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Honeywell · 11 hours ago

Sr Advanced Data Scientist

Pittsford, NY

Full-time

Hybrid

Senior Level

$138K/yr - $173K/yr

5+ years exp

Honeywell is looking for a data driven professional to join its Data Science engineering team. In this role, you will design and build in-house analytical systems and integrate third-party solutions to enhance security insights using AI and ML technologies.

AerospaceElectronicsInformation TechnologyInnovation ManagementManufacturingService Industry

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques

Interact with 3rd parties to evaluate integration feasibility and licensing of technologies and analytic components

Design, prototyping, and implementation of new data-centric solutions

Effectively communicate and collaborate with local teams, international teams, and 3rd parties

Contribute to build versus buy decisions

Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life

Self-starter that can take minimal direction and deliver results

Curious problem solver

Qualification

PythonData miningGenerative AIETL operationsData visualizationSQLCloud servicesComputer visionProblem solvingCommunicationContinuous learning

Required

Minimum 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

Proficiency with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc

Minimum 5 years of experience in traditional programming languages such as Python, JavaScript, TypeScript

Comfortable in Windows and Linux environments

Due to U.S. export control laws, candidates must be U.S. citizen, U.S. permanent resident, or have protected status under asylum or refugee

Preferred

Expertise in building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks

Expertise in various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications

Expertise in building predictive and decision-making AI applications

Expertise using cloud services from AWS, Azure, or GCP to develop solutions

Expertise in computer vision and image/video analysis, including object detection, recognition, tracking, and identification

Expertise with many 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

Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies

Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences

Continuous learning mindset