The role of a Data Scientist typically involves collecting and cleaning data from various sources, using statistical techniques to analyze the data, and creating predictive models that can be used to forecast future trends and behaviors. Data scientists may also be responsible for developing and implementing algorithms and machine learning models to help automate decision-making processes. 

The job details of a data scientist involve the following responsibilities:

• 1. Collecting data from various sources and cleaning and processing it to ensure its quality and suitability for analysis.

• 2. Use tools like Python, R, and SQL to explore and visualize data, identifying patterns and trends that can be used to inform business decisions.

• 3. Build and evaluate predictive models using machine learning algorithms, statistical models, and other techniques to identify patterns and trends in data and make predictions about future outcomes.

• 4. Communicate insights and findings to stakeholders in the organization, including senior management, product managers, and other data analysts.

• 5. Work closely with other teams, such as product development, marketing, and customer service, to help them make data-driven decisions.

• 6. Stay up-to-date with the latest technologies and techniques in the field, continually learning and adapting to new tools and approaches as needed.

• 7. Ensure that their work complies with local, state, and federal regulations related to data privacy and security.

Qualifications:

• 1. Degree in any mathematical field and any other engineering discipline
  
  
• 2. Knowledge of Python or R
  
  
• 3. Masters degree will be an added advantage
  
  
• 4. Experience will also be an added advantage