A typical day of an Intermediate Data Science at August Infotech
As an Intermediate, your typical day would need:
The day usually starts with checking emails, messages, and any urgent notifications. The data scientist might plan their day, review the progress of ongoing projects, and prioritize tasks for the day.
To collaborate with cross-functional teams, including other data scientists, analysts, engineers, product managers, and stakeholders. They might participate in meetings to discuss project progress, data requirements, and future strategies.
To write and review code regularly. They might be involved in coding tasks related to data preprocessing, model development, or creating scripts for automating repetitive tasks.
To evaluate the performance of their machine learning models. They conduct validation tests and fine-tune the models to improve their accuracy and generalization capabilities.
Technical Responsibilities
Data Analysis and Preprocessing
Machine Learning Model Development
Statistical Modeling
Data Visualization
Collaboration and Communication
Data Integration and Engineering
Model Deployment and Monitoring
Continuous Learning
Management Responsibilities
Manage team
Decide team for the project
Manage Workload
Technical coaching and mentoring
Raising Hiring and recruitment needs
Mentor junior members of the team and participate in code reviews to help them grow inside the team.
