Data Scientist
Indexed description
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.
Recruiting Company: Textron Specialized Vehicles
Primary Location: Romania-Pitesti
Job Function: Information Technology
Schedule: Full-time
Job Level: Individual Contributor
Job Type: Experienced
Shift: First Shift
Job Posting: 09/02/2026, 5:56:03 AM
Job Number: 344821
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