Trabajos total en New York, New York - Page 14Crear alertas

Job Opportunity: RN - ICU - Intensive Care Unit\n\nPosition Details\nSpecialty: RN - ICU - Intensive Care Unit\nLocation: Mount Vernon, Washington\nFacility: Triage\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.

Job Opportunity: RN - Labor and Delivery\n\nPosition Details\nSpecialty: RN - Labor and Delivery\nLocation: New York, New York\nFacility: Cross Country Healthcare\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in pa

Job Opportunity: RN - Labor and Delivery\n\nPosition Details\nSpecialty: RN - Labor and Delivery\nLocation: Hackensack, New Jersey\nFacility: Cross Country Healthcare\nEmployment Type: Temporary\nContract Length: 23 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates i

Job Opportunity: RN - Endoscopy\n\nPosition Details\nSpecialty: RN - Endoscopy\nLocation: Westwood, New Jersey\nFacility: Aequor\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients. Patient Population: Adult-Geriatric\n\nRequirements

Job Opportunity: RN - Endoscopy\n\nPosition Details\nSpecialty: RN - Endoscopy\nLocation: Westwood, New Jersey\nFacility: OneStaff\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in patient and family teaching.Provid

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series C funding round brought our total investment to over $170 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 6 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are seeking a Senior Data Engineer to design and develop the data management layer for our platform to ensure its scalability as we expand to larger customers and new jurisdictions. At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision-making for both internal and external users. We process hundreds of millions of events daily, with this number growing as we onboard new customers. We prioritize open-source solutions in our data management approach, leveraging a Google Cloud Platform (GCP) foundation for our data infrastructure. This includes batch/stream ingestion, transformation, and consumption layers for BI, internal use, and external third-party sinks. Additionally, we oversee data experimentation, cataloging, and monitoring and alerting systems. Our team is 100% distributed and remote. Things You Get To Do: • Design and oversee key forward and reverse ETL patterns to deliver data to relevant stakeholders., • Develop scalable patterns in the transformation layer to ensure repeatable integrations with BI tools across various business verticals., • Expand and maintain the constantly evolving elements of the Alpaca Data Lakehouse architecture., • Collaborate closely with sales, marketing, product, and operations teams to address key data flow needs., • 7+ years of experience in data engineering, including 2+ years of building scalable, low-latency data platforms capable of handling >100M events/day., • Proficiency in at least one programming language, with strong working knowledge of Python and SQL., • Experience with cloud-native technologies like Docker, Kubernetes, and Helm., • Strong hands-on experience with relational database systems., • Experience in building scalable transformation layers, preferably through formalized SQL models (e.g., dbt)., • Ability to work in a fast-paced environment and adapt solutions to changing business needs., • Experience with ETL technologies like Airflow and Airbyte., • Production experience with streaming systems like Kafka., • Exposure to infrastructure, DevOps, and Infrastructure as Code (IaaC)., • Deep knowledge of distributed systems, storage, transactions, and query processing.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500 Recruitment Privacy Policy

Job Opportunity: RN - Endoscopy\n\nPosition Details\nSpecialty: RN - Endoscopy\nLocation: Paramus, New Jersey\nFacility: Triage\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in patient and family teaching.Provides

Job Opportunity: RN - OR - Operating Room\n\nPosition Details\nSpecialty: RN - OR - Operating Room\nLocation: Bronx, New York\nFacility: Cross Country Healthcare\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.

Posted job title: RN:TELE,19:00:00-07:00:00 About ARMStaffing Allied Resources Medical Staffing (ARMStaffing) places the most qualified medical professionals in the industry, including: local and travel contract, temp-to-perm, per diem, and direct-hire personnel. We accomplish this through our total

Job Opportunity: RN - Med Surg\n\nPosition Details\nSpecialty: RN - Med Surg\nLocation: Summit, New Jersey\nFacility: Triage\nEmployment Type: Temporary\nContract Length: 8 weeks\n\nJob Description\nCoordinates total nursing care for patients. Patient Population: Adult-Geriatric\n\nRequirements\nExp

Job Opportunity: RN - CVOR\n\nPosition Details\nSpecialty: RN - CVOR\nLocation: Brooklyn, New York\nFacility: Triage\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in patient and family teaching.Provides leadership

Job Opportunity: RN - NICU - Neonatal Intensive Care\n\nPosition Details\nSpecialty: RN - NICU - Neonatal Intensive Care\nLocation: New York, New York\nFacility: Aequor\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients. Transportat

