Advanced Data Scientist

About the role

Honeywell is seeking a data-driven professional to join its Data Science engineering team. The role involves designing and building in-house analytical systems and evaluating/integrating third-party analytical components. Key responsibilities include developing new innovative solutions, integrating systems, and deploying state-of-the-art AI-ML models and data mining techniques to unlock new security insights.

Responsibilities

• Extend product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques.
• Interact with third parties to evaluate integration feasibility and licensing of technologies and analytic components.
• Design, prototype, and implement new data-centric solutions.
• Effectively communicate and collaborate with local teams, international teams, and third parties.
• Contribute to build versus buy decisions.
• Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as necessary to bring solutions to life.
• Take minimal direction and deliver results as a self-starter.
• Solve problems using analytical thinking, reconcile viewpoints, and evaluate technologies.

Qualifications

• BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.).
• 5+ years of experience in modern advanced analytical tools and programming languages, including Python with scikit-learn.
• Proficiency with exploratory data analysis.
• Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files.
• Experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc.
• 5+ years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C++, or C#.
• Comfortable in Windows and Linux environments.

Preferred Qualifications

• Experience in building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks.
• Experience in various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications.
• Experience in building predictive and decision-making AI applications.
• Experience using cloud services from AWS, Azure, or GCP to develop solutions.
• Experience in computer vision and image/video analysis, including object detection, recognition, tracking, and identification.
• Experience with application of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining.

Pay

The annual base salary range for this position is $130,000.00 - $162,000.00. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations.

Application Information

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.