Advanced Data Scientist

Responsibilities:

• Conduct research aligned to roadmaps to de-risk, mature, and insert advanced AI concepts into Honeywell products (latest advancements in Generative AI, Causal AI, Knowledge Graphs, Machine Learning, and Deep Learning techniques).
• Research, design, and implement scalable AI-based solutions to solve high-value, challenging customer problems and drive new growth opportunities.
• Lead prototyping (what-if) efforts supporting pilot programs for R&D purposes.
• Collaborate 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:

• Overall 6 to 9 years of experience.
• Bachelor's or Master's degree in Engineering, Applied Mathematics, or a related field.
• Strong analytics skills with the ability to assess data, extract insights, and make recommendations.
• Experience 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 AI and ML trends, especially generative models and LLMs (Cloud and On-Prem).
• Proficiency in programming languages and libraries.

Technical Skills:

• Cloud Platforms: AWS, Azure
• Languages: Advanced Python, PySpark
• Frameworks: Lambda, Django, Express
• Databases: Postgres, MongoDB, Elasticsearch
• Testing: Automated unit testing with PyTest
• Hands-on experience in design and development of performant, extensible applications

Experience Requirement:

• Minimum 6 years of overall experience
• Minimum 4 years of relevant experience in data science-related product development