Data Scientist

As a Data Scientist, you will need to be highly analytical and have a keen eye for data analysis. You should be comfortable with mathematics, computer science and statistics, as well as being able to drive business results with data-based insights. You will be working with a number of departments and functional teams, so it is important that you have a keen interest in discovering hidden and analytical solutions to complex problems. This role will allow you to improve business performance and outcomes. If you are looking for a challenge and an opportunity to make a real difference, then this is the role for you.

• Designing and conducting experiments
• Collecting and analyzing data
• Developing and testing hypotheses
• Creating and implementing algorithms
• Building predictive models
• Identifying trends and patterns
• communicating results to stakeholders
• collaborating with team members
• continuing to learn new methods and techniques
• staying up-to-date on industry trends
• Develop A/B testing framework to test data quality

The salary for a Data Scientist can vary depending on the company, location and nature of their employer’s business. A person who works in this profession could earn between 8-10k USD per month.

To be considered for the position of Data Scientist, one must have experience in data science and programming. The basic qualifications required to apply include:

• Either a Bachelor’s degree in Mathematics, Data Science, Statistics, and Economics, or related field or experience in the industry or both
• Master degree in a similar discipline preferred
• Prior demonstrated experience of at least 3 to 5 years as a Data Analyst or Business Data Analyst or Data Scientist
• Experience in data mining

To be a successful Data Scientist, you need not only possess the necessary skills but also traits like communication and problem solving abilities:

• Have a strong understanding of statistics and machine learning.
• Able to effectively communicate their findings to non-technical audiences.
• Have experience working with large data sets.
• Proficient in at least one programming language, such as Python or R.
• Have a strong understanding of databases and data warehousing principles.
• Able to effectively use data visualization tools, such as Tableau or D3.js.
• Have experience with big data platforms, such as Hadoop or Spark.
• Familiarity with cloud computing platforms, such as Amazon Web Services or Microsoft Azure.
• Have a strong understanding of security and privacy issues related to data analysis.
• Able to stay up-to-date on the latest trends and developments in the field of data science

As a data scientist, you will be responsible for excellent communication and problem solving skills. In this role:

• Responsible for collecting, cleaning, and analyzing data.
• Use statistical software to analyze data.
• Use data visualization software to create graphs and charts.
• Report findings to a manager or senior analyst.
• Responsible for creating reports and presentations.