Installation/Repair Jobs involve the setup, maintenance, and fixing of systems and equipment in various industries. These roles require technical skills, problem-solving abilities, and often physical dexterity. Workers in these positions ensure machinery, electronic devices, and infrastructure operate efficiently and safely. They might work in settings like homes, factories, or public facilities, responding to service calls or performing routine checks. The feature that distinguishes these jobs is their hands-on nature and the necessity for keen attention to detail, as well as staying updated with current technologies and safety standards.
Installation/Repair Jobs involve tasks related to installing new systems or equipment and fixing or maintaining existing ones. These roles are critical in industries such as construction, technology, and automotive, where skilled professionals ensure that machinery, electronics, and structures function correctly and safely. The key features of these jobs include hands-on problem-solving, technical expertise, and often, a requirement to interpret blueprints or diagnostic information. Workers in this field must be detail-oriented, proficient with tools and technology, and adaptable to various work environments, from residential settings to factory floors.
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
Government jobs refer to positions employed within government agencies and departments at federal, state, or local levels. These roles often include benefits such as job security, competitive salaries, retirement plans, and health insurance. Additionally, government jobs can cover a vast array of fields, from administration to public safety, and often emphasize service to the community and the nation. Employment may also come with eligibility for special training opportunities and the possibility of contributing to policy and decision-making processes that shape society.
Government jobs refer to employment positions within various governmental agencies and departments. These roles are known for offering stability, competitive benefits, and pensions to their employees. They typically provide public services, and job security is often higher than in the private sector. Additionally, government jobs may require a level of clearance, and the hiring process can include stringent background checks. These positions range from administrative to specialized fields like defense, education, and healthcare, and they often emphasize serving the community and the nation as a whole.
Government jobs refer to employment positions within various governmental agencies and departments. These roles are known for offering stability, competitive benefits, and pensions to their employees. They typically provide public services, and job security is often higher than in the private sector. Additionally, government jobs may require a level of clearance, and the hiring process can include stringent background checks. These positions range from administrative to specialized fields like defense, education, and healthcare, and they often emphasize serving the community and the nation as a whole.
Government jobs refer to positions employed within government agencies and departments at federal, state, or local levels. These roles often include benefits such as job security, competitive salaries, retirement plans, and health insurance. Additionally, government jobs can cover a vast array of fields, from administration to public safety, and often emphasize service to the community and the nation. Employment may also come with eligibility for special training opportunities and the possibility of contributing to policy and decision-making processes that shape society.
Hospitality and travel jobs encompass a variety of roles within the service industry that cater to the needs of guests and travelers. These positions, found in hotels, resorts, airlines, cruise ships, and tourist attractions, are often characterized by their focus on customer satisfaction and the provision of enjoyable experiences. Key features of these jobs include interaction with people from diverse backgrounds, a dynamic working environment, and the necessity of strong communication and interpersonal skills. Many roles also demand flexibility with hours, as hospitality services typically operate round-the-clock to accommodate guests' needs.
Quality Assurance (QA) jobs involve ensuring that products and services meet certain standards of quality before they reach the consumer. Those in QA roles are responsible for developing and implementing testing processes, inspecting products for defects and non-compliance, and analyzing quality data to drive improvements. A key characteristic of QA positions is the focus on preventing errors rather than just correcting them, which necessitates a proactive approach and attention to detail. Additionally, QA professionals often collaborate closely with production teams to foster a culture of quality throughout an organization.
Real Estate Jobs encompass a variety of roles within the property industry, focusing on the buying, selling, leasing, and management of residential or commercial properties. This career path includes positions like real estate agents, brokers, property managers, and appraisers. Key features of these jobs often involve interpersonal communication, negotiation skills, legal knowledge, marketing strategies, and a deep understanding of local property markets. Real estate professionals might work in agencies, corporations, or independently, providing them with diverse opportunities but also necessitating adaptability and a commitment to continuous learning to stay current with market trends.
Work from home jobs, also known as remote jobs or telecommuting positions, allow employees to complete their professional tasks from a location outside the traditional office environment, often their own homes. These roles offer flexibility in terms of hours and location, and they can lead to a better work-life balance. They typically require a reliable internet connection, a functional workspace, and self-discipline. Remote work has grown in popularity due to advancements in technology and increased valuing of flexibility by both employers and employees, particularly in the aftermath of the COVID-19 pandemic.
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.
Work from home jobs, also known as remote jobs, allow employees to perform their duties outside of a traditional office environment, usually from their homes. These jobs are characterized by their flexibility in terms of location and often, work hours, enabling a better balance between work and personal life. They typically require a reliable internet connection and may be facilitated by digital tools like video conferencing and online collaboration platforms. While offering increased autonomy, they can also pose challenges in terms of self-discipline and effective communication.
