Data Scientist II

• onducting 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 ) R
• esearching, designing, implementing, scalable AI based solutions to solve high value & challenging customer problems and drive opportunities for new growth L
• eads prototyping (what–ifs) supporting pilot programs for R&D purposes. C
• ollaborating with cross-functional teams to develop data-driven solutions. R
• esponsible for problem analysis, stakeholder interaction, solution design, front end and back-end integration, maintenance, and support of data science and analytics solutions D
• evelop guidelines and standards for analytics and machine learning models, their deployment, and associated processes

ou Must Have: B

• achelors / Master’s degree in Engineering, Applied Mathematics or related field S
• trong analytics skills: ability to assess data, drive insights, and make recommendations. S
• trong experience in manipulating data sets and building statistical models. S
• trong problem-solving skills with an emphasis on product development. C
• hemical engineers with APC/APM experience shall be added advantage E
• xperience supporting fast-paced startup engineering teams I
• n-depth understanding of the latest trends and developments in AI and ML, especially in generative models and LLM (both Cloud and OnPrem) P
• roficiency in programming languages & libraries C
  • loud: AWS, Azure. L
  • anguages: Advanced Python, pySpark F
  • ramework: Lambda , Django, Express. D
  • atabase: Postgres, Mongo, ES H
• ands on experience in Design and development including Automated Unit testing (pyTest) with strong technical background to create performant & extendible applications M
• inimum 4 years of relevant experience in data science related product development