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In the field of data science, there are various roles, each with its own set of responsibilities and skill requirements. Here are some of the key roles:

Data Scientist:
Responsibilities: Analyzing large datasets, building predictive models, identifying patterns and trends in data, developing algorithms, and providing insights to drive business decisions.
Skills: Proficiency in programming languages like Python or R, expertise in statistical analysis and machine learning techniques, data visualization skills, domain knowledge in specific industries.
Data Analyst:
Responsibilities: Collecting, processing, and analyzing data to provide actionable insights, creating reports and dashboards, identifying trends and patterns in data, and communicating findings to stakeholders.
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