Prompt Engineer & Data Scientist
Zipaworld
About the Role
Zipaworld is seeking a Prompt Engineer & Data Scientist to leverage AI for solving real business problems. This role involves designing effective prompts, building automated workflows, creating AI-powered tools and web pages, and transforming data into actionable insights.
Key Responsibilities
Prompt Engineering
- Design, test, and optimize prompts for LLMs such as ChatGPT, and Gemini.
- Build reusable prompt frameworks and AI workflows for business use cases.
- Use AI tools to build web pages, dashboards, and internal tools.
Automation
- Identify manual, repetitive processes and automate them.
- Build and manage workflows using tools such as n8n or Python.
- Develop AI agents and integrations that connect different tools and systems.
- Monitor, maintain, and improve automations for reliability.
Data Science
- Collect, clean, and analyze business and operational data.
- Build dashboards, reports, and visualizations for management.
- Identify trends and patterns, and provide data-driven recommendations.
- Apply statistical and machine learning techniques where relevant.
Requirements & Tech Stack
- Strong prompt engineering experience across multiple LLMs.
- Hands-on experience with automation tools (n8n, or similar).
- Proficiency in data analysis using Python, SQL, or Excel.
- Experience with visualization tools such as Power BI, or Tableau.
- Experience building web pages or tools using AI platforms.
- Strong analytical and problem-solving skills.
- Good communication skills.
Preferred Skills
- Experience with advanced prompting techniques such as chain-of-thought, few-shot prompting, and structured outputs.
- Knowledge of machine learning techniques such as regression, classification, and forecasting.
- Experience with statistical analysis and data modeling.
- Familiarity with Python libraries such as Pandas, NumPy, and scikit-learn.
- Exposure to the logistics or supply chain industry.
What We Offer
- Hands-on work with the latest AI tools and technologies.
- Real projects with direct business impact.
- A collaborative environment with direct exposure to leadership.
- Competitive salary based on experience.