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Honeywell · 8 hours ago

Advanced Data Scientist

Pittsford, NY, United States

Full-time

Onsite

Mid, Senior Level

$124K/yr - $155K/yr

5+ years exp

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. In this role, you will be responsible for providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects.

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

Machine LearningStatistical ModelingData AnalysisPythonETL OperationsData VisualizationCloud ServicesProblem SolvingCommunicationContinuous Learning

Required

Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics

BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)

At least 5 years of experience in modern advanced analytical tools and programming languages, including Python

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

At least 5 years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C or C#

Comfortable in Windows and Linux environments

Preferred

BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)

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

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