Data Scientist II

Conducting research aligned with the roadmaps to de-risk, mature, and incorporate advanced AI concepts into Honeywell products, focusing on the latest advancements in generative AI, causal modeling, knowledge graphs, machine learning, and deep learning techniques. Research, design, and implement scalable AI-based solutions to address high-value and complex customer challenges, thereby fostering new growth opportunities. Lead prototyping activities to support pilot programs for research and development purposes. Collaborate with cross-functional teams to devise data-driven solutions. Take ownership of problem analysis, stakeholder engagement, solution design, front-end and back-end integration, maintenance, and support of data science and analytics solutions. Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes. You Must Have: - Bachelor's/Master's degree in Engineering, Applied Mathematics, or a related field. - Strong analytics skills, including the ability to evaluate data, derive insights, and provide recommendations. - Proficiency in manipulating data sets and constructing statistical models. - Strong problem-solving skills with a focus on product development. - Chemical engineers with APC/APM experience will have an added advantage. - Experience supporting fast-paced startup engineering teams. - In-depth knowledge of the latest trends and advancements in AI and ML, particularly in generative models and LLM (both Cloud and OnPrem). - Proficiency in programming languages and libraries. - Cloud expertise in AWS and Azure. - Proficiency in languages such as Advanced Python, pySpark. - Familiarity with frameworks like Lambda, Django, Express. - Experience with databases like Postgres, Mongo, ES. - Hands-on experience in design and development, including Automated Unit testing (pyTest), with a robust technical background to create high-performance and scalable applications. - Minimum of 4 years of relevant experience in data science-related product development.,