Sr Advanced Data Scientist
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Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
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
- Develop and implement advanced data science models and algorithms to solve complex business problems.
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
- Analyze large and diverse data sets to identify trends patterns and opportunities for improvement.
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
- Extensive experience in advanced data analysis statistical modeling and machine learning techniques.
- Strong proficiency in programming languages such as Python or R with experience in relevant data science libraries and tools.
- Expertise in handling large-scale data sets and applying data mining and predictive analytics to generate business insights.
- Experience with cloud platforms and big data technologies is highly desirable.
WE VALUE
- Bachelors degree or Advanced degree in Computer Science Statistics Mathematics or related discipline.
- Proven track record of delivering impactful data science projects in a business environment.
- Strong problem-solving skills and ability to work collaboratively in cross-functional teams.
- Familiarity with data visualization tools and techniques to communicate findings effectively.
- Knowledge of industry-specific applications and trends in data science.
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
