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The Strategy Science Section is devoted to supporting a community of researchers within INFORMS with an interest in questions of business strategy. The intent is to offer a “big tent” that accommodates scholars across a variety of methodological and theoretical approaches, but who all share a concern with enhancing our understanding of key questions in the strategy field. 

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JOBS OF INTEREST TO STRATEGY SCIENCE

  • Austin, Texas, The City of Austin is a progressive, dynamic, full-service municipal organization operating under the Council-Manager form of government. The City Council is responsible for appointment of the City Manager, who is the Chief Administrative and Executive Officer of the City, City Clerk, City Auditor, Municipal Court Judges, and the Municipal Court Clerk. The Mayor, City Council and City Manager of Austin are committed to their mission of delivering the highest quality services in the most cost-effective manner. The organization’s vision is to make Austin the most livable city in the country and the City Manager’s resolve is to make it the best-managed city in the country. The ideal candidate is passionate about achieving Vision Zero goals and has a basic level of understanding of traffic safety best practices. They are comfortable with flexibility, can work in a fast-paced and dynamic work environment, and is highly organized with a keen sense of attention to detail. The candidate will bring curiosity and passion about data, visualization, and solving problems through robust analysis. The Austin Transportation Department’s Vision Zero Program has an opening for a Business Process Specialist to address a core element of the overall safe systems approach of Austin’s Vision Zero program: Data Evaluation and Analysis. Significant program decisions depend on high quality data analysis to inform our initiatives and collaborations with other key agencies. The Business Process Specialist will provide research and analytical support for a variety of initiatives related to traffic safety. This position will: Assist in daily updates of crash records to ensure accuracy of geospatial locations. Perform quality control on crash records for locations that will be scoped for engineering treatments in the future. Perform in-depth analysis on severe crashes, researching historical crash patterns and additional context to inform potential safety improvements. Perform research on pedestrian and bicyclist crashes, to identify trends and potential strategies for improving safety. Perform research on best. To watch a video on the Austin Transportation Department, click here:  https://www.youtube.com/watch?v=n_tdAP-hQi4 Working for the City of Austin provides a number health and welfare benefits such as low-cost medical, dental, vision, paid leave time, a highly competitive retirement plan, career development opportunities and more. For more information on  City of Austin Benefits click here!   Preferred Qualifications: Experience using statistical tools or approaches for analysis. Experience in performing quality control checks on data from outside sources. Experience in using a variety of data sources to research an issue with appropriate context and understanding of an issue. Demonstrated knowledge of Microsoft Word, Microsoft Excel, and other online software, including business intelligence tools. Experience working with different groups within an organization to ensure accuracy of analytical findings. Demonstrated experience in, and understanding of, what makes safer streets for all roadway users.         Minimum Qualifications: Graduation with Bachelor’s degree from an accredited college or university with major course work in a field related to the job, plus four (4) years of experience in a field related to the job, including two (2) years of which were in a supervisory, project, or program management capacity. Licenses or Certifications: Valid Texas Class C Driver License. To be considered for this position, candidates must apply online at: https://www.austincityjobs.org/postings/99374 Please review additional postings with Austin Transportation. The City of Austin has excellent benefits and provides an exceptional retirement system as well as a 457 plan for its employees.   About Austin, Texas Austin has long been known as a technologically advanced city, a place where new ideas go to be tested and adopted. Austin has enjoyed a robust and diverse economy for the past 10 years, with economic indicators regularly exceeding national averages. Austin metropolitan area is one of the fastest growing in the country, with a 2.9 percent increase in population in 2016. Austin, Texas has a population of 926,000, making it the 11th largest city in the country. One of the country’s most popular, high-profile “green” and culturally dynamic cities, Austin was selected as the #1 Best Places to Live (US News and World Report 4/2017), # 5 Top 25 Future-Ready US Cities (Convention Management Association Convene Magazine, 2/2016), “Best City for the Next Decade” (Kiplinger), the “Best Places to Live in the US” (US News), the “Top Creative Center” in the US (Entrepreneur.com) and #1 on the “On Numbers Economic Index” as the fastest growing economy.     EOE - City of Austin is committed to compliance with the American Disabilities Act
