Advanced Data Scientist

The future is what you make it. When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars. Working at Honeywell isn’t just about developing cool things. That’s why all of our employees enjoy access to dynamic career opportunities across different fields and industries. Are you ready to help us make the future?

Join a company that is transforming from a traditional industrial company to a contemporary digital industrial business, harnessing the power of cloud, big data, analytics, Internet of Things, AI/ML (Machine Learning), Automation and design thinking. You will support change that brings value to our customers, partners, and shareholders through the creation of innovative software and data-driven products and services. You will help engineer contemporary applications and services, constructing solutions that remain scalable, adaptable and replicable. You will be part of transforming Honeywell's IT organization through the delivery of technology products that will directly impact the company's growth.

You will be part of the IT Information Management & Analytics team and in this role, you will at the forefront of implementing state-of-the-art Generative AI, Machine Learning and AI Cognitive Services enhanced business use cases. This Advanced Data Scientist role will work with the business stakeholders, IT business partners, functional consultants, and infrastructure/technology teams to deliver innovative AI technology solutions that accelerate digital transformation and drive operational efficiency as well as business growth. You will focus primarily on the full cycle delivery of AI/ML use cases from requirements/design to release, driving the evolution of AI/ML infrastructure/process, and enabling Intelligent Apps & Automation, next generation of AI Copilots/Assistants, etc.

Key Responsibilities:

• Spearhead the development and implementation of advanced Generative AI large language models, Machine Learning and Deep Learning Models/algorithms to enhance and/or automate existing business processes with predictive and intelligent decision-making, content aggregation and contextualized insights.
• Design and execute experiments to improve the understanding, performance, and scalability of LLMs.
• Analyze and interpret complex datasets to discover underlying trends and patterns that are relevant for solving business problems. Select features and perform proper data transformation to optimize datasets for building the models.
• Evaluate, visualize, and communicate the AI/ML model results and correlation with business KPI’s.
• Partner and effectively communicate with Non-IT / Business users, functional counterparts, and stakeholders to understand the underlying business problem and collaborate with cross-functional teams to create and integrate Gen AI-driven solutions that address key business challenges.
• Keep abreast of the latest developments in AI, machine learning, natural language processing, and generative models. Incorporate cutting-edge research and techniques into practical applications and solutions.
• Work within project planning constraints, communicating any identified project risks and issues to the delivery/project manager and provide inputs to the change control process.
• Act as a subject matter expert and mentor to junior data scientists and engineers. Encourage a culture of continuous learning and innovation within the team.
• Ensure models and algorithms comply with ethical AI principles and data privacy regulations. Promote responsible and fair use of AI technologies.
• Continuously monitor and evaluate the performance of deployed models, making iterative improvements to ensure they remain effective and relevant.
• Contribute to the strategic planning of AI initiatives, helping to set the direction for future projects and investments in AI.

YOU MUST HAVE

• Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 4-6 years of experience in data science with a focus on AI/ML, including significant experience with generative AI and LLMs.
• Hands-on experience in LLM engineering and LLMOps, including advanced prompt engineering and fine-tuning of LLMs.
• Demonstrated expertise in natural language processing, machine learning, and statistical analysis.
• Strong programming skills in Python, and familiarity with AI/ML frameworks like TensorFlow or PyTorch.
• Proven track record of leading and delivering AI projects successfully.
• Excellent problem-solving, analytical, and communication skills.

WE VALUE

• PhD in Artificial Intelligence, Data Science, or a related field.
• Published work in the field of Generative AI or LLMs.
• Understanding of application development framework like LangChain, LlamaIndex, and knowledge of vector index, vector databases.
• Experience with developing AI/ML solutions in Databricks.
• Working Experience in an Agile/Scrum/Scaled Agile and DevOps based team environment.
• Certifications/ Course work in Generative AI, AI/ML and Cloud platforms.
• Familiarity with ethical AI practices and data governance.