Location: Hyde Park, NY
to the Coronavirus pandemic. SHIFTS Varies AM & PM Weekdays, some weekends depending on need. ACTIVITIES AND RESPONSIBILITIES Organize and maintain the cleanliness and sanitation of student and employee dish rooms including separation of compostable waste and trash, ware washing, and cleaning of dish room floors and drop off counter.
Must adhere to all recommendations and guidelines set by the CDC during the Coronavirus pandemic. Separate and wash all service wares including silverware, service china and service trays. Make sure there is an adequate supply of clean wares for all stations during service hours. Set up of dish machine station. All items must be put away and secured according
to FIFO, OSHA and Department of Health Codes. Adhere to the CIA professional dress and hygiene codes. Empty and remove all trash from dish room service area and complete outside garbage runs.
Greet students and staff in a friendly and professional manner. Any and all duties as required. PREREQUISITES None PREFERRED PRIOR EXPERIENCES Experience in a fast food or casual dining environment. Familiar with a teamwork-based environment. SKILL DEVELOPMENT AND LEARNING OUTCOMES OF ASSIGNMENT Ability to maintain professionalism and adhering to standards of operational excellence, safety, efficiency and educational goals set by the CIA. Strong communication skills to effectively interact with guests,
students, and faculty/staff. Strong teamwork and interpersonal skills; ability to be adaptable, dependable and handle multiple priorities simultaneously.
Strong analytical, problem-solving and conceptual skills. Successful applicant must be able to perform all related functions of the assignment which may include working nights and weekends, ability to bend reach and stand for long periods of time, lifting and carrying of items up to fifty (50) pounds, and the ability to withstand high ambient temperatures. For more details: jobs-search. org/sciences_hyde-park-c440116/job_i1945308196
Science Jobs is an employment niche focused on job opportunities within the science sector. It encompasses a diverse range of positions from research and development, lab work, to academic and corporate roles in various scientific disciplines like biology, chemistry, physics, and environmental science. The key feature of Science Jobs is its specialized nature, catering to individuals with a strong background in science and a passion for research and innovation. It provides a platform for employers to find highly-skilled professionals and for job-seekers to find roles that match their expertise. Science Jobs often requires candidates to have a specific set of qualifications, including advanced degrees and relevant experience, thus ensuring a highly qualified workforce driving scientific progress.
as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Principal Associate of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.
The Principal Associate of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology
and knowledge organization concepts. Primary Responsibilities Develop, implement and govern ontologies and optimized data models in consultation with stakeholders in teams dedicated to improving data discoverability, search, and product development Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business.
Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services Analyze and implement knowledge organization
strategies using tools capable of machine learning, ontology management, and semantic enrichment Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACLDevelop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Test/troubleshoot new or updated models and systems Manage and oversee other projects as assigned by Product Owners and Supervisors Role-Based Competencies Intellectually Curious.
You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they’re doing what they’re doing. You always can rally associates to work with you Do-er. You’re biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You’re well organized, able to multitask and able to prioritize your work Passionate & Customer Focus.
You care about growing others and bringing them together around what’s possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.
Basic Qualifications Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 3 years’ experience in a metadata field of work or a masters’ degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 3 years’ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)At least 3 years’ experience or training in ontology and linked data tools (Protégé, Top Quadrant, Pool Party, Stardog, Anzo Graph, Neptune, or Data.
World)At least 3 years’ experience or training with SQL or SPARQLPreferred Qualifications Master’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data Familiarity with graph databases and technologies Familiarity with Python or RFamiliarity with JSON, Open API/YAML, AVROFamiliarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence.
Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $131,400 - $150,000 for Principal Associate, Ontology and Data Modeling San Francisco, California (Hybrid On-Site): $139,200 - $158,900 for Principal Associate, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to interaction (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, interactionual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.
Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at -xyz X or via email at xyz X@. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). For more details: jobs-search. org/principal-associate_poughkeepsie-c441294/principal-associate-ontologist-and-data-modeling-poughkeepsie_i1965256577
Science Jobs refer to employment opportunities within the various fields of science, such as biology, chemistry, physics, and environmental science. These positions often require a strong educational background in their respective disciplines and can range from academic research and teaching roles to industry-based positions in pharmaceuticals, technology, and more. Unique features of Science Jobs include a focus on innovation, evidence-based analysis, and the exploration of the natural world. They contribute significantly to technological advancements and the betterment of society through scientific discovery and application.
Science Jobs is an employment niche focused on job opportunities within the science sector. It encompasses a diverse range of positions from research and development, lab work, to academic and corporate roles in various scientific disciplines like biology, chemistry, physics, and environmental science. The key feature of Science Jobs is its specialized nature, catering to individuals with a strong background in science and a passion for research and innovation. It provides a platform for employers to find highly-skilled professionals and for job-seekers to find roles that match their expertise. Science Jobs often requires candidates to have a specific set of qualifications, including advanced degrees and relevant experience, thus ensuring a highly qualified workforce driving scientific progress.