  • Chattanooga, Tennessee, About the Position The Sr Data Engineer will develop and support next generation architecture for the advanced supply chain analytics offering, covering both Data Engineering and Business Intelligence (BI). The job will design, create, manage, and use of large datasets across a variety of data platforms. The position crafts, implements, and operates stable, scalable, low-cost solutions to replicate data from production systems into the BI data store.    Functions Partner with key distribution, transportation, and material handling business managers to design and implement efficient and scalable Extract, Transform, Load (ETL) solutions Assist in developing and improving the current ETL/BI architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility Design low latency data architectures at scale to enable data driven decision-making Delivery of performant and scalable data products and platforms, both Online Transactional Processing (OLTP) and Online Analytical Processing (OLAP), to consume, process, analyze and present data from the data ecosystem, while driving data engineering best practices Ensure the integrity and uninterrupted processing of batch and real-time data pipelines to ingest and process data from various internal data sources and third-party platforms Work closely with Data Science and Business Intelligence team to develop and maintain company-level Key Performance Indicators (KPIs), accompanying core metrics and develop architecture to drive business growth Qualifications Bachelor’s degree in Computer Science.  Master’s or PhD degrees preferred 8-10 years Data Engineering experience: proven track record working with large datasets and closely working with data analysts, software and infrastructure engineers Expert level skills writing/optimizing complex SQL and schema buildout with structured and unstructured data, including star schemas, constellations, and snowflake schemas Proficiency with languages like Python, Ruby, or Java Strong background in working with Big Data technologies like: Spark, Kafka, Hadoop, etc. Experienced in developing and delivering on technical roadmaps and architectures for platforms or cross-functional problems that impact multiple teams Experience in creating data warehousing, data lakes, and data marts Experience in data mining, profiling, and analysis Experience with workflow orchestration tools and rules-driven process automation engine systems Good understanding of Continuous Integration (CI)/ Continuous Delivery (CD) principles Demonstrated track record of dealing with ambiguity, prioritizing needs, and delivering results in a dynamic business environment Proven ability to develop unconventional solutions; Sees opportunities to innovate and leads the way Experienced in designing data solutions utilizing AWS cloud data platforms and tools Experience in creating scalable architecture to enable development of data driven products preferred Experience in creating/supporting decision support dashboard/product preferred Experience in mentoring BI or ETL team preferred Competencies Business Acumen - Knowledgeable in current and possible future policies, practices, trends, technology, and information affecting his/her business and organization. Communicate for Impact - Proactively communicate with all stakeholders throughout the life cycle of programs and projects. Influencing Others - Can quickly find common ground and can solve problems for the good of the organization with a minimal amount of noise. Authentically gains trust and support of peers. Managing Transitions/ Change Management - Effectively plans, manages and communicates changes in processes with appropriate stakeholders. Strategic Agility - Enable Kenco to remain competitive by adjusting and adapting to innovative ideas necessary to support Kenco’s long-term organizational strategy.   Travel Requirements This position is expected to travel approximately 25% or less A passport is not required, but recommended. Bachelor’s degree in Computer Science.  Master’s or PhD degrees preferred 8-10 years Data Engineering experience: proven track record working with large datasets and closely working with data analysts, software and infrastructure engineers Expert level skills writing/optimizing complex SQL and schema buildout with structured and unstructured data, including star schemas, constellations, and snowflake schemas Proficiency with languages like Python, Ruby, or Java Strong background in working with Big Data technologies like: Spark, Kafka, Hadoop, etc. Experienced in developing and delivering on technical roadmaps and architectures for platforms or cross-functional problems that impact multiple teams Experience in creating data warehousing, data lakes, and data marts Experience in data mining, profiling, and analysis Experience with workflow orchestration tools and rules-driven process automation engine systems Good understanding of Continuous Integration (CI)/ Continuous Delivery (CD) principles Demonstrated track record of dealing with ambiguity, prioritizing needs, and delivering results in a dynamic business environment Proven ability to develop unconventional solutions; Sees opportunities to innovate and leads the way Experienced in designing data solutions utilizing AWS cloud data platforms and tools Experience in creating scalable architecture to enable development of data driven products preferred Experience in creating/supporting decision support dashboard/product preferred Experience in mentoring BI or ETL team preferred
  • Irwindale, California, Lead the development and implementation of the long-term strategies for the Measurement & Control portfolio, which is a part of our Process Automation product range. Define, verify & lead main product directions & product family strategies of our next generation single and multi-channel transmitters & controllers. By developing a deep understanding of the industry requirements, translate customer needs into an innovative product portfolio together with peer product managers and the innovation department. Continuous market and competitor analysis. Ensure product portfolio is fit for the market (performance, application, connectivity, digital aspects, user experience). Be a global product ambassador promoting our existing solutions & to learn about customer requirements first-hand. Own new product lines from the very first stage until market release and beyond. Support global strategic marketing campaigns. Bachelor's or Master's degree in a technical and/or engineering field. Minimum of 4 years of experience as a product- or portfolio manager with a focus on process automation (flowmeters, analytical instrumentation, pressure, temperature, level). Understanding of the global MC market with a focus on the USA, EU & China in terms of main players & technology trends. Industrial background (marketing/sales/product management) in the field of industrial water treatment or wet chemical process industries. Digital Field Connectivity Standards such as Industrial Ethernet (Profinet, Ethernet IP, Modbus TCP) or IO-Link are not foreign words for you but fundamental feature sets you had touchpoints within your professional environment. Willingness to travel globally (approx. 