Your Comprehensive Guide to Remote Jobs in Data Science

Even before the pandemic, notable companies already employed remote data scientists. Institutions across industries are welcoming employees back into the workplace. However, data scientists still have a distinct advantage when negotiating flexible working arrangements as long as they have the necessary skills and qualifications.

The general perception of remote work in data science is positive, and it is mainly unaffected by emerging return-to-work plans. However, capitalizing on expanding distributed work opportunities and high salaries in data science takes more than being proficient in Python and MATLAB.

Read on to learn everything you need to know to gain an edge in the world of remote work in data science. 

Remote Data Science Specializations

There are more jobs in data science compared to other fields, and there are almost no technical barriers preventing people from working in distributed teams. Data scientists no longer need to be in the same building as data sources, whether they are primarily concerned with organizing information, analyzing data, or more. Data scientists can work in a different location in any of the following areas of specialization:

• Advanced analytics

• Artificial intelligence

• Data mining and modeling

• Data quality and governance

• Data security

• Data visualization

• Research 

Remote Data Science Job Titles 

Applications Architect 

Applications architects create data collection, storage, and analysis systems that power data science. Some companies can require their data scientists and engineers to handle applications architecture besides their typical responsibilities.

Big Data Engineer

Big data engineers manage big data infrastructure and tools for businesses. Some companies use this job title to refer to data scientists, but this role involves more tasks. It typically entails working with data processing systems rather than developing and testing hypotheses with processed data. 

Business or Data Analyst 

Employers generally do not expect business or data analysts to have the same coding, mathematical modeling, or machine learning skills as data scientists or even possess advanced degrees. 

Clinical Data Manager 

Clinical data science is any data science in clinical research settings. Clinical data managers have technical skills, domain expertise, and a solid understanding of working closely with data without jeopardizing medical study or clinical trial results. 

Data Scientist 

Data scientists are typically in charge of gathering, organizing, and analyzing large amounts of data to uncover actionable insights and drive strategic decision-making. It is a highly technical, specialized position, and most data scientists have master's degrees in data or computer science. 

Conclusion

A position in data science is an excellent opportunity to work with more flexibility and enhance skills in your chosen specialization. As long as you thoroughly research and understand what a specific role will demand of you, there is nothing for you to worry about.

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