Honeywell · 19 hours ago
Data Scientist II
Pittsford, NY, United States
Full-time
Onsite
Entry, Mid Level
$99K/yr - $124K/yr
2+ years expHoneywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3rd party analytical components. The role involves developing innovative solutions and deploying AI-ML models to enhance security insights for customers.
AerospaceElectronicsInformation TechnologyInnovation ManagementManufacturingService Industry
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
Required
BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)
2 years of experience in modern advanced analytical tools and programming languages, including Python with scikit-learn
Some experience with exploratory data analysis
Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files
Basic experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc
2 years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C plus plus or C#
Comfortable in Windows and Linux environments
Preferred
Some exposure to building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks
Basic understanding of various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications
Basic understanding of building predictive and decision-making AI applications
Some exposure to using cloud services from AWS, Azure, or GCP to develop solutions
Awareness of computer vision and image/video analysis, including object detection, recognition, tracking, and identification
Some exposure 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
Employer subsidized Medical
Dental
Vision
Life Insurance
Short-Term and Long-Term Disability
401(k) match
Flexible Spending Accounts
Health Savings Accounts
EAP
Educational Assistance
Parental Leave
Paid Time Off (for vacation, personal business, sick time, and parental leave)
12 Paid Holidays
Company
Honeywell
Honeywell is a technology and manufacturing company that produces products for the automation, aviation, and energy transition industries.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$11.4M2009-10-27Grant· $11.4M
1985-09-27IPO
Leadership Team
Jim Masso
President & CEO - Honeywell Process Solutions
Vimal Kapur
Chairman and Chief Executive Officer
Recent News
IndiaTimes
2026-02-06
2026-02-06
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