Sr Advanced Data Scientist
Atlanta, GA - USA
Department:
Job Summary
As a Sr Advanced Data Scientist here at Honeywell you will leverage your expertise in advanced analytics and data science to develop innovative solutions that drive business growth and operational efficiency. You will work on complex data sets and cutting-edge technologies to extract actionable insights that influence strategic decisions.
You will work out of our Atlanta GA location on a hybrid work schedule.
In this role you will impact the companys ability to harness data-driven insights to optimize processes enhance product offerings and contribute to Honeywells leadership in technology innovation.
Responsibilities
KEY RESPONSIBILITIES
- The Sr Advanced Data Scientist role is expected to work within Honeywell to identify opportunities for new growth and efficiency based on data analyses and foster relationships with business team members by being proactive displaying a thorough understanding of the business processes.
- You will also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and also be responsible for defining the data acquisition strategy when required.
- After influencing scope and prioritizing the analytics pipeline you will assist in leading the technical execution of data science projects directing daily work of junior data scientists and will be responsible for the overall success of the project. This includes stakeholder management by presenting regular updates and final results to senior leadership of the customer organization.
- You will also be expected to actively participate in defining and governing our analytics strategy for
- Honeywell building out AI/ML capabilities of our Forge platform and promoting data science methods and processes across functions
- You will report to the Data Science Leader in Honeywell Connected Enterprise.
Qualifications
BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary leading-edge work and developing solutions side-by-side with dedicated experts in their fields Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical Dental Vision and Life Insurance; Short-Term and Long-Term Disability; 401(k) match Flexible Spending Accounts Health Savings Accounts EAP and Educational Assistance; Parental Leave Paid Time Off (for vacation personal business sick time and parental leave) and 12 Paid Holidays. For more information visit: click here
The application period for the job is estimated to be 40 days from the job posting date 4/3/2026; however this may be shortened or extended depending on business needs and the availability of qualified candidates.
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the worlds most critical challenges around energy safety security air travel productivity and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency productivity sustainability and safety in high growth businesses in broad-based attractive industrial end markets. Our products and solutions enable a safer more comfortable and more productive world enhancing the quality of life of people around the globe. Learn more about Honeywell: click here
THE BUSINESS UNIT
Honeywell Advanced Materials is an industry leading solutions provider playing a crucial role in advancing industries worldwide through diverse applications revolutionary inventions and pioneering technologies focused on high growth mega-trends. Our science and technology experts create solutions that help solve our customers needs today and in the future. Our solutions span across industries including retail healthcare and pharma buildings manufacturing and each of these verticals we bring deep materials and engineering knowledge which leads to our customers achieving reduction in energy consumption cutting down their carbon emissions and improving their operational efficiencies.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age race creed color national origin ancestry marital status affectional or sexual orientation gender identity or expression disability nationality sex religion or veteran status. Learn more about inclusion and diversity :click here
YOU MUST HAVE
- Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised unsupervised reinforcement learning etc.) in a commercial setup.
- Minimum of 4 years of full time Machine Learning experience applied on top of processes systems and hardware in a commercial setup.
- Minimum of 3 years of experience with distributed storage and compute tools (e.g. Spark)
- Minimum of 3 years experience developing and deploying machine learning models on cloud platforms (e.g. AWS Azure GCP etc.)
- Minimum of 2 years of experience in deep learning frameworks like PyTorch Tensorflow Keras
- Minimum of 2 years Experience with designing building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs
WE VALUE
- Bachelors degree or Advanced degree in Computer Science Statistics Mathematics or related discipline.
- Masters degree in computer science Engineering Applied Mathematics or related STEM field
- PhD degree in Computer Science Engineering Applied Mathematics or related STEM field
- Experience with MLOPS best practices and implementations
- Experience with LLM and Natural Language Processing models
- Experience working with remote and global teams
- Results driven with a positive can-do attitude
Required Experience:
Senior IC
Key Skills
About Company
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability ... View more