Lead Data Scientist

Join a team recognized for leadership, innovation, and diversity.

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.

Reporting to the Senior Manager, Commercial Lab – Advanced Analytics & AI, 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

Advanced Analytics & Machine Learning Leadership

• 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.

Generative AI & Agentic Solution Development

• 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

Commercial Decision Science & Business Impact

• 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 uses 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

Mentorship & Technical Leadership

• 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.

Qualifications

You Must Have

• 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

US PERSON REQUIREM