and build state-of-the-art decision science algorithms, tools, and systems Drive value—Model and analyze revenue management and pricing related issues using various mathematical, statistical, and simulation techniques Tell the story—Present science results to business partners and clients Support a global and enterprise-wide mission—Identify and apply best practices in the field of advanced analytics for multiple businesses such as theme parks and resorts (e.g. Walt Disney World), Disney Cruise Line, media (e.g. ABC, ESPN), movies (e.g. Walt Disney Animation Studios), live shows (e.g. Disney on Broadway), and retail (e.g. shopDisney) Basic Qualifications Must exhibit competence in at least one of the following four analytical fields, inclusive of topics as noted: Statistics (two or more topics): Bayesian statistics Generalized linear models Mixture models Nonparametric regression Structural equation models Time series (state space models, ARIMA, etc.) Optimization (at least one topic): Decision analysis or multiple criteria decision making Mixed-integer optimization Nonlinear optimization Stochastic optimization Discrete-event simulation and stochastic models Econometrics (two or more topics): Generalized method of moments Instrumental variables Limited dependent variables Panel data Simultaneous equations models Machine learning (two or more topics): Boosting CART Clustering Graphical models Neural networks Random forests Reinforcement learning Support vector machines Must exhibit competence in at least one computing topic: General computing (Python, Java, C, C++, etc.) Statistical computing (R, SAS, etc.) Scientific computing (Julia, MATLAB, etc.) Roles beyond the entry level require the ability to work with little guidance on science methodologies and modeling approaches, based on sound business acumen, and to provide peer leadership to junior colleagues Higher roles require the ability to work concurrently across lines of business or functional areas, to direct the design and development of advanced analytical models, or to provide project leadership to ensure successful implementation of solutions across all project phases Preferred Qualifications Proven knowledge of revenue management context, including demand forecasting, resource allocation, and pricing Required Education Master’s or Ph.D. degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or related field

Washington, D.C., Senior Consultant , Guidehouse Inc., Washington, DC. Support the management of workstreams on client engagements from inception to completion. Develop work products that require understanding of clients’ organizations and business and regulatory environment. Research and review documentation to identify best practices to improve financial management business processes. Apply expertise in accounting standards, Agile methodologies, data analytics, forecasting/modelling, and change management. Assist management with identifying public sector opportunities to support Federal clients with implementation and execution of laws, regulations, and guidance that govern their business processes.   40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. MINIMUM REQUIREMENTS : Bachelor’s degree or foreign equivalent degree in Business, Accounting or a related field, and 3 years of post-bachelor, progressive, related work experience. Must have 1 year of experience with/in: Developing financial forecasting and pricing models; Developing and implementing Microsoft office tools (such as Excel and/or Visio) for data collection and analysis; Software applications Tableau and Salesforce; Developing proposals that respond to requirements listed in statements of work; and Managing project budgets and schedule of activities to ensure submission of client deliverables. 20% travel required. Telecommuting permitted. Please apply by mail to: Ronald McKnight, Guidehouse Inc, 2941 Fairview Park Drive, Suite 501, Falls Church, VA 22042. Please reference Job-ID: DC0009

Chicago, Illinois, Position Description The University of Chicago’s Physical Sciences Division invites applications for the position of lecturer for the 2021-22 academic year to teach at least two core or elective courses for the Master of Science in Analytics program. See below for a list of courses. Administrative duties may also be assigned. Lecturers will be appointed to an initial one year term (calendar year), with the possibility of renewal. For more detailed course descriptions, visit https://professional.uchicago.edu/find-your-fit/masters/master-science-analytics/curriculum.   This position is part-time and not benefits eligible. Applicants must currently be authorized to work permanently in the United States. These courses are offered at our downtown facilities, including NBC Tower and Gleacher Center.  Core Courses  Time Series Analysis and Forecasting | MSCA 31006  Statistical Analysis | MSCA 31007  Data Mining Principles | MSCA 31008  Machine Learning and Predictive Analytics | MSCA 31009  Linear and Nonlinear Models for Business Application | MSCA 31010  Data Engineering Platforms | MSCA 31012  Leadership Skills: Teams, Strategies, and Communications | MSCA 31003  Data Science for Consulting | MSCA 31015  Elective Courses  Big Data Platforms | MSCA 31013  Financial Analytics | MSCA 32001  Marketing Analytics | MSCA 32003  Credit and Insurance Risk Analytics | MSCA 32004  Real Time Analytics | MSCA 32005  Data Visualization Techniques | MSCA 32007  Health Analytics | MSCA 32009  Optimization and Simulation Methods for Analytics | MSCA 32013  Bayesian Methods | MSCA 32014  Digital Marketing Analytics in Theory and Practice | MSCA 32015  Advanced Machine Learning and Artificial Intelligence | MSCA 32017  Natural Language Processing and Cognitive | MSCA 32018  Real Time Intelligent Systems | MSCA 32019  Reinforcement Learning | MSCA 32020  Machine Learning Operations | MSCA 32021 Qualifications Minimum qualifications: A master’s degree in Data Science, Applied Math, Statistics, Computer Science, Mathematics, or other closely related field, and minimum of five years of professional experience in Computer Science, Analytics, or Data Science is required.  Preferred qualifications: a PhD in Data Science, Applied Math, Statistics, Computer Science, Mathematics, or other closely related field. One to three years of teaching experience either within a university (such as Adjunct, Lecturer or Instructional Professor) or corporate training environment for professional education is preferred. 7+ years of professional experience preferred.  Application Instructions The following materials are required:  CV;  Cover letter that lists the courses you are most qualified to teach; A list of two references; Sample course syllabus; Teaching statement; Optional materials: teaching evaluations from past teaching at the university level. Applications must be submitted online through the University of Chicago’s Academic Jobs website:  apply.interfolio.com/97358 .  Equal Employment Opportunity Statement We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The University’s Statements on Diversity are at  https://provost.uchicago.edu/statements-diversity . The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's  Notice of Nondiscrimination . Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-1032 or email  equalopportunity@uchicago.edu  with their request.