DESCRIPTION

Textron Specialized Vehicles Inc. is a leading global manufacturer of golf cars, utility and personal transportation vehicles,
snowmobiles, side-by-sides, all-terrain 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:

• Build best-in-class predictive and prescriptive models considering business constraints.
• Perform data integration, data set cleansing, and data analysis, and deploy analytical models through thedevelopment of scripts and custom workflows.
• Monitor the performance and accuracy of existing models.
• Advise IT Data Engineers to build, automate, and/or maintain a set of enterprise-wide data services (data lake) andconnectors for internal and external data sources that can be rapidly deployed to business analysts.
• Create proactive and reactive custom reports based on client needs.
• Troubleshoot issues, prepare summaries, document processes and workflows, propose solutions, and collaborate andcommunicate with internal team members.
• Build and maintain trusted relationships with information managers, architects, and business units for knowledgesharing, mentoring, and training.
• Generate and effectively communicate analytical insights through visualization and reporting tools such as SAS, JMP,MS PowerBI, HANA, Qlik, and R Markdown.
• Research, evaluate and implement emerging trends in AI/ML space and published state-of-the-art ML methods,technologies, and frameworks.

QUALIFICATIONS

Qualifications:

• Education: Bachelor’s degree in Data Science & Analytics, Engineering, Mathematics, Industrial Engineering,Computer Science, Information Technology, Economics/Finance, Statistics, Applied Statistics, or Operations Researchrequired; Professional certification in Data Science & Analytics preferred
• Years of Experience: P2: 3 or more years of experience required; P3: 5 or more years of experience required,experience in stochastic process modeling, design of experiments, non-linear regression, simulation, and optimizationmethods; experience developing AI and Machine Learning solutions, from concept to production, and selecting theright algorithm/approach for the job at hand
• Software Knowledge: Proficiency in data science object-oriented programming languages (python, R, ruby), andproficiency in database languages (MSSQL, Oracle, PostgreSQL, MySQL, neo4j, HANA, Hadoop
• Familiar with Natural Language algorithms for processing/generation (NLP/NLG) and with available open sourceAI/ML platforms, especially in deep learning/neural network space.

• Build best-in-class predictive and prescriptive models considering business constraints.
• Perform data integration, data set cleansing, and data analysis, and deploy analytical models through thedevelopment of scripts and custom workflows.
• Monitor the performance and accuracy of existing models.
• Advise IT Data Engineers to build, automate, and/or maintain a set of enterprise-wide data services (data lake) andconnectors for internal and external data sources that can be rapidly deployed to business analysts.
• Create proactive and reactive custom reports based on client needs.
• Troubleshoot issues, prepare summaries, document processes and workflows, propose solutions, and collaborate andcommunicate with internal team members.
• Build and maintain trusted relationships with information managers, architects, and business units for knowledgesharing, mentoring, and training.
• Generate and effectively communicate analytical insights through visualization and reporting tools such as SAS, JMP,MS PowerBI, HANA, Qlik, and R Markdown.
• Research, evaluate and implement emerging trends in AI/ML space and published state-of-the-art ML methods,technologies, and frameworks