MBA Center Global 
Getting a Masters in Data Science will make you Data Scientist, you will be analyzing and collecting lots of data. That data can be structured or unstructured. If you have a passion for doing research then this is just for you because as a Data scientist, you will be mainly merging the knowledge of statistics, computer science and mathematics to get your work done. You will be required to manage data.
In other words, you will be working on some mixed facts and figures to give them a proper structure. You must be wondering why do people collect data and why is the research carried out? The answer is, for bringing a change into our lives. It was through research and data analysis that we have advanced so much over the years. Becoming a Data Scientist will help you in learning lots of new facts and your way of seeing things will be much wider.
Moreover, you will be learning a couple of skills that will help you carry out your work.
- Cloud tools.
- Machine Learning Engineering.
- Risk Analysis.
- Big Data Platforms.
- Data warehousing and its structures.
- Data Mining, Cleaning, and Munging.
- Data Visualization Reporting.
- Statistical analysis and math.
- Software Engineering skills.
- Effective Communication.
These skills mentioned above are one of the most important factors required in research and analysis. Moreover, with passing time we have evolved and so has technology. Machine learning, data mining, risk analysis, etc. Are required in each industry, which is why research has been in demand.
If you have finally decided to pursue your career as a Research Scientist than there are a number of jobs that you can look forward to. We will arrange the order from lowest to highest.
- Data Analyst:
Salary: $59.7K yearly.
Work for: Finance companies, telecommunication, utilities, manufacturing, construction, and other larger companies.
Responsibilities:
- To analyze the collected data, according to the client’s requirement.
- To evaluate the collected sources and methods used to gather data for testing.
- To interpret data in the form of reports and charts.
- Business Intelligence Analyst/ BI Analyst:
Salary: $67.6K yearly.
Work for: Reporting, consulting, financial and tech companies.
Responsibilities:
- To aid organizations to develop collaboration among different departments.
- To give presentations on company trends, future directions, and organizational data.
- To organize different training sessions and seminars to help managers grasp business intelligence.
- Statistician:
Salary: $72.1K yearly.
Work for: Local authorities, national public sectors, market research, research institutes. Consulting, and reporting companies.
Responsibilities:
- To interpret and organize the collected data. And cater to solutions, insights and emerging patterns.
- To review the accuracy and quality of the data provided.
- Test and design data collection strategies and methods.
- Database Administrator:
Salary: $72.8K yearly.
Work for: Law firms, social media companies, research institutes, medical companies, and financial companies.
Responsibilities:
- To install monitor and form database systems.
- To maintain and monitor the productivity of the company’s servers.
- To collaborate with cybersecurity specialists to ensure that the data is safe.
- Machine Learning Engineer:
Salary: $111.6K yearly.
Work for: International organizations like Microsoft, Amazon, Apple, Autodesk, Accenture.
Responsibilities:
- To create, design and test software like self-learning and self-running.
- To work and help data science teams to produce more efficiently.
- To ensure that the codes provided are easy to maintain, debug and scale.
- Big Data Engineer:
Salary: $114.8K yearly.
Work for: Retail, tech, trade and entertainment industries.
Responsibilities:
- To define policies for data storage.
- To evaluate and monitor performance and propose modifications to the infrastructure.
- To test and manage, created big Data tools and infrastructure.
- Data Architect:
Salary: $115.8K yearly.
Work for: Private and public organizations such as health care and educational
organizations.
Responsibility:
- To maintain the designed databases and structure provided data.
- To ensure the accuracy and validity of data collected.
- To create a strategy (data) for the collaboration of different departments of an organization.
These mentioned job types should help you in having an idea, where do you want to go. Many people will opt for higher-paying options but remember these are just the average pay scale, your experience and proficiency also matters.
Conclusion:
We have discussed Data Scientist and what you can do with a Masters in Data Science and Big Data. We hope it provided the information you were looking for.
