Make A Career in Data Science in 2024 in 4 Simple Steps 

If you think of a rewarding salary, you might consider the USA as one of the destinations to work. However, do you know? The USA also has the largest Data Science infrastructure and consulting market. Hence, it is also one of the best countries to pursue a career in Data Science. Similarly, countries like Canada, Australia and the UK also offer competitive salaries and job openings for Data Scientists. If you too want to make a career in Data Science here is your guide. 

Comparing Data Scientist Salary in Canada for 2024. Which one is the best?

Demand for Data Scientists Worldwide

Demand for Data Scientists is vast throughout the world. The need to segregate data and use it to improve campaigning and marketing strategies is growing exponentially. Especially the tech giants of the world are making big money through data science and hence the career is also rewarding. 

What is Data Science?

Data Science is a field that emerged from statistics and data mining. It involves using research principles, machine learning, software development and data science. The role of data scientists is to translate data patterns by creating different algorithms. This leads to the development of research that is utilized by government agencies, companies and several other organisations. A Data Scientist is responsible for the following things; 

• Research for insights by finding patterns in datasets. 
• They also create algorithms as well as data models that help in forecasting outcomes.
• They also have to communicate recommendations regarding these insights to other teams in the system and senior staff.
• Data Scientists also have to stay updated with innovations in the field of data science.
• Using machine learning techniques is also a part of their responsibilities. They use it to improve the quality of data or product offerings.
• Lastly, they will have to deploy data tools like R, Python, SQL or SAS, for data analysis.

Learn to Make a Career in Artificial Intelligence: Opportunities & Outlook

Steps to Become a Data Scientist

There are some simple steps that you need to undertake to have a successful career in Data Science. These steps have been elaborated in detail below to help you understand the complete process of launching a successful career in Data Science.

Step 1: Qualify

That is to gain the basic qualification of schooling and graduation. It is better to complete your schooling in the science field or at least have Mathematics, Statistics and Computer Science as subjects. Your graduation should also be in Mathematics, Statistics, Computer Science, Data Science or Machine Learning. Here are some universities that you can look up to for the same. 

• Carnegie Mellon University 
• University of California Berkeley
• Harvard University 
• MIT 
• Georgia Institute of Technology 
• Cornell University 
• Princeton University 
• University of Illinois

Step 2: Learn

After completing the basic requirements of qualifications or along with it, you can learn various skills, techniques and programming languages to improve your skills and expertise in the field of Data Science. Machine learning, communications, applications and many more things are required. Some of them are mentioned in the table below. 

Programming Languages	Python, R, SQL
Data Visualisation Tools and Software	Tableau, Jupyter Notebook, Excel
Machine Learning Tools	TensorFlow, PyTorch, SciKit-Learn, WEKA, KNIME
Big Data	Apache Spark, Hadoop,
Communication	PowerPoint, Graphic tools, Excel

Step 3: Practice

The best way to practice your learning is through internships, part-time work, apprenticeships or research projects. Concisely, this step involves putting your learning to use and learning the application of your skills and problem-solving in the field. The following are the best companies to intern for data science. 

• PwC
• Amazon
• IBM
• Airbnb
• Deloitte
• Google
• Intuit
• LinkedIn 

Step 4: Expertise

Then it is time to start working on your professional experience through companies and organisations that require data scientists. This is the last but extended step to make a career in Data Science. You can choose to be satisfied with a job and take promotions and appraisals within specific durations. On the other hand, you can also switch organisations to work and learn in different dynamics, learning from diverse work cultures and fields in which Data Science can be applied. In both ways, you can make a wonderful career in Data Science. 

Did You Know About These Top 10 High-Paying Jobs with High Demand in 2023?

Skills to Make a Career in Data Science

Of course, you need a definite skill set to make a career in Data Science. Here is a comprehensive list of the skills you would require; 

• Communication skills 
• Storytelling 
• Critical thinking and logic 
• Business acumen 
• Curiosity 
• Adaptability and flexibility 
• Problem-solving 
• Teamwork
• Data acquisition 
• Data cleaning
• Data Manipulation and visualization 
• Model building, optimisation and deployment

Average Salary for a Data Science Career

On a major average, a mid-senior data scientist’s salary abroad will be around USD 130,000 to USD 195,000. Moreover, for those with around 7 or more years of experience, the salary will be around USD 165,000 to USD 250,000 per year. The following table contains data scientist salaries in various countries. 

Country	Average Annual Salary
USA	$123,853
Canada	$90,671
Australia	$113,162
UK	$76,172
Germany	$77,005

Popular Job Positions to Make a Career in Data Science

Here are popular job positions that come under the Data Science career. 

Job Role	Average Annual Salary
Data Scientist	$103,843
Data Analyst	$65,745
Data Architect	$120,706
Data Engineer	$96,503
Machine Learning Engineer	$109,067

Here are some of the Highest Paying Engineering Jobs

Job Roles of a Data Scientist 

Here are some of the roles and responsibilities of a Data Scientist that they must perform daily.  

• Recognise patterns and trends in sets of data. Additionally, you will have to uncover data insights based on that. 
• You will also have to create algorithms and data models to forecast the outcomes of data
• Also, you will use machine learning techniques to improve the quality of data or product offerings
• Moreover, you have to report recommendations to other teams and senior staff
• Deploying data tools such as Python, R, SAS, or SQL will be required as a data analysis
• Stay on top of innovations in the data science field. 

FAQs 

This was all about your guide to making a career in Data Science. For more such informative blogs on jobs that pay a high salary, follow Jobs Abroad on Leverage Edu. 

You might have also read these blogs 

Part-time Jobs in South Korea for International Students	Value of Part-Time Jobs While Studying Abroad	How to Become a Scientist in NASA?
How to Become a Space Scientist?	A Complete Guide to Part-Time Jobs in Latvia	Most In-Demand Jobs in China