Data Scientist

• Design, develop, and validate statistical, machine learning, and AI models using rigorous experimentation and evaluation methods to ensure accuracy and business applicability.
• Build and deploy predictive and prescriptive models, incorporating business constraints, and continuously monitoring model performance to ensure reliability and ongoing value.
• Perform data acquisition, integration, and cleansing, and develop scalable workflows and scripts to support the deployment and operationalization of analytical solutions.
• Identify patterns, trends, and hidden relationships within complex datasets to uncover insights and recommend strategic opportunities to business leaders.
• Serve as a subject matter expert to leadership by conducting both proactive and ad hoc analyses, translating data into actionable recommendations that influence decision-making.
• Communicate analytical findings through clear storytelling, visualizations, and decision-ready reporting tailored to both technical and non-technical audiences.
• Collaborate cross-functionally to develop and implement machine learning and AI solutions from ideation through deployment, ensuring alignment with business objectives.
• Develop and deliver standardized and ad hoc reporting that translates data into actionable insights while supporting ongoing business monitoring and decision-making.
• Stay current on emerging AI/ML trends, tools, and methodologies,

Textron Specialized Vehicles Inc. is a leading global manufacturer of golf cars, utility and personal transportation vehicles, professional turf-care equipment, and ground support equipment. Textron Specialized Vehicles markets products under several different brands. Its vehicles are found in environments ranging from golf courses to factories, airports to planned communities, and theme parks to hunting preserves.

Roles and responsibilities include, but are not limited to:

• Design, develop, and validate statistical, machine learning, and AI models using rigorous experimentation and evaluation methods to ensure accuracy and business applicability.
• Build and deploy predictive and prescriptive models, incorporating business constraints, and continuously monitoring model performance to ensure reliability and ongoing value.
• Perform data acquisition, integration, and cleansing, and develop scalable workflows and scripts to support the deployment and operationalization of analytical solutions.
• Identify patterns, trends, and hidden relationships within complex datasets to uncover insights and recommend strategic opportunities to business leaders.
• Serve as a subject matter expert to leadership by conducting both proactive and ad hoc analyses, translating data into actionable recommendations that influence decision-making.
• Communicate analytical findings through clear storytelling, visualizations, and decision-ready reporting tailored to both technical and non-technical audiences.
• Collaborate cross-functionally to develop and implement machine learning and AI solutions from ideation through deployment, ensuring alignment with business objectives.
• Develop and deliver standardized and ad hoc reporting that translates data into actionable insights while supporting ongoing business monitoring and decision-making.
• Stay current on emerging AI/ML trends, tools, and methodologies

• Bachelor’s degree or equivalent in Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related quantitative field required.
• Advanced degree (Master’s or MBA) in a relevant discipline preferred.
• 6+ years of experience in data analytics, data science, or related field.
• Proficiency in data science and analytics programming languages such as Python and/or R, with strong SQL skills for querying, transforming, and analyzing structured enterprise data to support advanced analytics, modeling, and AI use cases is required.
• Experience with data visualization and business intelligence tools such as Power BI (or comparable platforms) to develop dashboards, reports, and visual narratives that communicate analytical results and decision-ready insights to technical and non-technical stakeholders are required.
• Preferred experience working with SAP data, including transactional, master, or analytical datasets, to support enterprise reporting, analytics, and predictive modeling use cases.
• Preferred experience working with Salesforce data, such as CRM objects or operational datasets, to enable analytics, insights, and data-driven decision support across business functions.
• Strong analytical and problem-solving skills, with the ability to evaluate ambiguous problems, assess feasibility, and recommend data-driven approaches aligned to business objectives.
• Demonstrated ability to collaborate cross-functionally with business, engineering, and IT partners to deliver analytics and AI solutions in enterprise environments.
• Effective written and verbal communication skills, including the ability to explain technical concepts and analytical findings to non-technical audiences.
• Ability to manage multiple priorities and deliver work independently, while maintaining attention to detail and meeting agreed timelines.

• Demonstrated experience applying statistical analysis, machine learning, or AI techniques to solve business problems.

• Bachelor’s degree or equivalent in Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related quantitative field required.
• Advanced degree (Master’s or MBA) in a relevant discipline preferred.
• 6+ years of experience in data analytics, data science, or related field.
• Proficiency in data science and analytics programming languages such as Python and/or R, with strong SQL skills for querying, transforming, and analyzing structured enterprise data to support advanced analytics, modeling, and AI use cases is required.
• Experience with data visualization and business intelligence tools such as Power BI (or comparable platforms) to develop dashboards, reports, and visual narratives that communicate analytical results and decision-ready insights to technical and non-technical stakeholders are required.
• Preferred experience working with SAP data, including transactional, master, or analytical datasets, to support enterprise reporting, analytics, and predictive modeling use cases.
• Preferred experience working with Salesforce data, such as CRM objects or operational datasets, to enable analytics, insights, and data-driven decision support across business functions.
• Strong analytical and problem-solving skills, with the ability to evaluate ambiguous problems, assess feasibility, and recommend data-driven approaches aligned to business objectives.
• Demonstrated ability to collaborate cross-functionally with business, engineering, and IT partners to deliver analytics and AI solutions in enterprise environments.
• Effective written and verbal communication skills, including the ability to explain technical concepts and analytical findings to non-technical audiences.
• Ability to manage multiple priorities and deliver work independently, while maintaining attention to detail and meeting agreed timelines.
• Demonstrated experience applying statistical analysis, machine learning, or AI techniques to solve business problems.

Textron Specialized Vehicles Inc. is a leading global manufacturer of golf cars, utility and personal transportation vehicles, professional turf-care equipment, and ground support equipment. Textron Specialized Vehicles markets products under several different brands. Its vehicles are found in environments ranging from golf courses to factories, airports to planned communities, and theme parks to hunting preserves.