20 %). Basic know-how about UX design – best practices, user research & requirement definition. Motivated to join a young and dynamic global team with a hands-on mentality that strives to become better every day. The ability to zoom in and out from market to product feature set level and also a good set of strategical tools to represent portfolio directions from mid-to C-Level management well-structured and insightful. Well experienced to work across teams, departments & cultures with the ability to structure and coordinate different stakeholders. Annual bonus
  • Irwindale, California, Lead the development and implementation of the long-term strategies for the Measurement & Control portfolio, which is a part of our Process Automation product range. Define, verify & lead main product directions & product family strategies of our next generation flow sensor solutions: Magmeters, Mechanical Solutions, Ultrasonic Flow Sensors etc. By developing a deep understanding of the industry requirements, translate customer needs into an innovative product portfolio together with peer product managers and the innovation department. Continuous market and competitor analysis. Ensure product portfolio is fit for the market (performance, application, connectivity, digital aspects, user experience). Be a global product ambassador promoting our existing solutions & to learn about customer requirements first-hand. Own new product lines from the very first stage until market release and beyond. Support global strategic marketing campaigns. Bachelor's or Master's degree in a technical and/or engineering field. Minimum of 4 years of experience as a product- or portfolio manager with a focus on process automation (flowmeters, analytical instrumentation, pressure, temperature, level). Understanding of the global MC market with a focus on the USA, EU & China in terms of main players & technology trends. Industrial background (marketing/sales/product management) in the field of industrial water treatment or wet chemical process industries. Digital Field Connectivity Standards such as Industrial Ethernet (Profinet, Ethernet IP, Modbus TCP) or IO-Link are not foreign words for you but the fundamental feature sets you had touchpoints within your professional environment. Motivated to join a young and dynamic global team with a hands-on mentality that strives to become better every day. The ability to zoom in and out from market to product feature set level and also a good set of strategical tools to represent portfolio directions from mid-to C-Level management well-structured and insightful. Well experienced to work across teams, departments & cultures with the ability to structure and coordinate different stakeholders. Willingness to travel globally (approx. 20%). Annual bonus
  • Redwood City, California, C3.ai, Inc. (NYSE:AI) is a leading provider of Enterprise AI software for accelerating digital transformation. The proven C3 AI Suite provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The core of the C3 AI offering is an open, data-driven AI architecture that dramatically simplifies data science and application development. Learn more at:  www.c3.ai As a Data Scientist / Senior Data Scientist – Optimization, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications – many including optimization. You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate optimization formulations to answer those questions and implement those on the C3 AI Suite so they can run at scale. Qualified candidates will have in-depth knowledge of optimization and an understanding of common machine learning techniques and their applications. We offer more senior positions under this category for candidates with advanced experience.  Your Responsibilities: Provide thought leadership and guidance in optimization. Research, design, implement and deploy optimization solutions for enterprise applications leveraging the C3 AI Suite. Assist and enable C3 AI customers to build their own applications on the C3 AI Suite. Collaborate with and/or lead a small technical team on a project, and identify technical risks and mitigation strategies. Contribute to the design and implementation of new features of the C3 AI Suite. Contribute to making C3 AI a great place to work. Requirements: MS or PhD in Computer Science, Artificial Intelligence, Optimization, Econometrics, Operations Research, or equivalent. Deep understanding of optimization (constrained, convex and non-convex optimization problems, and LP, QP, MILP, MINLP, problems and solvers). Strong mathematical background (linear algebra, calculus, statistics, optimization). Strong coding skills in Python (or similar object-oriented programming language). Ability to drive a project and work both independently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. Curiosity and willingness to learn about our customers industries. Excellent verbal and written communication in English. Work will be conducted at our office in Redwood City, California Preferred: Professional experience applying optimization in a customer facing role. Practical experience with at least one type of commercial solver (e.g., Gurobi). Knowledge of git and experience with JavaScript, Java or Scala is a plus. Experience with applied ML (e.g., regression and classification, supervised and unsupervised learning, etc) and scalable ML (e.g., distributed systems, MapReduce, streaming, etc). A portfolio of projects (GitHub, papers, etc.) is a plus. C3 AI provides a competitive compensation package and excellent benefits including: Competitive salary, generous stock options, 401K, medical, dental, and vision benefits.

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