At the heart of every business lies one simple goal to win. However, in today’s world, competition is all around us. The only way businesses can stand out is by getting better data-driven insights than their competitors are able to. And therein comes an integral role played by today’s most powerful tool i.e. Data Science. There are various positions or niches offered under Data Science which are equally rewarding for an individual who holds a master’s degree in Mathematics or Statistics or IT domain with sound knowledge in Python, R Programming languages along with strong programming skills(C, C++, and Java).

6 best jobs within Data Science

But here we have a list of the 6 best jobs within Data Science that are highly rewarding and in demand.

1. Data Scientist

The most popular job under this domain is Data Scientist where they can find themselves being hired by companies with heavy cash flow to beef up the success rate of their business. It’s also known as “Sexiest Job of 21st Century”. They need to perform various tasks like using machine learning algorithms build statistical models to turn raw data into actionable insights for decision-makers, using SQL & Excel to produce visualizations, etc to derive meaning out of information, and finally, build automated systems that take care of the same work on a continuous basis. The role usually includes writing production-level code related to the projects they are working on, so a solid understanding of data structures and algorithm design is needed. The average salary for this job falls between $112,006 to $129,300 per year.

2. Data Engineer

The roles vary from being responsible for collecting new data sets that come up during the course of business via instrumentation, parsing logs or triggering emails etc which help them in solving complex problems with data. They are responsible for making sense out of analysis results by using visualizations across different sources of datasets & transforming them into simple reports that can be understood by non-technical people like managers or executives within your company. It requires one to possess good knowledge in programming languages like Python (for Data Engineering) along with knowledge in cloud computing tools. The average salary for this job falls between $100,000 to $125,000 per year.

3. Business Intelligence Analyst

The role is in high demand by business data-driven organizations who need them to make business decisions based on information which they collect from various internal sources like eCommerce websites or Enterprise Resource Planning Systems etc and also external ones like social media platforms which are used to gather customer reviews, feedbacks etc. Being well-versed in using visualization tools for presenting complex datasets meaningfully is crucial for this position that helps the company reach appropriate conclusions about their business performance. The average salary for this job falls between $80,000 to $110,000 per year.

4. Data Visualization Designer

There are people responsible for building charts, graphs and various other data visualizations for reports generated by data scientists. The role includes translating large sets of complex analysis data into simple visuals & diagrams that are easy to comprehend making them an important member of the team who ensures that all records are presented visually with easy-to-understand dashboards using Tableau or Elkview etc. One needs to have proper knowledge of MS Excel to create different kinds of bar graphs, pie charts, histograms, etc as the first step involves identifying what specific insights need to be derived from raw data. A bachelor’s degree in design is usually preferred but not mandatory if one has good knowledge of visualization tools. The average salary for this job falls between85, 000 to $110,000 per year.

5. Data Architect

They are responsible for designing and building databases that hold all of the company’s data & is vital for the entire team to use it meaningfully to derive maximum benefits out of it. They need to set up proper security mechanisms like user permissions which depend on their specific role in the organization, monitor databases and ensure that they run efficiently, etc which can be highly stressful at times but comes with good pay nevertheless. The average salary for this job falls between $100,000 to $125,000 per year.

6. Business Analyst (B2B) / Business Analyst (B2C)

The companies look for people who can help them generate insights based on customer transactions or feedbacks by mining their transactional data or emails sent by customers, etc. Being able to understand market trends & customer needs helps them improve the company’s product lines by identifying certain key selling points etc. A bachelor’s degree in statistics or mathematics is usually preferred if one wants to become a Business Analyst (B2C) but the main criterion for becoming one is good knowledge of SQL databases. The average salary for this job falls between $72,000 to $93,000 per year.

Conclusion:

As the competition in the job market gets tougher with each passing day, it becomes critical for professionals to possess highly sought-after skills that can help them stay ahead of their competitors. Since Big Data & related skill sets are in huge demand these days, one need to focus on learning them by taking up courses at reputed institutes like Simply learn.