Job Opportunity: RN - PICU - Pediatric Intensive Care\n\nPosition Details\nSpecialty: RN - PICU - Pediatric Intensive Care\nLocation: New York, New York\nFacility: Cynet\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients. Patient Po

Job Opportunity: RN - Pediatrics\n\nPosition Details\nSpecialty: RN - Pediatrics\nLocation: New York, New York\nFacility: Cross Country Healthcare\nEmployment Type: Temporary\nContract Length: 6 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in patient and family

Job Opportunity: RN - Home Health\n\nPosition Details\nSpecialty: RN - Home Health\nLocation: Staten Island, New York\nFacility: Cynet\nEmployment Type: Temporary\nContract Length: 260 weeks\n\nJob Description\nCoordinates total nursing care for patients. Compliance:\nAll medical/occupational health

Job Opportunity: RN - Surgical ICU Stepdown\n\nPosition Details\nSpecialty: RN - Surgical ICU Stepdown\nLocation: Flushing, New York\nFacility: Aequor\nEmployment Type: Temporary\nContract Length: 8 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in patient and fam

Job Opportunity: RN - ICU - Intensive Care Unit\n\nPosition Details\nSpecialty: RN - ICU - Intensive Care Unit\nLocation: Mount Vernon, Washington\nFacility: Atlas MedStaff\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.

Job Opportunity: RN - Telemetry\n\nPosition Details\nSpecialty: RN - Telemetry\nLocation: New York, New York\nFacility: Cynet\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.

Job Opportunity: RN - Cardiac Cath Lab\n\nPosition Details\nSpecialty: RN - Cardiac Cath Lab\nLocation: Mount Vernon, Washington\nFacility: Coast Medical Service\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in pat

Job Opportunity: RN - Electrophysiology Lab\n\nPosition Details\nSpecialty: RN - Electrophysiology Lab\nLocation: Paramus, New Jersey\nFacility: Aequor\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in patient and f

JobID: REQ_674222 [Retail Sales / Team Member] As an At Your Service Center Associate at Macy's, you'll: Proactively assist customers who are using devices to shop and compare; Assist customers in all aspects of total store fulfillment; Be knowledgeable of POS/MPOS procedures and proficient in all t

Job Opportunity: RN - Labor and Delivery\n\nPosition Details\nSpecialty: RN - Labor and Delivery\nLocation: Hackensack, New Jersey\nFacility: OneStaff\nEmployment Type: Temporary\nContract Length: 23 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in patient and fa

Job Opportunity: RN - Labor and Delivery\n\nPosition Details\nSpecialty: RN - Labor and Delivery\nLocation: Newark, Delaware\nFacility: Coast Medical Service\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in patient

Job Opportunity: RN - Med Surg / Telemetry\n\nPosition Details\nSpecialty: RN - Med Surg / Telemetry\nLocation: Jersey City, New Jersey\nFacility: American Medical Staffing\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients. Patient

Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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, NY: $211,000 - $240,800 for Lead Machine Learning Engineer 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 ; 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 1- or via email at . 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 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).

Senior Manager, Machine Learning Engineer (People Leader) Capital One's Digital Commerce & Innovation organization is seeking a Machine Learning Engineer, People Leader, at the Senior Manager level with a passion for building and growing full stack applications to join its Velocity Black by Capital One team. As a candidate for this role, you're able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world's finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams., • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)., • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment., • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications., • Retrain, maintain, and monitor models in production., • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale., • Construct optimized data pipelines to feed ML models., • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code., • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI., • Use programming languages like Python, Scala, or Java. Basic Qualifications:, • Bachelor's degree, • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply), • At least 4 years of experience programming with Python, Scala, or Java, • At least 3 years of experience building, scaling, and optimizing ML systems, • At least 2 years of experience leading teams developing ML solutions, • At least 4 years of people management experience. Preferred Qualifications:, • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field, • 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow, • 3+ years of experience developing performant, resilient, and maintainable code, • 3+ years of experience with data gathering and preparation for ML models, • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform, • 3+ years of experience building production-ready data pipelines that feed ML models, • Ability to communicate complex technical concepts clearly to a variety of audiences, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified 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, NY: $245,900 - $280,600 for Sr. Mgr, Machine Learning Engineering 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 ; 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 1- or via email at . 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 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).

