Lead Data Scientist
Honeywell
Data Science
Atlanta, GA, USA
Posted on Mar 19, 2026
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 Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
YOU MUST HAVE:
- Qualified candidates will possess a Bachelor’s degree (or foreign equivalent) in Data Science, Information Systems, Economics, Math, Finance, Business, Electronic Engineering, or related field and 5 years of industry experience designing, developing and implementing data-driven solutions across functional areas.
- Must have 3 years of experience with the following: experience in data analytics, and delivering actionable business insights; machine learning experience applied to real world processes, systems and infrastructure in a commercial environment; proven experience leading delivery of AI projects; proven experience and highly proficient in data extraction and data manipulation using SQL, visualization and reporting.
- Telecommuting permitted up to 2 times per week.
ADDITIONAL INFORMATION:
- Job Site: Atlanta, GA
- 40 hours/week
- Eligible for Employee Referral Program: $1500
- If offered employment must have legal right to work in U.S. EOE.
Lead Data Scientist for Honeywell International, Inc. (Atlanta, GA)
RESPONSIBILITIES:
- Provide insights, data analysis and predictive analytics in support of eCommerce digital and other functional initiatives.
- Design and implement statistical and ML based methods to create models, identify changes in customer behavior and forecast ecommerce results.
- Require a strong foundation in machine learning, predictive analytics and NLP.
- Collaborate with functional teams to deliver AI/ML/LLM solutions that drive business impact.
- Support data analytics and reporting for business functions.
- Present data-based recommendations and “tell the story” that enables effective decision-making.
- Provide thought leadership as it relates to analytics.
- Provide database systems support, end-to-end development support and technology upgrade oversight
- Lead the delivery of machine learning solutions like forecasting, churn prediction, NLP, and ecommerce analytics use cases.
- Lead initiatives using NLP to extract insights from unstructured data for use cases including root-cause analysis.
- Guide dashboard development (Tableau/Power BI) and data storytelling to communicate insights effectively to technical and non-technical stakeholders.
- Mentor junior data analysts and promote best practices in ML development and data analytics.
- Collaborate with cross functional teams to drive strategic outcomes.