Color Cosmetic Chemist | Mount Vernon, NY

prioritize the work based on upper management direction and raw material availability. Work on new shades and customize formulation upon client briefs or internal projects, making sure the texture is kept within the specification and match the texture standard.

Work directly with clients on site or remotely if needed. Upon shade approval, ensure the shades are communicated to the scale up team Work with production and assist when needed, and ensure all new formulation are being transferred and reproducible in production. Participate actively to the organization of laboratory Keep track of all raw materials and organize them in the most efficient way. Anticipate raw materials availability

for every project and communicate with project managers and upper management if delays are happening. Maintain and organize the color library Communicate and collaborate with the chemists and labs on the other Intercos labs (Italy, LA, Brazil, Korea, China).

Verify and correct formulas as necessary. Ensure that all projects are done through the use of the internals software's specific to the company. Ensure that all testing's needed for all approved formulas are being performed when needed Record and review all activity on a weekly basis with the manager. DEPARTMENT/REPORTING RELATIONSHIPS Report to the Color Development lab manager (vacant position)Direct reports: Chemists/technicians

QUALIFICATIONS Education/Certification: Bachelor's Degree in any related science, such as chemistry, Biology, Physics, etc.

Required Knowledge: Color perception and color matching skills, Formulation skills in all color cosmetics technologies, raw material knowledge (especially pigments), scale up experience, production experience, client oriented Experience Required: 5-7 years relevant work experience in color cosmetics formulation with shade matching experience Skills/Abilities : Computer, DEVEX and SAP ERP system Strong written and oral communication skills including meeting with customers and presentations to management Experience communicating and collaborating with clients and global partners Experience managing multiple projects with competing resources and deadlines Ability to be creative and technical Self-starter attitude and the ability to be a team player within a fast-paced team Knowledge of formulation, manufacturing processes, ability to solve problems

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Science Jobs are career positions specifically within the wide domain of science, spanning across various disciplines including biology, chemistry, physics, and environmental science, among others. These jobs often feature a focus on research, development, innovation, and exploration. They can be found within academic institutions, private sector companies, research organizations, and government agencies. Characteristics of science jobs include a strong emphasis on analytical skills, problem-solving, critical thinking, and a commitment to continuous learning to keep pace with evolving scientific knowledge and technological advancements.

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