Veterinary & Animal Care Jobs encompass a variety of roles dedicated to the health and well-being of animals. These positions can range from veterinarians, who diagnose and treat illnesses in animals, to veterinary technicians, who support vets in procedures and care. Other roles include animal trainers, groomers, and shelter staff, all working toward ensuring animals live healthy and enriched lives. These jobs typically require a deep compassion for animals, a strong sense of ethics, and, for some positions, formal education and certification. This field is characterized by its blend of medical knowledge, hands-on animal interaction, and a commitment to animal welfare.
Veterinary and Animal Care Jobs refer to professions focused on the health and well-being of animals. This field includes veterinarians, veterinary technicians, animal trainers, shelter workers, and more. These roles often require a passion for animal welfare, a scientific background, and strong emotional resilience due to the nature of caring for animals in various states of health. Key features of these jobs include handling medical treatments, providing preventive care, diagnosing illnesses, and sometimes dealing with end-of-life situations. Also, these professionals might collaborate with pet owners to offer nutritional advice or behavioral counseling, thereby ensuring animals lead happy, healthy lives.
Veterinary and Animal Care Jobs refer to professions focused on the health and well-being of animals. This field includes veterinarians, veterinary technicians, animal trainers, shelter workers, and more. These roles often require a passion for animal welfare, a scientific background, and strong emotional resilience due to the nature of caring for animals in various states of health. Key features of these jobs include handling medical treatments, providing preventive care, diagnosing illnesses, and sometimes dealing with end-of-life situations. Also, these professionals might collaborate with pet owners to offer nutritional advice or behavioral counseling, thereby ensuring animals lead happy, healthy lives.
Veterinary & Animal Care Jobs encompass a variety of roles dedicated to the health and welfare of animals. These positions can range from veterinarians, who diagnose and treat illnesses in animals, to veterinary technicians and nurses, who assist in clinical tasks and care. Additionally, there are jobs like shelter workers, animal trainers, and groomers focused on animal well-being. These careers require a combination of empathy, patience, and in some cases, specialized education and practical skills. Working in this field is often both emotionally rewarding and challenging, as it involves caring for animals in diverse situations, promoting their health, and sometimes dealing with the emotional aspects of pet ownership and animal welfare.
Business Opportunity Jobs refer to employment positions or entrepreneurial ventures that present a chance to venture into a new market or industry with potential for significant growth and financial gain. These opportunities often come with the allure of being your own boss, flexible work hours, and the ability to directly influence your income based on performance and innovation. They are typically associated with start-ups, direct sales, franchise ownership, or any role that requires building a business or clientele from the ground up.
Government jobs refer to employment positions within various local, state, or federal governmental agencies. These positions are known for their stability, competitive benefits, and potential for lifetime employment. Employees often enjoy structured career advancement, retirement plans, and healthcare benefits. Government jobs can range from administrative roles to law enforcement, and from policy-making to infrastructure maintenance, encompassing a wide array of skill sets and responsibilities. The recruitment process is typically characterized by rigorous selection criteria, aiming to ensure a capable and resilient workforce serving the public interest.
Research & Development (R&D) jobs involve the creation of new knowledge, products, or processes through innovation and rigorous investigation. These roles are often found in sectors like pharmaceuticals, technology, manufacturing, and academics. Key features include data analysis, experimental design, prototyping, and intellectual property management. R&D professionals are typically highly educated and possess a strong background in their field of expertise. The overarching goal of R&D jobs is to drive progress, improve existing offerings, and maintain competitive advantage through cutting-edge solutions and discoveries.
Research & Development (R&D) jobs are positions focused on creating new products, enhancing existing ones, or discovering new knowledge to advance technology. Individuals in these roles typically work for companies aiming to innovate and maintain competitiveness. Key characteristics of R&D jobs include problem-solving, creativity, a strong technical background, and the ability to work collaboratively. R&D professionals often engage in experimental testing, data analysis, and continuous learning to achieve breakthroughs in sciences, engineering, or other fields. The nature of these jobs is inherently dynamic, requiring adaptability and a forward-thinking mindset.
