Honeywell

Advanced Data Scientist

Honeywell • $130K — $162K *
Pittsford, NY 14534In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

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

Responsibilities

  • Develop and deploy analytical systems using data mining, generative AI, and ML techniques
  • Evaluate integration feasibility and licensing with 3rd party technologies
  • Design and implement new data-centric solutions
  • Collaborate with teams locally and internationally
  • Contribute to build vs. buy decisions for technical solutions
  • Work closely with Product Management and end users to realize solutions
  • Demonstrate self-starter attitude with minimal direction

Benefits

  • Opportunities for continuous learning and development
  • Collaborative working environment with both local and international teams
  • Participation in cutting-edge projects utilizing generative AI and ML
  • Access to state-of-the-art tools and technologies
  • Engagement in a dynamic field focused on security improvements
Full Job Description
Job Description

Honeywell 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. You will develop new innovative solutions, evaluate & integrate 3rd party solutions, and deploy state-of-the-art AI-ML models and data mining techniques that leverage physical access control system datasets to unlock new security insights for end-user customers.

Do you enjoy integrating systems together, mashing-up datasets and analyzing them by leveraging state-of-the-art data mining, generative AI, and ML techniques to drive decision making? As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI systems and ML models to deliver analytical systems that improve forensic and real-time security outcomes. These analytical systems you develop in-house and those integrated from 3rd parties will extend the capabilities of our core product ecosystems.

Responsibilities

KEY 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


Qualifications

YOU MUST HAVE

  • 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


WE VALUE

  • 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


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.

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. Job Posted: July 7, 2026

U.S. PERSON REQUIREMENTS

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

About Honeywell

Honeywell Aerospace is an American company that manufactures aircraft engines, avionics, auxiliary power units (APUs), and other aviation products. The company’s product portfolio includes space equipment, turbine engines, auxiliary power units, brakes, wheels, synthetic vision, runway safety systems and other avionics. President Barack Obama awarded a Honeywell employee the National Medal of Technology for his contributions to air flight safety technology. The company also owns a number of patents related to NextGen technology, aircraft windshields, turbochargers, and more. Honeywell Aerospace was founded in 1936 and is headquartered in Phoenix, Arizona.

Honeywell Careers

Joining Honeywell offers more than just job opportunities; it's a chance to grow with a company known for leadership in innovation and diversity. As a global leader, Honeywell is where your professional journey can reach new heights through a commitment to excellence and continuous improvement.

Work You'll Do

At Honeywell, you'll be part of a team that drives digital transformation across industries. With a focus on sustainability and advanced technologies, Honeywell is not just preparing for the future; we're creating it. Our diverse and inclusive culture fuels our innovation and connects us closer to our customers and the communities in which we operate.

Innovate and Lead

Embrace the opportunity to lead in the marketplace with Honeywell's cutting-edge solutions. Our leadership in areas such as aerospace, building technologies, and performance materials allows you to engage in work that makes a difference. Honeywell is at the forefront of tackling global challenges with innovative technology that improves quality of life.

Career Growth and Opportunities

Whether you're looking for an internship, a graduate role, or a leadership position, Honeywell offers a path to career success. Honeywell's commitment to professional growth is evident in our extensive training and development programs, aimed at expanding your skills and advancing your career.

Join a Dynamic Team

Honeywell's team culture is built on collaboration and respect. With a global team of professionals, you'll network with some of the brightest minds, working together to solve complex challenges. Our commitment to diversity and inclusive growth makes Honeywell not just a great place to work, but a place where your career can thrive.

Benefits and Culture

Honeywell is dedicated to providing employees with a life-work harmony through substantial benefits, including health, education, and retirement plans, ensuring peace of mind for you and your family. Our culture promotes quick learning, flexibility, and adaptation, which are critical in our fast-evolving industries.

Explore Job Opportunities

Discover the range of career opportunities at Honeywell, from engineering to sales, and contribute to our mission of shaping the future. Our hiring process is designed to find not just the right skills but also the right fit for Honeywell's culture.

Stay Connected

Join the Honeywell team to stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here.

Apply Now

Ready to apply? Check out the open positions on the Honeywell Careers page. Tailor your resume, prepare for your interview, and take the first step towards a rewarding career at Honeywell.

Keep Up to Date

Stay informed with the latest news, job alerts, and professional insights tailored to your interests. At Honeywell, your career journey is just beginning.

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Join Honeywell and be part of a team that is dedicated to building a smarter, safer, and more sustainable world.
Learn more about Honeywell
Size
99,000 employees
Market Cap
$143.4 billion
Industry
Manufacturing & Automotive
Net Income
$4.7 billion
Founded
1906
5 Year Trend
-2.6%
Revenue
$32.6 billion
NASDAQ
HON
* Ladders Estimates

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