Sr Advanced Data Analyst

Google Cloud Platform (GCP)

As a Sr Advanced Data Analyst at Honeywell, you will take on an exciting role that involves driving AI initiatives and developing cutting-edge tools that enable Honeywell to scale and maximize value. This opportunity is perfect for someone interested in technical product management while building and utilizing AI to revolutionize business and data science processes.

In this position, you will collaborate closely with cross-functional teams to fully grasp business requirements and harness the potential of GenAI and AI agents. By applying advanced analytics techniques to large datasets, you will significantly impact decision-making processes and drive impactful business outcomes. You will have the exciting opportunity to engage in diverse projects and collaborate with a talented team of data scientists committed to delivering innovative solutions.

This role is particularly ideal for individuals eager to take on greater responsibilities in the future. Your contributions in driving AI innovation will position you well for advancement into leadership roles, where you can further influence team dynamics and strategy.

If you are motivated by the challenge of working in a fast-paced, high-energy environment and are enthusiastic about building and utilizing AI to make a tangible difference, I invite you to join our dynamic team at Honeywell.

• Bachelor s/Master s in Computer Science, Data Science, or related field.
• 10+ years of professional full-stack development experience, with a focus on GCP
• Hands-on experience with GCP AI/ML services.
• Proven experience with GCP AI/ML services and architecture
• Strong programming skills in Python.
• Solid understanding of data structures, algorithms, and complexity analysis
• Experience with CI/CD tools and version control (e. g. , Git, Airflow).
• Experience integrating large language models (LLMs) like Google Gemini into production applications.
• Technical skills:
  • Proficiency in front-end development (HTML, CSS, JavaScript, React/Angular/Vue. js).
  • Deep expertise in Google Cloud Platform (GCP) services including:
  • Vertex AI, BigQuery, Data Catalog, Cloud Functions, Cloud Composer, and Google Kubernetes Engine (GKE)
  • Exposure to GenAI platforms: Gemini 2. 0, Gemini 1. 5 Pro, GPT-4o, etc
• Strong programming skills in Python & Familiarity with prompt engineering and fine-tuning techniques for LLMs
• Strong understanding of networking, firewalls & Terraform scripts
• Expertise in back-end development with languages such as Python Node. js, or Java.
• Deep knowledge of Google Cloud Platform (GCP) services, including:
  1. Compute: Compute Engine, Cloud Functions, Cloud Run, GKE.

1. Data & AI: Vertex AI, Gemini API, BigQuery, Cloud SQL, Firestore.
2. DevOps & Tools: Cloud Build, Cloud Monitoring, Terraform.

• Experience with containerization (Docker) and orchestration (Kubernetes).
• Proficiency with version control systems, especially Git.

• Design, develop, and deploy full-stack applications using modern frameworks and GCPs cloud-native services.
• Integrate generative AI functionalities by using the Gemini API and models (e. g. , Gemini 1. 5 Pro) in application workflows.
• Build and manage server-side logic and APIs using languages like Python.
• Develop AI features such as content generation, text summarization, classification, and conversational experiences, using Gemini via Vertex AI Studio or the API.
• Design, manage, and optimize databases and data pipelines on GCP, using services like BigQuery, Cloud SQL.
• Use DevOps practices and GCP services like Cloud Run, GKE, and Vertex AI Pipelines to automate CI/CD, deployment, and the model lifecycle.
• Monitor and optimize application performance, security, and cost efficiency on GCP.
• Design and Implement AI/ML models using GCP services (Vertex AI, BigQuery ML, AutoML).
• Develop and implement machine learning and GenAI models to solve complex business problems.
• Customize and fine - tune large language models (LLM) to fit compliance, audit, finance, etc. specific data.
• Work with cross-functional teams to comprehend business requirements and deliver data-driven solutions.
• Stay updated with the latest advancements in data science, machine learning, and GenAI.
• Mentor junior data scientists and help develop talent within the team