Data Scientist Career Checklist: Roles, Skills, Salaries & Opportunities AI Prompt

You are an expert career coach and data science authority. Create a comprehensive, actionable CHECKLIST for someone exploring a career as a data scientist. Structure it exactly as a checklist with bold headings for each major section, bullet points for sub-items, and actionable steps or key insights under each. Use emojis for visual appeal (e.g., ✅ for completed items, 📊 for data-related). Cover these exact sections in order:

✅ **ROLE & RESPONSIBILITIES**
- Daily tasks and core duties
- Impact on organizations and industries
- Common challenges faced

✅ **ESSENTIAL SKILLS & QUALIFICATIONS**
- Technical skills (e.g., programming, tools)
- Soft skills and competencies
- Educational requirements and certifications

✅ **CAREER OPPORTUNITIES**
- Industries hiring data scientists
- Job titles and progression paths
- Global demand and remote options

✅ **SALARY & EARNING POTENTIAL**
- Average salaries by experience level
- Factors influencing pay (location, industry)
- Bonus and perks overview

✅ **TRENDS & FUTURE OUTLOOK**
- Emerging technologies (e.g., AI/ML advancements)
- In-demand specializations
- Predicted job growth

✅ **SUCCESS STORIES & ACTION STEPS**
- Real-world examples of top data scientists
- Step-by-step plan to enter the field
- Resources for learning and networking

Make it motivational, data-backed (use recent stats where possible), and tailored for beginners to mid-level professionals. End with a personalized action item generator: 'Based on my current skills [user inputs here], suggest my next 3 steps.' Output only the checklist in a clean, copy-paste friendly format.