Research & Development (R&D) jobs are pivotal roles within companies or organizations focused on creating new products or improving existing ones through innovative processes. Individuals in these positions are tasked with exploring cutting-edge technologies, conducting experiments, and analyzing data to develop products that meet market needs or address specific challenges. A key feature of R&D jobs is the emphasis on creativity and problem-solving, as well as the ability to work in dynamic environments that are often at the forefront of technological advancement. R&D professionals must also be adaptable, persistent in the face of failure, and have a strong foundation in scientific or technical disciplines.
Research & Development (R&D) jobs involve the innovation and creation of new products, services, or processes. These roles are typically found in industries like technology, pharmaceuticals, engineering, and biotechnology. R&D professionals work to solve complex problems, develop patents, and improve existing offerings. Key characteristics of R&D jobs include a strong focus on experimental work, critical thinking, a passion for discovery, and often a requirement for advanced technical or scientific education. R&D teams are strategic assets that drive growth and competitiveness for their organizations.
Veterinary and Animal Care Jobs refer to professions focused on the health and well-being of animals. This field includes veterinarians, veterinary technicians, animal trainers, shelter workers, and more. These roles often require a passion for animal welfare, a scientific background, and strong emotional resilience due to the nature of caring for animals in various states of health. Key features of these jobs include handling medical treatments, providing preventive care, diagnosing illnesses, and sometimes dealing with end-of-life situations. Also, these professionals might collaborate with pet owners to offer nutritional advice or behavioral counseling, thereby ensuring animals lead happy, healthy lives.
Veterinary & Animal Care Jobs refer to professions focused on the health and well-being of animals. These roles range from veterinarians who diagnose and treat animal diseases, to veterinary technicians and nurses who provide support in clinical settings. Other positions include animal caretakers, shelter workers, and wildlife rehabilitators. A key feature of these jobs is the combination of medical knowledge with a passion for animal welfare, often requiring hands-on care in various environments that may include clinics, zoos, farms, or shelters. These careers demand a unique blend of compassion, technical skills, and sometimes physical strength, all aimed at improving the lives of animals.
Work from home jobs, also known as remote jobs or telecommuting positions, are employment opportunities that allow individuals to work outside of a traditional office setting, typically from their homes. The primary feature of such jobs is the flexibility in terms of location, which enables a better work-life balance. These positions often rely on digital communication tools for collaboration and task management. Work from home jobs cover a vast range of industries and roles, from freelance writing to software development, and from virtual assistance to customer service. With the advent of advanced technology and high-speed internet, the prevalence of work from home jobs has markedly increased, offering a convenient alternative to the conventional 9-to-5 office job.
and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture. The Center for Data Science and Artificial Intelligence (CDSAi) is the 70-person innovative corporate Analytics group within New York Life.
l We are a rapidly growing entrepreneurial department which designs, creates, and offers innovative data-driven solutions for many parts of the enterprise. For more information on CDSAi, please visit our website ( /careers/corporate/data-science ). We have the freedom to explore external data sources and new statistical techniques and are excited about delivering a
whole new generation of predictive analytics and artificial intelligence solutions. In the 7 years of the existence of CDSAi we have built a lot of predictive modeling solutions that are being used by various areas in the company.
We have also stood up a modern model deployment platform that allows our models to be accessed in real time or batch (via APIs) from any production system in the company. In addition to several data science teams, CDSAi has a dedicated ML Ops team (for all infrastructure, data and model deployments), our own project management office, a model governance team, a development team (training, internships, media, events, other internal and external branding) and
data science product managers. This role will support our newly formed generative AI practice and report to the director of data science for generative AI.
The person in the role is expected to have prior experience with creating generative AI solutions for practical business use cases. NYL's CEO has expressed that he wants the company to be a leader in generative AI in our industry. Hence, this role has to opportunity to help build out that vision. Since not every data science project may require generative AI, expert-level familiarity with regular statistical predictive modeling methodologies and practice is also essential. Responsibilities Supports and helps build a generative AI practice within CDSAi.
