The typical job description for a data scientist varies by company and industry, but generally includes the following responsibilities:

1. Collecting and analyzing large, complex data sets to identify patterns, trends, and insights.
2. Developing and implementing predictive models and machine learning algorithms to forecast business trends and outcomes.
3. Designing and conducting experiments to test hypotheses and improve data quality.
4. Developing and maintaining data pipelines, data infrastructure, and data visualization tools to support data analysis and reporting.
5. Communicating findings and insights to stakeholders through data visualizations, reports, and presentations.
6. Collaborating with cross-functional teams to identify opportunities to leverage data to drive business decisions and optimize processes.
7. Staying up-to-date with the latest data science techniques and tools, and continually improving skills and knowledge.

To be successful as a data scientist, candidates typically need a strong foundation in statistics, mathematics, and computer science, as well as experience in data analysis, programming, and machine learning. A degree in a relevant field such as computer science, statistics, mathematics, or engineering is also typically required.