Sr Advanced Data Analyst

Description

Honeywell is accelerating its AI / ML innovation journey through a robust secure and scalable Google Cloud Platform (GCP) environment. We are seeking an Sr Advanced Data Analyst to join our Engineering Tech Analytics team and help build enterprise-grade AI solutions that drive operational efficiency and strategic decision-making. We are looking for an experienced and driven Advanced Data Scientist to join our AI / ML team.

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.

Responsibilities

Key Responsibilities

• 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

Qualifications

Required Qualifications

Proficiency in front-end development (HTML CSS JavaScript React / Angular / ).

Compute : Compute Engine Cloud Functions Cloud Run GKE.

Required Experience :

Senior IC

Key Skills

Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics

Employment Type : Full-Time

Department / Functional Area : Data Analysis

Experience : years

Vacancy : 1