Role of Fresher Data Scientist

The role of a fresher data scientist can be quite dynamic and can vary based on the industry and organization they work for. However, here are some of the key responsibilities a fresher data scientist is typically expected to fulfill:

  1. Data collection and cleaning: Collecting and cleaning large datasets to prepare them for analysis.
  2. Data exploration: Exploring the data to understand its patterns, distributions, and relationships between variables.
  3. Feature engineering: Creating new features from existing data to improve model performance.
  4. Model building: Building predictive models using machine learning algorithms to solve specific business problems.
  5. Model evaluation: Evaluating the performance of different models and selecting the best one based on a set of metrics.
  6. Data visualization: Creating visualizations to help communicate insights and findings to stakeholders.
  7. Collaboration: Working with cross-functional teams, such as product, engineering, and business, to understand and solve business problems.
  8. Staying up-to-date: Keeping up-to-date with the latest developments in the field of data science, including new algorithms, techniques, and tools.

In conclusion, a fresher data scientist is expected to contribute to the data-driven decision-making process of an organization and to help the organization make informed decisions based on data.

Amar Ajnalkar