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Los Angeles, California, The Iovine and Young Academy for Arts, Technology and the Business of Innovation at the University of Southern California invites applications for a full-time faculty position in Analytics and Data Science (non-tenure track, rank dependent on qualifications) to begin in the fall 2023 semester. The ideal candidate will hold a M.S. and/or Ph.D., or equivalent advanced degree, with a specialization in one or more of the following fields, or related fields: data science, business analytics, computing, or technology and information systems; or commensurate experience in research, academic, or professional experience.   Qualifications   In addition to the previously mentioned areas of specialization, candidates with experience or a specific interest in the following areas will be prioritized: Artificial intelligence and machine learning, including experience in developing and deploying machine learning models Proficiency with programming languages including Python, R, SQL, and TensorFlow Predictive and prescriptive analytics Data visualization and related tools Development of data gathering and collaborative analysis tools   Responsibilities   Responsibilities for this position may include, but are not limited to:    Teaching or co-teaching courses, online or in-person depending on program requirements Developing responsive cutting-edge curriculum for a diverse group of undergraduate and graduate students with backgrounds in the design, computer-based technologies, engineering, business or entrepreneurship, and communication Development and dissemination of national level practice, applied research and/or scholarship in data science and analytics for collaborative innovation Mentoring students in and beyond their education into professional careers, including start-up and founding of business endeavors  Participating in service, administrative or leadership functions Building inclusive and innovative community Requirements Ideal candidates should have: Two or more years of teaching experience at the college/university level (graduate and undergraduate preferred) at peer institutions Experience in industry or development of data science and analytics processes and tools for societal impact projects Evidence of pedagogical innovation and ability to move outside traditional classroom environments into real-world applications; effective use of technology in instructional environments; and an ability to work well in collaborative educational settings Interest in forging relationships and building opportunities with other schools and departments at USC as well as with industry and community organizations.   The USC Iovine and Young Academy is especially interested in candidates whose backgrounds and experience have prepared them to contribute to our commitment to the engagement, teaching, and inclusion of diverse audiences . About USC Iovine Young Academy USC Iovine and Young Academy students develop expertise at the intersection of design, technology, business and communication along with competencies in each of these areas. Academy graduates can integrate divergent ideas to develop new ways of working, learning, collaborating in key emerging specializations of the 21st century – design strategy, product innovation, integrated business innovation, extended reality, physical computing, health innovation and participatory wellness, purpose-driven innovation and entrepreneurship. Academy students and graduates regularly receive offers for top internships and jobs from leading companies such as Apple, Google, Intel, Adidas, Sony, Spotify, Khan Academy, Tesla, Facebook, and Ernst and Young, and student startups have garnered more than $150M in funding and acquisition payouts since the school’s opening in 2014.    ??The Academy is proud of our efforts to foster an accessible, inclusive, diverse, and equitable learning community. As a school, it is our express purpose to reinvent undergraduate and graduate education, specifically to meet the changing needs of our students and, through their abilities, society. Through these new models for education, we are intent on providing greater access for students from diverse backgrounds, especially those who exhibit talents, traits, and attributes different from those traditionally sought by higher education programs. As a growing community of innovators, we are seeking educators that share in this vision and will actively contribute to the diversity of thought, expertise, and experience our students require.   About University of Southern California The University of Southern California is one of the world’s leading private research universities. An anchor institution in Los Angeles, a global center for arts, technology, and international business, USC's diverse curricular offerings provide extensive opportunities for interdisciplinary study and collaboration with leading researchers in highly advanced learning environments.  USC strongly values diversity and is committed to equal opportunity employment. Women and men, and members of all racial and ethnic groups, are encouraged to apply.    Instructions to the applicant : Applicants should submit a letter of application discussing professional and scholarly work, teaching, and related experience; curriculum vitae; and names and contact information of three references.   All application materials should be uploaded through the online portal at usccareers.usc.edu . Finalists will be asked for additional materials. The application deadline is December 1, 2022. The position is open until filled. To insure full consideration, applications should be submitted as soon as possible. Questions can be addressed to Professor Michael Crowley, assistant dean of faculty affairs, through the administrative assistant for faculty affairs: Yolanda DiConti.    USC Iovine and Young Academy is an Equal Opportunity Employer. 

