Frequently Asked Questions for Data Scientist
The Data Science (Intermediate) test helps assess individuals with a few years of hands-on experience working with data. It can help narrow down data scientists who have the capacity to create machine-learning-based tools with extensive knowledge of operations such as data extraction and mining, data cleaning, using data classification & regression algorithms, performing data wrangling, conducting advanced analytics, and leveraging deep-level machine learning techniques to deliver valuable business-focused insights.
The Data Science Test for hiring data scientists is of intermediate difficulty and assesses advanced concepts like Machine Learning Techniques, Data Visualization, and Statistical Modelling.
- Data Scientists
- Data Analysts
- Data engineers
- Data Science Professionals
- Data Science Architect
- Senior Software engineers
- Machine Learning Techniques
- Data Visualization
- Statistical Modeling
- Deep Dive into Machine Learning Models
- Collecting and cleaning data from a variety of sources, including databases, sensors, and social media platforms.
- Using statistical techniques and tools to analyze and interpret data.
- Communicating findings and recommendations to stakeholders using visualizations, reports, and other forms of presentation.
- Collaborating with cross-functional teams to understand data needs and identify opportunities for data-driven decision-making.