There are different career options in data science that a data scientists may go for in future. Various opportunities can also be found for data scientists as there is less competition in this field as compared to other fields.
If a person has a good knowledge of data science, they have various opportunities ahead in their career.
Some of the career options in data science are listed below
Data scientist
A data scientist usually interprets and analyse large amounts of data and make inferences from it. They also help a business in its decision-making.
A data scientist may also work in a team in businesses to mine extra data and predict customer choices and other revenue opportunities.
They may have to organize two types of data, usually structured and unstructured data. Therefore they need to have strong mathematical and statistical skills to excel in their job.
Also Read: How To Become a Data Scientist in India?
Data analyst
The main job of data analysts is usually to produce reports, spotting patterns and collaborating with others. Furthermore, they are also involved in collecting data and setting up an infrastructure.
They use business intelligence and analytical tool in their tasks. Moderate maths and statistical skills are required for this role.
Data Engineer
Their main task is working with database and large scale data processing systems. They have to prepare big data infrastructure.
They also have to work with large data giving particular emphasis on security and other such options
Business analyst
A business analyst has the task of identifying opportunities for business operations and processes. Their main role is to meet user’s demand.
Other functions include acting as a link between business and technical solution providers. They also need to ensure that the new technology is designed and implemented properly according to the demand of the customers.
Project manager
A project manager has a responsibility to plan and execute certain projects. Their main responsibility includes how to initiate, design and monitor a project.
A project manager also has to organise the project in a structured way.
Also Read: 9 Important Steps for Smart Project Management
Data architect
A data architect’s main role to work in a data architect system by creating a blueprint on it. They also work on that blueprint to get the desired results.
Other roles involve how to implement measures for data accuracy. They regularly need to monitor and report on the data management systems. Data models are also designed for database structures.
Business intelligence developer
They have a job of creating, deploying and presenting business intelligence interfaces. A Business intelligence developer also needs to do various research implementing various approaches.
They also involved in putting together the data. Furthermore, they also make presentations on it in a simpler way for the users to understand.
Statistician
Statisticians have the job to decide which data they must collect and how to collect it and design experiments based on it.
While implementing these designs, they also take the help of statistical tools. They are professionals who apply Statistical methods to solve real-world problems.
Machine learning scientist
Machine learning scientists are mainly engaged in building pipelines and machine learning infrastructure.
They act as a collaboration between the stakeholders. Lastly, they also got a role to build datasets, compare various machine learning Algorithm and produce outputs based on that.
Database administrator
A database administrator has a job to create users profiles. They are engaged in performing various planning related to database and finding solutions for any issue.
Their other functions are to secure the data.
Lastly, they also monitor and manages the recovery plan for data for future use.