- Machine learning: Implement algorithms and statistical models to enable a computer to automatically learn from data.
- Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
- Computer science: Apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering.
- Data storytelling: Communicate actionable insights using data, often for a non-technical audience.
- Programming: Write computer programs and analyze large datasets to uncover answers to complex problems. Data scientists need to be comfortable writing code working in a variety of languages such as Java, R, Python, and SQL.
Roles & Responsibilities of a Data Scientist
- Analytics: The Data Scientist represents a scientific role where he plans, implements, and assesses high-level statistical models and strategies for application in the business’s most complex issues. The Data Scientist develops econometric and statistical models for various problems including projections, classification, clustering, pattern analysis, sampling, simulations, and so forth.
- Management: The Data Scientist plays an insignificant managerial role where he supports the construction of the base of futuristic and technical abilities within the Data and Analytics field in order to assist various planned and continuing data analytics projects.
- Strategy/Design: The Data Scientist performs a vital role in the advancement of innovative strategies to understand the business’s consumer trends and management as well as ways to solve difficult business problems, for instance, the optimization of product fulfillment and entire profit.
- Knowledge: The Data Scientist also takes leadership to explore different technologies and tools with the vision of creating innovative data-driven insights for the business at the most agile pace feasible. In this situation, the Data Scientist also uses initiative in assessing and utilizing new and enhanced data science methods for the business, which he delivers to senior management of approval.
- Collaboration: The role of the Data Scientist is not a solitary role and in this position, he collaborates with superior data scientists to communicate obstacles and findings to relevant stakeholders in an effort to enhance drive business performance and decision-making.
- Other Duties: A Data Scientist also performs related tasks and tasks as assigned by the Senior Data Scientist, Head of Data Science, Chief Data Officer, or the Employer.