Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3rd party analytical components. You will develop new innovative solutions, evaluate & integrate 3rd party solutions, and deploy state-of-the-art AI-ML models and data mining techniques that leverage physical access control system datasets to unlock new security insights for end-user customers.
Do you enjoy integrating systems together, mashing-up datasets and analyzing them by leveraging state-of-the-art data mining, generative AI, and ML techniques to drive decision making? As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI systems and ML models to deliver analytical systems that improve forensic and real-time security outcomes. These analytical systems you develop in-house and those integrated from 3rd parties will extend the capabilities of our core product ecosystems.
responsibilities :
Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques.
Interact with 3rd parties to evaluate integration feasibility and licensing of technologies and analytic components
Design, prototyping, and implementation of new data-centric solutions
Effectively communicate and collaborate with local teams, international teams, and 3rd parties
Contribute to build versus buy decisions, self-starter that can take minimal direction and deliver results
Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life
requirements-expected :
BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)
Plus 5 years of experience in modern advanced analytical tools and programming languages, including Python with scikit-learn, proficiency with exploratory data analysis
Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files
Experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc.
Plus 5 years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C++;, or C#
Comfortable in Windows and Linux environments
offered :
Competitive Salary regularly increased based on your performance
Multisport Card, Medical Care, Life Insurance and Lunch Card
Employee Assistance Program - Free and confidential service to help with any difficulties regarding work, life and personal or family matters
In-house and external learning platforms (Udemy) with unlimited access to give you opportunities to develop