JobID: REQ_663909 [Retail Sales / Team Member] As an At Your Service Associate at Macy's, you'll: Be proactive in assisting customers who are using devices to shop and compare; Assist customers in all aspects of total store fulfillment; Be knowledgeable of POS/MPOS procedures and proficient in all t

Job Opportunity: RN - Interventional Radiology\n\nPosition Details\nSpecialty: RN - Interventional Radiology\nLocation: New York, New York\nFacility: Triage\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients. Patient Population: Adu

Business Manager, Premium Products This is your opportunity to join the fast-growing Premium Products and Experiences team. Our mission is to grow and develop industry leading products that deliver unique, differentiated benefits to our millions of customers while also powering the headline marketable benefits of our credit card products. As a Business Analysis Manager at Capital One, you will apply your strategic and analytical skills to major company challenges. You'll team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. Summary : As a Business Analysis Manager at Capital One, you will apply your strategic and analytical skills to major company challenges. You'll team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. General Responsibilities: * Strategic leadership: Develop business strategies that will drive growth, profitability, and competitive success for Capital One in the face of shifting consumer and regulatory demands * Product: Develop and implement new product and pricing strategies for various lending products; lead product level modeling/analytics * Marketing: Lead direct-to-consumer marketing efforts for select products, and strategic intent for products distributed through the retail channel. Build targeted insights to inform the design and development of new customer experiences, as well as breakthrough technology and concepts designed to deliver on new go-to-market strategies * Credit Risk: Drive step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis * Execution: Manage and sequence delivery of business intent, build business requirements and execute against the product strategy. Oversee multiple projects and programs concurrently * Partnership: Work closely with colleagues across Capital One including: IT, Sales, Operations, Finance and others to drive improvement in quality, volume, service, and profitability * Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing & credit risk management * Strong business judgment, leadership and integrity: He/she should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business * Solid people leadership experience: Ability to build and leverage the capabilities of a high-performing team, as well as business partners across the enterprise. He/she should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results * Strong executive communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills * Clear results orientation: display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment * Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus Basic Qualifications: * Bachelor's Degree in any quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering) * At least 2 years of experience in analysis Preferred Qualifications: * Master's Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering * 5+ years of experience in analysis * 2+ years of experience in financial services * 1+ year of experience in consulting * 2+ years of experience in people management * 2+ years of experience in SQL querying Capital One will consider sponsoring a new qualified 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. McLean, VA: $158,400 - $180,800 for Business Manager New York, NY: $172,800 - $197,200 for Business Manager 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 ; 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 1- or via email at . 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 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).

Job Opportunity: RN - Med Surg\n\nPosition Details\nSpecialty: RN - Med Surg\nLocation: Belleville, New Jersey\nFacility: Aequor\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients. Patient Population: Adult-Geriatric\n\nRequirements

Job Opportunity: RN - PICU - Pediatric Intensive Care\n\nPosition Details\nSpecialty: RN - PICU - Pediatric Intensive Care\nLocation: Newark, New Jersey\nFacility: Atlas MedStaff\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients. P

Job Opportunity: RN - PICU - Pediatric Intensive Care\n\nPosition Details\nSpecialty: RN - PICU - Pediatric Intensive Care\nLocation: New York, New York\nFacility: IDR\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients. Patient Popu

Job Opportunity: RN - Labor and Delivery\n\nPosition Details\nSpecialty: RN - Labor and Delivery\nLocation: Perth Amboy, New Jersey\nFacility: Cross Country Healthcare\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates

Job Opportunity: RN - CVOR\n\nPosition Details\nSpecialty: RN - CVOR\nLocation: Newark, Delaware\nFacility: Coast Medical Service\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in patient and family teaching.Provide

Job Opportunity: RN - Long Term Acute Care\n\nPosition Details\nSpecialty: RN - Long Term Acute Care\nLocation: Rochelle Park, New Jersey\nFacility: OneStaff\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients. Patient Population: Ad

Job Opportunity: RN - Cardiac Cath Lab\n\nPosition Details\nSpecialty: RN - Cardiac Cath Lab\nLocation: Mount Vernon, Washington\nFacility: Cross Country Healthcare\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.