This includes supporting use case development and associated stakeholder management in various business areas. It also means influencing infrastructure and tooling (in collaboration with ML Ops and IT), education of stakeholders and community, and governance (in collaboration with model governance team and Legal). Managing various stakeholders at the same level during solution design and project execution to successfully create solutions and deploy them into full production. Independently leads and contributes to data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and implementation support.
Demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits. Provides technical support, which includes strategic consulting, needs backssments, project scoping and the preparation/presentation of analytical proposals. Utilizes advanced statistical/ AI techniques to create high-performing predictive models and other solutions to address business objectives and client needs.
Tests new statistical and machine learning analysis methods, software and data sources for continual improvement of quantitative solutions. Implements analytical models into production by collaborating with technology and ML Ops teams. Utilizes data visualization tools for model testing, modeling results and data patterns exhibition. Design performance metrics for model selection and performance monitoring. Utilizes data wrangling/data matching/ETL techniques while programming in several languages to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets.
Deploys analytical solution in production systems. Works closely with the business areas, IT, Legal, Government relations and several other groups in designing, building, and implementing these solutions. Evangelizes the use of data-based decision making and Analytics within New York Life. Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with internal clients and stakeholders on project/test results, opportunities, questions.
Resolves problems and removes obstacles to timely and high-quality project completion. Works collaboratively with project and product managers within CDSAi and on other teams. Supports internal events, expos, lunch & learns, etc. with displays and presentations. Follows industry trends in insurance and related data/analytics processes and businesses. Functions as the analytics expert in meetings with other internal areas and external vendors. Contributes ideas and actively participates in proof-of-concept tests of new processes and technologies.
Stays up to date on existing and proposed legislation and regulation (on federal and state level) that impact AI in underwriting. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. Travels to events and vendor meetings as needed ( Required qualifications Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or similar. 4+ years of experience with predictive analytics using large and complex datasets.
Substantial expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series, etc. ) and non-parametric techniques (GBM, NN, NLP). Expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc. ), validation (holdouts, CV, bootstrap) and model performance measures (may need to create new ones). Substantial prior programming experience in languages such as R, Python, SPARK, SQL. Comfort with professional software development process and Git Hub.
Demonstrated expertise in deploying real-time models into production environments. This includes production-ready code, containerizing models, testing, and integration into business processes. Detailed recent NLP experience (basic techniques, large language models, transformers, etc. ) 2+ years of experience with generative AI solutions (both development and deployment/integration). Ideally this would include training, fine-tuning and prompt engineering. Experience with disparate impact testing vs. protected classes of statistical models is a plus.
Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is essential since you will have a lot of exposure to different internal groups (Business functions, Data, IT, Legal, Government Relations, etc. ) as well as third-party data vendors and consultants. Experience with insurance or consumer financial data is a plus. Location: 51 Madison Ave, Manhattan. Presence in the office is required Tuesday - Thursday. Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Click here to learn more about our benefits.
Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses " Be Good At Life.
" To learn more, please visit Linked In , our Newsroom and the Careers page of . Job Requisition ID: 89157 Nearest Major Market: Manhattan Nearest Secondary Market: New York City Job Segment: Testing, VP, Executive, Data Analyst, Scientific, Technology, Management, Data, Engineering Requisition #: 104303xyz X6ahf9io63
and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture. The Center for Data Science and Artificial Intelligence (CDSAi) is the 70-person innovative corporate Analytics group within New York Life.
l We are a rapidly growing entrepreneurial department which designs, creates, and offers innovative data-driven solutions for many parts of the enterprise. For more information on CDSAi, please visit our website ( /careers/corporate/data-science ). We have the freedom to explore external data sources and new statistical techniques and are excited about delivering a
whole new generation of predictive analytics and artificial intelligence solutions. In the 7 years of the existence of CDSAi we have built a lot of predictive modeling solutions that are being used by various areas in the company.
