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.

Responsibilities

• Translates defined business needs into structured analytical approaches, hypotheses, and execution plans.
• Acquires, prepares, and integrates data from multiple sources to support modeling, reporting, and analysis.
• Builds, tests, and refines statistical and machine learning models using established methodologies and best practices.
• Evaluates data quality, identifies gaps or inconsistencies, and applies appropriate techniques to improve data usability.
• Partners with engineering, IT, and business stakeholders to deploy analytics solutions into operational workflows within defined scope.
• Develops dashboards, visualizations, and reporting that deliver clear, actionable insights to stakeholders.
• Monitors model and solution performance, investigates variances, and implements improvements to maintain accuracy and reliability.
• Documents data sources, methodologies, assumptions, and outputs to ensure reproducibility and compliance with governance standards.
• Contributes reusable code, tools, and analytics components that improve team efficiency and consistency.
• Applies enterprise data governance, security, and documentation standards throughout the analytics lifecycle.
   

Education: Bachelor's degree in Data Science & Analytics, Engineering, Mathematics, Industrial Engineering, Computer Science, Economics/Finance, Statistics, Applied Statistics, or Operations Research required. 

Years of Experience: 3 + years of professional experience required. Experience developing analytics, predictive models, dashboards, or reporting solutions in a business environment preferred.

Software Knowledge: 

• Proficiency in Python and/or R, with solid SQL skills for querying, transforming, and analyzing data required.
• Experience with data visualization and reporting tools such as Power BI or similar platforms required.

• Experience working with structured enterprise data sources preferred.

• Familiarity with machine learning model development, validation, and performance monitoring required.

   

Additional Requirements:

• Strong analytical and problem-solving skills with the ability to work through moderately complex business and data challenges.

• Ability to independently manage assigned work and deliver high-quality outputs within defined scope.

• Effective written and verbal communication skills, including the ability to explain findings clearly.

• Strong collaboration skills and ability to work across technical and business teams.

• Attention to detail and commitment to documentation, governance, and continuous improvement.