Newark, Delaware, University of Delaware Equal Employment Opportunity Statement The University of Delaware is an Equal Opportunity Employer which encourages applications from Minority Group Members, Women, Individuals with Disabilities and Veterans. The University's Notice of Non-Discrimination can be found at http://www.udel.edu/aboutus/legalnotices.html Job No: 499280 Work Type: Faculty Location: Newark Categories: Applied Economics & Statistics, Full Time POSITION: The Department of Applied Economics and Statistics at University of Delaware (UD) invites applications for a full time, tenure-track Assistant Professor in Statistics to begin fall 2023. The position will be a 9-month, academic-year appointment with approximately 60% of time devoted to research and 40% of time devoted to teaching. The new hire will have the opportunity to contribute to our goal of a new Ph.D. program in Statistics. RESPONSIBILITIES: Research: Successful candidates will demonstrate the drive and vision to develop an innovative, cutting-edge, and internationally recognized research program in Statistics, as well as to collaborate with researchers within and outside the University. Specifically, Statistics faculty at UD have the opportunity to participate in interdisciplinary collaborations with the Data Science Institute ( https://dsi.udel.edu/ ), Center for Bioinformatics and Computational Biology ( https://bioinformatics.udel.edu/ ), Center for Applications of Mathematics in Medicine ( http://www.mathandmedicine.org ), the Delaware Health Sciences Alliance ( http://www.delawarehsa.org/), College of Health Sciences ( https://www.udel.edu/academics/colleges/chs/ ), and the Institute for Financial Services Analytics ( http://lerner.udel.edu/centers/research-centers/institute-for-financial-services-analytics/ ), among others. Teaching: A tenure-track assistant professor will be responsible for teaching three courses per year on topics such as biostatistics, applied multivariate analysis, and/or machine learning among other possible topics according to the interests of the candidate and the needs of the department. Teaching could include support for the BS Statistics, MS Statistics, and online MS Applied Statistics. Service: All members of the Department of Applied Economics and Statistics contribute to Department/University/Professional service activities and to the departmental mission of statistical literacy on campus. REQUIREMENTS: A Ph.D. in Statistics (or a closely related field) with research interests in Applied and Theoretical Statistics, Biostatistics, Machine learning, Bioinformatics, Data Science, or Economics, among other related areas of application. The successful candidate will have a proven track record of excellence in research and a demonstrated commitment to high quality teaching at both the undergraduate and graduate levels. We seek individuals that will incorporate diversity, equity, and inclusion into their research, teaching, and mentoring both at the graduate and undergraduate levels. GENERAL INFORMATION: The Department of Applied Economics and Statistics is an interdisciplinary academic unit within the University of Delaware's College of Agriculture and Natural Resources. Currently, the Department consists of 17 full-time faculty who teach and supervise approximately 100 undergraduate majors and 80 graduate students. The Department includes the Statistical Laboratory, which services clients both on and off campus and the Center for Experimental & Applied Economics, an experimental economics laboratory. The University of Delaware is located in scenic Newark, Delaware, within 2 hours of New York, Philadelphia, Baltimore, and Washington, D.C. The University is a Land Grant, Sea Grant, Space Grant, and Carnegie Research University, with external funding exceeding $250 million. A recipient of a NSF ADVANCE Institutional Transformation award, UD has a service to assist dual-career couples and supports work-life balance through family-friendly policies. SALARY: University of Delaware salaries and fringe benefit packages are highly competitive. Tenure-track professors receive one semester sabbatical leave during the third year of the appointment. A highly competitive start-up package will be available. DEADLINE: Review of applications will begin on November 7, 2022, and continue until the position is filled. APPLICATION: To apply, submit an application including: (i) a letter of application, (ii) a curriculum vitae, (iii) one statement of research interests, (iv) one statement about teaching including courses taught, (v) up to three samples of research, (vi) a statement describing your previous efforts and future plans to create a diverse and inclusive learning environment and (vii) at least three references. (Letters of Recommendation will be requested at time of application submission) Submitted documents will be shared with departmental faculty. EQUAL EMPLOYMENT OPPORTUNITY: The University of Delaware is an Equal Opportunity Employer which encourages applications from minority group members, women, individuals with a disability and veterans. The University's Notice of Non-Discrimination can be found at http://www.udel.edu/aboutus/legalnotices.html. Employment offers will be conditioned upon successful completion of a criminal background check. A conviction will not necessarily exclude you from employment. For questions about the position, contact Dr. Jing Qiu (qiujing@udel.edu), Chair, Statistics Faculty Search Committee, Department of Applied Economics and Statistics, University of Delaware, Newark, Delaware. Notice of Non-Discrimination, Equal Opportunity and Affirmative Action The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence. Applications close: Apply Here PI193223617

