1. Data Analyst: Interpret and visualize data to create insights and reports for decision-making and strategy.

2. Business Analyst: Bridge business needs with technology, analyzing processes to improve efficiency and effectiveness.

3. Data Scientist Manager: Oversee data science teams and projects, ensuring alignment with organizational goals

4. Data Science Consultant: Advise businesses on data strategies and solutions, guiding them to leverage data effectively.

5. Machine Learning Engineer: Focus on deploying and optimizing ML models, ensuring efficiency in production environments.

6. Data Product Manager: Manage data-driven products from ideation to release, prioritizing features based on insights.

7. Data Privacy Officer: Establish and monitor data privacy rules to comply with legislation and safeguard sensitive data. 

8. Data Visualization Designer: Create engaging and clear visuals to represent complex data, making insights accessible.

9. Data Ethicist: Address ethical issues in data usage, ensuring that practices align with moral and ethical standards.

10. Data Science Educator: Teach data science concepts and skills, preparing future professionals through courses and mentoring.