Job DescriptionResidential Plumber ???? We invite full-time Residential Plumbers to join our service team in Union, NJ. Who We Are Service Professionals is on a mission to create remarkable experiences that leave our customers giving us their enthusiastic "Thumbs Up!" This isn't just a goal - it's our promise. We do more than just fixing plumbing, heating, cooling, and electric issues. We consider our job incomplete until we see their thumbs up high in approval. ???? Join us on this remarkable road, where every day our success story is written with thumbs pointed up. What We Offer We are building a culture that values collaboration. We offer strong compensation packages, uncapped performance-based bonuses, and exceptional training programs. These have the potential to be life-changing opportunities for driven professionals. Depending on experience, this role will make at least $25 - $50 an hour. High performers will receive a sales bonus, bringing total compensation between $90,000 and $160,000 ????Top Compensation: We aim to be the top total compensation benchmark in the industry with the best bonus program available. ???? Exceptional Benefits: We provide our teams with full benefits including health and dental - with deductibles covered. Full-time staff receive a 401k. ???? Your Own Truck: Gas card included. All techs can (and should) take home their trucks to be dispatched from home. ????️ Cutting-Edge Tech: We invest in the tech to make your job easier, more efficient, and, most importantly, more enjoyable. ???? Recognition and Rewards: Hard work won't go unnoticed. We recognize and celebrate your achievements, both financially and culturally. ???? Room for Growth: You're not just another number; you're a person with ambitions. We offer pathways for true career development. ???? Inspiring Work Environments: We understand and respect that life…happens. We take care of our people and support them on their life journeys. Who You Are This will be an exceptional opportunity for you if you have the following skills & experiences. If you don’t - you can still apply and learn them with us! ⛏️ You like getting your hands dirty. ???? You embrace technology. ???? You avoid shortcuts when nobody is watching. ???? You make people feel comfortable. You are the kind of person that anyone would send to their own mother’s house, without any concerns. People love having you around and value your advice. ???????? You are physically up to the task! This is a demanding job that requires hard, manual labor. What You Know Everyone has a unique career journey. Even if you don’t know everything on this list, we encourage you to apply and have a conversation with us. Candidates for this role should have: ???? Deep technical plumbing knowledge, with a focus on the residential sector. ???? Relevant state licenses and certifications. ???? Expert knowledge of safety regulations and local plumbing codes. ???? Valid driver’s license with a safe driving record. ???? Fluency in English. What Will You Do? First off, you will commit to delivering an exceptional customer experience. Always. This role will be focused on Residential Service, playing a critical role in responding to plumbing service and repair calls. This will include the most complex of jobs. You will: ???? Diagnose and resolve plumbing issues, while building strong relationships with our customers. ???? Identify potential problems to prevent premature and unexpected breakdowns/callbacks. ???? Explain multiple options to the client, keeping them updated with each service performed. ???? Educate and assist customers in choosing the best options (quality and financial value) and servicing agreements. ???? Understand your service metrics and hold yourself accountable for exceeding revenue goals. We Are An Equal Opportunity Employer Service Professionals is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Service Professionals is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Physical Demands/Working Conditions - All Trades and Warehouse Departments To perform the duties of this job, you are regularly expected to sit, stand, walk, kneel, squat, stoop hands to finger, handle controls, hear, and talk. You must be able to reach with your hands and arms, climb ladders, and work in hot/cold environments such as crawl spaces. You will regularly lift 50+ pounds. Specific vision abilities required include close vision and the ability to adjust focus. The work environment can vary depending on the season and scope of work - you will be expected to be outside throughout multiple seasons. ???? Apply now to join a remarkable team!

Manager, Ontology and Data Modeling The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, 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 Manager 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 data products and services. The Manager 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 * Partnering with Enterprise governance and tooling teams to develop and implement standards for ontologies to support data consumers * Partnering with Data Product Managers, data modelers, and other ontologists to understand use cases and pain points for data discovery and consumption * Partnering with Data Product teams to align on shared vocabularies within and across data domains, and design modeling solutions that meet consumer needs and requirements * Maintaining a scalable ontology that seamlessly integrates vocabularies across domains (Account, Customer, etc), types of data (structured, unstructured), and levels of granularity (up and down the ontology's hierarchy) Role-Based Competencies * Modeling and implementing taxonomies/ontologies that solve pain points for data consumers trying to find, understand, or use data * Able to partner across business, technical, and data science teams to implement standardized vocabularies, metadata, and relationships (aka taxonomies/ontologies) in data consumption experiences * Able to autonomously structure solutions to complex problems and develop modeling frameworks in collaboration with the broader Capital One Ontologist community * Able to make balanced decisions in modeling design and implementation, such as balancing standardization, scalability, and convergence with user-specific needs for customization and ease of use * Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives. * Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment. Basic Qualifications * Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics * At least 4 years' experience in a metadata field of work (such as ontology, taxonomy, semantics or computational linguistics) * At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS) * At least 4 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World) * At least 4 years' experience or training with SQL or SPARQL Preferred Qualifications * Master's degree or PhD 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 R * Familiarity with JSON, OpenAPI/YAML, AVRO * Familiarity with Agile principles, processes, and methodologies * Strong project management experience 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. Cambridge, MA: $158,400 - $180,800 for Manager, Ontology and Data Modeling McLean, VA: $158,400 - $180,800 for Manager, Ontology and Data Modeling New York, NY: $172,800 - $197,200 for Manager, 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 ; 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 1- or via email at . 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 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).