Johnston RI, Rhode Island, FM Global is looking forward to attending the upcoming 2022 INFORMS Annual Meeting in Indianapolis, IN  October 16, 2022 - Wednesday, October 19, 2022. https://meetings.informs.org/wordpress/indianapolis2022/jobseekers/ We invite you to join our live info session and learn more about our top-rated career opportunities, our  advanced analytics team, current projects and interview process.  Speak directly with our Vice President,  Manager Advanced Analytics, Aysun Ceyhan. Tuesday October 4, 2022 at 11:00 am-12:00pm  EDT We have Full-Time and Post Doctoral Opportunities available. https://jobs-fmglobal.icims.com/jobs/11755/data-scientist-operations-research/job?mode=view https://jobs-fmglobal.icims.com/jobs/11891/post-doctoral-researcher--predictive-analytics/job?mode=view FM Global is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM Global helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles. As a Senior Data Scientist, you will focus on translating business needs into analytics, interpretation of analytics into business applications, advanced technologies and artificial intelligence solutions. This role will provide you with the opportunity to innovate, explore and build solutions for FM Global using emerging technologies. You will develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention.   You’ll be part of our leading-edge and diverse team of sophisticated data and analytics professionals! You’ll work alongside multiple departments including operations, innovation, business technology transformation, underwriting and engineering. Through constant learning, innovation, discovery and collaboration you’ll not only help FM Global deliver on the promise of loss prevention, you’ll also grow your career and the scope of your impact across the company.   You will use your creativity and utilize a vast array of techniques and tools. You will plan, conduct, and direct the development and evaluation of real-world, large-scale problems using artificial intelligence/machine learning with minimal or limited supervision.   Your projects will be interesting, exciting and challenging. You will use operations research to advance the mission and goals of FM Global. Ph.D. in Data Science, Statistics, Applied Mathematics, Operations Research or Industrial Engineering with preferably 2+ years of experience (or Master’s degree with 10+ years of business experience) Proficiency in MS Office Applications including Excel, Word, PowerPoint, Access   Advanced programming skills with modern languages including but not limited to R and Python Advanced knowledge of and experience in:   Deterministic and Probabilistic Operations Research Efficiency/Productivity Analysis Inventory Theory Multi-Criteria Decision Making Metaheuristics Resource Allocation Simulation Basic knowledge of and experience in: Generalized Linear Models Dependent Data Analysis Multi-Variate Analysis Sampling Data Mining Machine Learning Text Analytics Expertise in the analysis of data from a variety of sources Experience in design, validation and testing of algorithms and systems Highly analytical with strong problem-solving skills Strong attention to detail Strong verbal and written communication skills Desire and ability to work well with others in a team environment and across subject areas Understanding of and experience in Agile development process is strongly preferred General business knowledge related to risk management and/or insurance is a plus   Post Doctoral Qualifications:  Completed all Ph.D. requirements in Statistics, Mathematics, Engineering, or related field. Advanced knowledge of and experience in: Deterministic and Probabilistic Operations Research Efficiency/Productivity Analysis Inventory Theory Multi-Criteria Decision Making Metaheuristics Resource Allocation Simulation Basic knowledge of and experience in: Generalized Linear Models Dependent Data Analysis Multi-Variate Analysis Sampling Data Mining Machine Learning Text Analytics Additional Qualifications: Proficiency in MS Office Applications including Excel, Word, PowerPoint, Access Advanced programming skills with modern languages including but not limited to R and Python Highly analytical with strong problem-solving skills Strong attention to detail Strong verbal and written communication skills Desire and ability to work well with others in a team environment and across subject areas We offer our employees a wide range of benefits including career long learning opportunities, tuition reimbursement, 401 (k), pension, flexible schedules, rich health and well-being programs, generous time off allowances, volunteer days and so much more!   FM Global is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.   Please note that all FM Global visitors, including external candidates interviewing for open positions will be required to be vaccinated and should be prepared to provide proof of vaccination.  

