Advanced Data Scientist

Responsibilities:- Conducting research aligned to the roadmaps to de-risk/ mature and insert advanced AI concepts to Honeywell products (latest advancements in generative AI / Causal / Knowledge Graphs, machine learning, and deep learning techniques ) Researching, designing, implementing, scalable AI based solutions to solve high value & challenging customer problems and drive opportunities for new growth Leads prototyping (what-ifs) supporting pilot programs for R&D purposes. Collaborating with cross-functional teams to develop data-driven solutions. Responsible for problem analysis, stakeholder interaction, 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:- Over all 6 to 9 yrs Experience Bachelors / master s degree in engineering, Applied Mathematics or related field Strong analytics skills: ability to assess data, drive insights, and make recommendations. Strong experience in manipulating data sets and building statistical models. Strong problem-solving skills with an emphasis on product development. Experience supporting fast-paced startup engineering teams In-depth understanding of the latest trends and developments in AI and ML, especially in generative models and LLM (both Cloud and OnPrem) Proficiency in programming languages & libraries Cloud: AWS, Azure. Languages: Advanced Python, pySpark Framework: Lambda , Django, Express. Database: Postgres, Mongo, ES Hands on experience in Design and development including Automated Unit testing (pyTest) with strong technical background to create performant & extendible applications Over all 6 years & Minimum 4 years of relevant experience in data science related product development