Job Opportunity: RN - GI Lab\n\nPosition Details\nSpecialty: RN - GI Lab\nLocation: Westwood, New Jersey\nFacility: Cross Country Healthcare\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients. Patient Population: Adult-Geriatric\n\n

Job Opportunity: RN - ED - Emergency Department\n\nPosition Details\nSpecialty: RN - ED - Emergency Department\nLocation: Mount Vernon, Washington\nFacility: Triage\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients. Patient Populat

Job Opportunity: RN - Med Surg / Telemetry\n\nPosition Details\nSpecialty: RN - Med Surg / Telemetry\nLocation: Elizabeth, New Jersey\nFacility: American Medical Staffing\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients. Patient P

Job Opportunity: RN - Labor and Delivery\n\nPosition Details\nSpecialty: RN - Labor and Delivery\nLocation: Perth Amboy, New Jersey\nFacility: Triage\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in patient and fam

Job Opportunity: RN - Electrophysiology Lab\n\nPosition Details\nSpecialty: RN - Electrophysiology Lab\nLocation: New Hyde Park, New York\nFacility: Triage\nEmployment Type: Temporary\nContract Length: 13 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in patient a

Job Opportunity: RN - ED - Emergency Department\n\nPosition Details\nSpecialty: RN - ED - Emergency Department\nLocation: Newark, Delaware\nFacility: Coast Medical Service\nEmployment Type: Temporary\nContract Length: 21 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participa

Job Opportunity: RN - Telemetry\n\nPosition Details\nSpecialty: RN - Telemetry\nLocation: Flushing, New York\nFacility: Aequor\nEmployment Type: Temporary\nContract Length: 8 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in patient and family teaching.Provides le

Job Opportunity: RN - Telemetry\n\nPosition Details\nSpecialty: RN - Telemetry\nLocation: Flushing, New York\nFacility: Cynet\nEmployment Type: Temporary\nContract Length: 8 weeks\n\nJob Description\nCoordinates total nursing care for patients.Participates in patient and family teaching.Provides lea

What do we do? Medical Solutions is one of the nation’s largest providers of total workforce solutions in the healthcare industry, connecting nurses and allied health clinicians with hospitals and healthcare systems across the country and around the corner. Medical Solutions Direct Hire is seeking

Gifted Healthcare is seeking a travel nurse RN CVOR for a travel nursing job in Newark, New Jersey. • Specialty: CVOR, • Discipline: RN, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, days • Pay: Local pay $83/hr, • BLS certification required, • 2.5+ years of Operating Room RN experience, • Circulate experience required, • Guaranteed Pay: Get paid even if shifts are canceled due to low census, • Premium Overtime: Earn 2x your hourly rate on travel assignments (excludes local, PRN, CA, Govt), • Weekly Pay: Reliable weekly pay, • Day-One Benefits: Full medical, dental, and vision coverage Gifted Healthcare Job ID #7180z. Pay package is based on 12 hour shifts and 36 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Gifted Healthcare is an award-winning staffing agency that offers career opportunities to clinicians, healthcare leaders, and school-based professionals. Gifted provides Travel, Local, Per Diem, Government, and School-Based assignments as well as Interim Leadership services at premier facilities across the United States. We strive to elevate human connection in the delivery of care, and our team is committed to supporting you every step of the way in order to help you succeed on your terms. Joining Gifted comes with benefits like schedule flexibility, competitive pay, and the opportunity to gain valuable clinical experience in top-notch facilities. As a Gifted clinician, you can trust that we will invest in your career, fight for your well-being, and put your needs first. Apply with Gifted Healthcare today for access to exceptional job opportunities, day-one benefits, and 24/7 support. Our vision is to elevate the human connection in the delivery of care we provide to our clinicians. We serve your evolving needs through innovation, community, compassion, and service. Gifted is here for you every step of the way to help you succeed on your terms. Working with Gifted comes with benefits like schedule flexibility, competitive pay, and the opportunity to gain valuable clinical experience in top-notch facilities. • Weekly pay, • Guaranteed Hours, • Pet insurance, • Wellness and fitness programs, • Referral bonus, • Medical benefits, • Dental benefits, • Vision benefits, • Benefits start day 1