Data Scientist

Honeywell

Advanced Data Scientist developing and integrating AI-ML solutions for security insights at Honeywell. Working with data engineering and forensic outcomes in a hybrid environment.

Posted 7/7/2026full-timePittsford • New York • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $162,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformJavaScriptLinuxPythonScikit-LearnSQLTableauTypeScript

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
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

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Honeywell Website LinkedIn All Job Openings 10,000+ employees 🚀 Aerospace ⚡ Energy Aerospace
Energy
Manufacturing Honeywell is a diversified multinational technology and manufacturing company that delivers hardware, software and services across aerospace, industrial and commercial markets. It provides aircraft systems and avionics, building and industrial automation, energy and sustainability solutions, safety and productivity tools, and enterprise software platforms (like Honeywell Forge) for operational optimization and OT cybersecurity. Honeywell serves customers in aerospace, manufacturing, utilities, healthcare, oil & gas, retail and logistics, and focuses on digital transformation, automation and energy transition. Data Scientist 🔥 31 minutes ago 🏢🏡 Pittsford – Hybrid 💵 $130k - $162k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist 🦅 H1B Visa Sponsor Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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 🎯 Requirements
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
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 Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

Data MiningMachine Learning TechniquesStatistical ModelingPredictive AnalyticsComputer VisionSQLREST APIsData AnalysisProgramming Languages (JavaScript, TypeScript, C++, C#)Deployment Topologies

Soft Skills

Problem SolvingEffective CommunicationCollaborationCuriositySelf-Starter