We have also stood up a modern model deployment platform that allows our models to be accessed in real time or batch (via APIs) from any production system in the company. In addition to several data science teams, CDSAi has a dedicated ML Ops team (for all infrastructure, data and model deployments), our own project management office, a model governance team, a development team (training, internships, media, events, other internal and external branding) and
data science product managers. This role will support our newly formed generative AI practice and report to the director of data science for generative AI.
The person in the role is expected to have prior experience with creating generative AI solutions for practical business use cases. NYL's CEO has expressed that he wants the company to be a leader in generative AI in our industry. Hence, this role has to opportunity to help build out that vision. Since not every data science project may require generative AI, expert-level familiarity with regular statistical predictive modeling methodologies and practice is also essential. Responsibilities Supports and helps build a generative AI practice within CDSAi.
This includes supporting use case development and associated stakeholder management in various business areas. It also means influencing infrastructure and tooling (in collaboration with ML Ops and IT), education of stakeholders and community, and governance (in collaboration with model governance team and Legal). Managing various stakeholders at the same level during solution design and project execution to successfully create solutions and deploy them into full production. Independently leads and contributes to data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and implementation support.
Demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits. Provides technical support, which includes strategic consulting, needs backssments, project scoping and the preparation/presentation of analytical proposals. Utilizes advanced statistical/AI techniques to create high-performing predictive models and other solutions to address business objectives and client needs.
Tests new statistical and machine learning analysis methods, software and data sources for continual improvement of quantitative solutions. Implements analytical models into production by collaborating with technology and ML Ops teams. Utilizes data visualization tools for model testing, modeling results and data patterns exhibition. Design performance metrics for model selection and performance monitoring. Utilizes data wrangling/data matching/ETL techniques while programming in several languages to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets.
Deploys analytical solution in production systems. Works closely with the business areas, IT, Legal, Government relations and several other groups in designing, building, and implementing these solutions. Evangelizes the use of data-based decision making and Analytics within New York Life. Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with internal clients and stakeholders on project/test results, opportunities, questions.
Resolves problems and removes obstacles to timely and high-quality project completion. Works collaboratively with project and product managers within CDSAi and on other teams. Supports internal events, expos, lunch & learns, etc. with displays and presentations. Follows industry trends in insurance and related data/analytics processes and businesses. Functions as the analytics expert in meetings with other internal areas and external vendors. Contributes ideas and actively participates in proof-of-concept tests of new processes and technologies.
Stays up to date on existing and proposed legislation and regulation (on federal and state level) that impact AI in underwriting. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. Travels to events and vendor meetings as needed ( Required qualifications Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or similar. 4+ years of experience with predictive analytics using large and complex datasets.
Substantial expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series, etc. ) and non-parametric techniques (GBM, NN, NLP). Expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc. ), validation (holdouts, CV, bootstrap) and model performance measures (may need to create new ones). Substantial prior programming experience in languages such as R, Python, SPARK, SQL. Comfort with professional software development process and Git Hub.
Demonstrated expertise in deploying real-time models into production environments. This includes production-ready code, containerizing models, testing, and integration into business processes. Detailed recent NLP experience (basic techniques, large language models, transformers, etc. ) 2+ years of experience with generative AI solutions (both development and deployment/integration). Ideally this would include training, fine-tuning and prompt engineering. Experience with disparate impact testing vs. protected classes of statistical models is a plus.
Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is essential since you will have a lot of exposure to different internal groups (Business functions, Data, IT, Legal, Government Relations, etc. ) as well as third-party data vendors and consultants. Experience with insurance or consumer financial data is a plus. Location:51 Madison Ave, Manhattan. Presence in the office is required Tuesday - Thursday. Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Click here to learn more about our benefits.
Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses " Be Good At Life.
" To learn more, please visit Linked In , our Newsroom and the Careers page of . Job Requisition ID:89157PDN-9977c3ef-cec6-4f14-ac16-cd743666fae7