Florence, Alabama, The University of North Alabama invites applications for a tenure-track faculty position in Data Analytics within the Department of Finance, Economics, & Data Analytics in the College of Business & Technology, beginning in Fall 2023. Responsibilities include teaching in-class and online undergraduate and graduate courses, and serving on dissertation committees as needed. Experience using Canvas, Blackboard, or other comparable learning management platforms is preferred. The review of candidates will focus on their research productivity/potential and teaching effectiveness/potential. Expertise in advanced regression, time-series, and data mining/data science is preferred. The successful candidate will have a willingness to work with students from diverse backgrounds in the classroom and in experiential learning opportunities. Candidates are expected to demonstrate research necessary for the college to meet current AACSB International accreditation standards. Salaries are competitive with other AACSB-accredited institutions, and a review of applications will begin immediately and continue until the position is filled. Applicants must possess, or be within six months of completion (as per evidence of ABD status and dissertation defense schedule), a doctorate in Statistics, Economics, or a closely-related field from an accredited institution. Preference will be given to candidates with a field in Statistics/Data Analytics or Economics. To view the complete job description and/or apply for this position, please visit our Online Employment System at http://jobs.una.edu/postings/6463 . Applications will only be accepted via this system.  Please be prepared to upload a cover letter, resume/CV, and a reference list with contact information for at least three professional/academic references at the time of application.  In addition, this level of position requires the submission of a one-page diversity statement, the contents of which can be found here .  Transcripts for all schools attended are also required for a faculty application packet to be considered complete. Electronic copies, if available, of unofficial transcripts may be attached under the attachment headings of Unofficial Transcript 1, Unofficial Transcript 2, etc. Electronic copies of unofficial/official transcripts may also be requested from each school attended to be sent to employment@una.edu . If electronic copies of transcripts are unavailable, hard copies must be sent to: Human Resources, One Harrison Plaza, UNA Box 5043, Florence, AL, 35632 or brought to 601 Cramer Way, Room 226. Official transcripts must be sent directly to HR from the issuing school via email or postal mail to be considered official. Transcripts with a designation of “Issued to Student”, or with the student name listed as the recipient will not be considered official. Official transcripts will be required of the successful candidate prior to the start date of the appointment, but unofficial copies will be accepted for the application process. If you attended UNA, please click here to fill out an online, electronic transcript request form. Your transcripts will be delivered to HR and we will upload them to your application packet at no charge to you. For questions, please email employment@una.edu or call 256-765-4291. UNA is an equal opportunity employer committed to achieving excellence and strength through diversity. UNA seeks a wide range of applicants for this position so that one of our core values, ethnic and cultural diversity, will be affirmed.  UNA is a smoke-free campus. Applicants must possess, or be within six months of completion (as per evidence of ABD status and dissertation defense schedule), a doctorate in Statistics, Economics, or a closely-related field from an accredited institution. Preference will be given to candidates with a field in Statistics/Data Analytics or Economics.

Bellevue, Washington, Chewy is growing at a rapid pace. Our approach of thinking about our customers first and ability to move fast has created an opportunity to rethink and redesign our supply chain optimization frameworks from ground up. If the opportunity to create the best-in-class supply chain network, make a large business impact, and deliver large scale savings intrigue you, we will want to talk to you. Multiple teams in Chewy's Supply Chain Research and Planning organization across our Plantation, FL, Boston, MA, Bellevue, WA and Minneapolis, MN locations are seeking Data Scientists and Research Scientists (multiple levels) to join their growing science teams. Combining a background in Supply Chain with a deep understanding of analytics and data science, you will be part of an organization responsible for strategic planning and research initiatives centered around our inventory and fulfillment. What you'll do: Develop and implement models and algorithms to solve complex supply chain problems using operations research, statistics, and machine learning technologies   Deep dive large supply chain data to explain change, develop insights, and provide recommendations   Partner with Supply Chain’s functional areas (with Demand Planning, S&OP, Transportation, and Supply Planning) to streamline and optimize our Supply Chain across the board   Implement process improvement initiatives that drive improvements to the metrics and streamline the Supply Chain   For Full-Time Data/Research Scientist What you'll need: An advanced degree (MS, PhD, or equivalent experience) in Operations Research, Applied Mathematics, Economics, Statistics, Engineering, Computer Science or related field.   Experience designing and developing optimization and predictive models for large scale applications (years of experience required depends on the position level).   Experience with observational studies and randomized experiments.   Python/R mastery, and proficiency in SQL.   Ability to understand and apply advanced mathematics and statistics.   Ability to translate complex data sets and research into simple business recommendations.   Ability to navigate complex frameworks and coordinate with IT and BI business partners.   Bonus Supply Chain, E-commerce, retail, or startup experience is a plus.   Demonstrated ability to deal with ambiguity, needs prioritization, and results delivery in a dynamic environment.   Expertise in reinforcement learning and/or deep learning   For Summer Internships: What you'll need: 2 nd or 3 rd year Ph.D. student in Operations Research, Applied Mathematics, Economics, Statistics, Engineering, Computer Science or related field.   Python mastery, and proficiency in SQL.   Ability to understand and apply advanced mathematics and statistics. How to Apply: We will be at Informs Job Fair. You can send your resume to editroia@chewy.com with the subject line either “Informs Job Fair Full-Time” or “Informs Job Fair Internship”. You can also stop by at our company booth during the Job Fair and drop your resume and chat with one of our representatives. We will review the resumes and schedule the first screening interviews during the conference.

Information Systems Research, Ahead of Print.

Information Systems Research, Volume 33, Issue 3, Page C2-C2, September 2022.

Information Systems Research, Volume 33, Issue 3, Page iii-vii, September 2022.

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Information Systems Research, Ahead of Print.