Fascinating Data Science Careers

The field of data science is expansive, with many potential avenues for study and work. Understandably, you might feel perplexed about the differences between the available positions, and unsure which professional path would be best for me.
Data Science

Data scientists look at raw data and put it together in a way that is easy to understand. Data science is a relatively new field requiring professionals to combine computer science, statistics, and business logic knowledge to analyse and draw meaningful conclusions from data. They could work for social media companies, analysing user data to determine user preferences and recommending content that users will enjoy. In addition, political organisations may use them to predict voter behaviour. Data scientists typically apply the results of their analyses to real-world problems in sectors such as business and government.

Data scientists are responsible for collecting data from various sources and analysing it to gain insight into an organisation’s operations. The scientist employs analytical and statistical procedures and AI software to automate selected business operations and create novel approaches to pressing problems. Once the data is interpreted, the findings are presented in an engaging and understandable format. The end goal is to improve decision-making by analysing trends within the organisation. That’s why a data scientist must be competent in all three areas of expertise: technology, analysis, and communication.

Data Science Career Prospects

The field of data science is expansive, with many potential avenues for study and work. Understandably, you might feel perplexed about the differences between the available positions, and unsure which professional path would be best for me.

Data science can lead to many jobs, and learning about some can help you decide which is best for you. It can be helpful to know that some of these jobs may have different duties, requirements for getting hired, and average salaries.

Below are some of the most common jobs in the field of data science:

Data Scientist

Data scientists are technically responsible for overseeing and implementing machine learning algorithms into data-collecting AI systems; they are data analysts. They identify business problems that can be solved by data analytics, identify data variables, and identify relevant data sets. A data scientist performs duties similar to those of a data analyst, including data collection, cleaning, and analysis. Typically, data scientists convey their findings to executives and senior managers through data visualisations and analytical reports.

Data Analyst

A data analyst excels in collecting, cleansing, and interpreting data for various business purposes. They frequently obtain employment in various medical, legal, retail, and finance industries. They have responsibilities similar to those of a data scientist, except that they typically possess fewer technical skills in programming languages and machine learning.

Data Manager

Data Managers are responsible for developing and managing data-centric systems per Data Architects’ specifications. Their primary objective is to organise and store data with a focus on security and privacy. Data Managers exert great effort to ensure that information flows quickly and securely within and to and from the organisation.

Data Engineer

A Data Engineer is responsible for developing, maintaining, and managing data pipelines that always enable data scientists to access data. In addition, they are responsible for developing innovative solutions to support the increased data complexity and variability. These individuals collaborate with front- and back-end developers, product managers, and analysts.

Machine Learning Engineer

A machine learning engineer specialises in developing and evaluating machine learning algorithms that enable artificial intelligence to perform logical and mathematical tasks. After developing machine learning systems, they frequently test them to ensure their accuracy and efficacy. An engineer in machine learning may experiment with various AIs and algorithms to identify algorithms that assist businesses in solving particular problems.

Business Intelligence (BI) Developer

Business Intelligence (BI) developers design and create strategies to aid business users in locating the data they need to make better business decisions. Extremely data-savvy, they utilise BI tools or develop custom BI analytic applications to aid end-user comprehension of their systems.

What Qualifications Are Required In Data Science Field?

Depending on the level of the position for which you are applying, you must meet the following requirements to obtain a data scientist job:

Education

The educational requirements for professionals in the field of data science vary by position, employer, and industry. Data scientists require a bachelor’s degree in computer science, data science, or a closely related field. However, many employers in this field prefer candidates with a master’s degree in data science or a closely related field.

Types of degree programs (Honours) that lead to data science:

  • Bachelors of Computer Science with Specialism in Data Science
  • Bachelors of Computer Science with Specialism in Data Analytics
  • Bachelor of Information Systems (Data Analytics)
  • Bachelors of Data Science with Applied Business Informatics
  • Bachelors of Science in Computer Sciences and Information Systems 

Certification

Though not required for entry, data scientists can differentiate themselves from the competition by pursuing one of several available certifications.

A few examples of certifications related to data science:

  • SAS Data Science Certification
  • Tensorflow Developer Certificate
  • Open Certified Data Scientist (Open CDS)
  • IBM Data Science Professional Certificate
  • Microsoft MCSE Data Management and Analytics Certifications

What Skills Are Required In Data Science Field?

While the importance of data science has only recently been recognised, businesses worldwide are already racing to reap its benefits. Business analytics has become more critical than ever in today’s increasingly digital business environment. An essential skill for a company’s overall success is being able to research, organise, analyse, and get insights from raw data. Businesses recognise that data science provides insights that can assist them in enhancing operations, reaching customers more effectively, exchanging information more efficiently, and increasing annual revenue.

Here are some of the key skills businesses are looking for in the field of data science:

  • Programming Skills
  • Machine Learning Skills
  • Mathematical & Statistical skills
  • Data Visualisation Skills
  • Communication & Teamwork Skills
  • Problem Solving Skills
  • Solid Business Acumen & Analytical Skills
Fascinating Career Prospects In Data Science
Fascinating Career Prospects In Data Science

Careers in data science are flourishing, providing numerous opportunities for people interested in scientific fields. Therefore, seasoned professionals with a Bachelor’s or Master’s in computer engineering can readily consider advancing their careers in data science by enrolling in various online data science programmes.

Data science is and will continue to be, the most in-demand occupation of the current decade. As awareness of the field grows, so does competition among professionals for available positions.

Remember that choosing the right career path is only the beginning; your journey begins from there.

Book a free call online through our website to learn more about a data science degree.

Share This Article

Navigation