Data Scientist
Summary
Data Scientist at Textron Specialized Vehicles in Pitesti, Romania, who designs, builds, validates, and deploys statistical, machine learning, and AI models, develops scalable data workflows, and turns complex datasets into reporting and insights that guide business decisions.
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,