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About the Role
As the Lead Data Scientist supporting Commercial Excellence at Honeywell Aerospace, you will help shape how advanced analytics, machine learning and agentic AI transform commercial decision making across the entire commercial and pricing functions. You will work at the intersection of business strategy and emerging technology, partnering directly with commercial leaders to identify high value opportunities and turn complex business challenges into intelligent, scalable solutions driving real business outcomes. You will lead the hands-on development of predictive models, optimization algorithms, AI agents, and decision support tools – from early experimentation through supporting production deployment. This role offers the opportunity to influence commercial strategy, drive measurable financial outcomes, and help establish next generation AI capabilities across Honeywell Aerospace. You will also provide technical leadership and mentorship to Data Scientists and Data Analysts, helping build advanced analytics capabilities within the Commercial Analytics Lab.
Responsibilities
- Lead the development of advanced analytics, machine learning, and optimization models supporting commercial decision-making.
- Design and deploy predictive and prescriptive models across pricing, sales performance, forecasting, marketing analytics, and commercial strategy.
- Translate complex business problems into scalable analytics solutions and decision frameworks.
- Guide model development best practices including feature engineering, model validation, experimentation, and performance monitoring.
- Design, develop and deploy AI agents and agentic workflows that automate complex commercial processes and enable intelligent decision making.
- Build solutions leveraging large language models (LLMs), retrieval augmented generation (RAG), and orchestration frameworks to connect AI with enterprise data and business systems.
- Develop AI commercial assistants and autonomous or supervised workflows supporting pricing, sales, proposals and commercial operations.
- Partner with business and technology teams to prototype, evaluate and operationalize AI solutions with appropriate guardrails, monitoring and oversight.
- Partner directly with commercial and pricing leaders to identify business challenges, assess opportunities and translate business needs into high impact analytics and AI solutions.
- Develop AI decision support tools that improve pricing effectiveness, sales productivity, sales outcomes and commercial planning and strategy.
- Build predictive models and ML classifiers supporting use cases such as price optimization, demand forecasting, win rate prediction and opportunity prioritization.
- Translate complex analytical findings into clear business recommendations, actionable insights, and measurable outcomes.
- Provide technical mentorship and guidance to an Advanced Data Scientist, supporting their development in machine learning, experimentation, and decision science methods.
- Promote best practices in model development, experimentation design, and analytics reproducibility.
- Foster collaboration between data scientists, analytics engineers, and commercial stakeholders.
- Help build scalable data science capabilities within the commercial analytics organization.
Requirements
- 5+ years of experience in data science, machine learning, advanced analytics, decision science, or applied AI
- Strong proficiency in Python and experience developing and deploying machine learning models
- Experience working with cloud data platforms such as Databricks, Google Cloud Platform, Snowflake, or Microsoft Fabric
- Demonstrated ability to translate ambiguous business challenges into analytical approaches and practical, scalable solutions
- Experience collaborating directly with business stakeholders to define requirements, communicate insights and deliver measurable business value
- 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.
Skills
- Python
- Machine learning models
- Databricks
- Google Cloud Platform
- Snowflake
- Microsoft Fabric
- AI agents
- LLM powered applications
- RAG solutions
- Multi agent workflows
- LangGraph
- LangChain
Location
- Phoenix, AZ (preferred)
- Charlotte, NC
Work Type
- Hybrid Work Schedule
- Up to 10% Travel
Experience Level
- 5+ years of experience
Benefits
- Employer-subsidized medical, dental, vision and life insurance
- Short-term and long-term disability coverage
- 401(k) match, flexible spending accounts and health savings accounts
- Employee assistance program and educational assistance
- Parental leave and 12 paid holidays
- Paid time off for vacation, personal and sick time
About the Company
- Join a company that's reintroducing itself to the aviation community we've helped advance for more than a century. At Honeywell Aerospace (NASDAQ: HONA), we're launching as an independent, publicly traded aerospace and defense company built on a legacy of operational excellence and mission-focused execution. Our new brand identity pairs that heritage with real momentum, as we build technology that helps pilots navigate with confidence, aircraft operate more efficiently, and operators stay ahead of change. With our systems on board 90% of the world's aircraft, your work here has reach that's rare to find anywhere else. Focusing on our customers, investing in innovation, and building a culture of accountability and performance is how we're shaping what comes next. Honeywell Aerospace products and services are found on aircraft across commercial aviation, defense and space. We operate through three business areas: Electronic Solutions develops the avionics, navigation systems, sensors and electromagnetic defense technology on board 90% of the world's aircraft Engines & Power Systems provides the propulsion, auxiliary power and electrical systems that keep those aircraft flying Control Systems supplies the thermal and motion control systems that support takeoff, landing and the safety of everyone on board. With approximately 58,000 employees worldwide and net sales of $17.4B in 2025, we are also advancing systems for autonomous and supersonic platforms — bringing the same focus on safety and efficiency to the next era of flight.