In recent years technology courses have increasingly become popular as more people venture into this vast market. Data science is constantly growing and evolving and is critical in a world increasingly reliant on artificial intelligence and machine learning. There are numerous entry-level data science jobs, and it can be a lucrative career pay if you have the right analytical skills.
Getting-entry level data science jobs should be easy as the year’s progress. The data scientist job outlook is strong. The U.S. Bureau of Labor Statistics expects employment opportunities for all data scientists will increase by 36% from 2021 to 2031.
The reasons for this rapid increase in demand are clear. Data scientists help businesses make sense of their data —whether structured or unstructured, internal or external. They also help companies build tools that mine data for insights and turn those insights into business value.
Data scientist jobs require a wide range of skills and responsibilities. From forecasting revenue and managing data quality to building predictive models, the relevant course can help you master the skills you need to succeed.
The U.S. Bureau of Labor Statistics expects employment opportunities for all data scientists will increase by 36% from 2021 to 2031.
Data scientists can work in many fields, from finance to healthcare and retail. The good news is that plenty of entry-level data science jobs exist for those wanting to enter this field. Here are a few examples:
Our List of the Best Entry-Level Data Science Jobs
Here are the best entry-level data science jobs to start with.
1. Associate Data Scientist
Average salary: $103,000 per year
Associate data scientists clean data and prepare statistical analyses. They also help develop new algorithms and create visualizations that show how the company uses data. Sometimes, associate data scientists work on analytics projects for the company.
2. Data Specialist
Average salary: $68,268 per year
A data specialist analyzes, reports, and communicates the analysis results. A junior data scientist is primarily responsible for conducting research using data science techniques. They may also analyze large amounts of unstructured data or develop solutions for organizational problems.
3. Data Scientist – Entry Level
Average salary: $81,824 per year
Entry-level data scientists manage and ensure the data pipeline is always current. They also help their team members to make sense of the data they have collected, which can be anything from raw data to complex tables.
4. Entry Level Healthcare Analyst
Average salary: $70,822 per year
This job involves managing and analyzing big data and working with other health analysts to interpret and use various tools. In addition, healthcare data analysts create healthcare reports, dashboards, and presentations for company managers.
5. Qualitative Analyst
Average salary: $63,219 per year
A qualitative analyst collates and analyses qualitative data to establish relationships. They draw conclusions that are more in-depth than quantitative analysis allows. A qualitative analyst leads a project, works as part of a project team, or reports to the marketing manager.
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Average salary: $86,047 per year
A statistician is vital to new product development and user research. Among other statistical jobs, they help businesses optimize their strategies by arranging surveys, strategic planning, and overall analytical review.
7. Junior AI/ML Engineer
Average salary: $150, 813 per year
A junior machine learning engineer begins by mastering python and machine learning. Later the student moves on to more advanced topics, such as deep learning. Finally, this professional should understand the benefits of data analytics and how they impact business decisions.
8. Business Intelligence Analyst
Average salary: $108,149 per year
A Business intelligence analyst is a person who is responsible for analyzing data from various sources and providing reports and recommendations. The main objective of the job is to provide decision support to the management or to make strategic decisions based on data analysis.
9. Actuarial Analyst
Average salary: $85,273 per year
An actuarial analyst uses statistics to measure financial risk and uncertainty. For example, they figure out how much of a risk an insurance company has to cover specific customers. Then, an actuarial analyst writes those risks into a report and puts a value on them in terms of money.
10. Data Review Analyst
Average salary: $70,822 per year
A data review analyst is in charge of ensuring the integrity and accuracy of data. The review process can include checking the data structure contained within databases and documentation.
11. Data Engineer
Average salary: 128,505 per year
A data engineer is responsible for building and maintaining the database that powers a company’s applications. Data engineers work in the field of computer science that deals with the storage and organization of data for later use. They are responsible for developing new methods, tools, and systems to store and process data.
12. Marketing Data Analyst
Average salary: $73,821 per year
A marketing data analyst uses complex statistical and analytical tools to identify companies’ most important demographics, purchasing trends, and demographic tendencies. As a result, a marketing analyst provides information that improves a company’s future business and product management decisions.
13. Investment Analyst
Average salary: $77,905 per year
Investment data analysts help companies and investors make better decisions by providing the best possible data. They are responsible for collecting, analyzing, and presenting information in a way that makes it easier to understand.
14. Financial Planning Analyst
Average salary: $49,997 per year
Financial Planning Analysts are responsible for working with clients to create and implement financial plans. They are tasked with analyzing the client’s current financial situation, goals, and needs to develop a program that allows them to achieve them.
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15. Software Engineer
Average salary: $125, 511 per year
A software engineer writes and maintains a computer program’s source code or underlying programming. Software engineers usually have at least a bachelor’s degree in computer science or information technology.
Average salary: $126,057 per year
This role requires you to be responsible for developing protocols. These include sample size calculation, study design, and statistical analysis for various studies. You will also ensure that all activities follow internal and external quality standards.
17. Quantitative Researcher
Average salary: $126,038 per year
In this role, you will research the market using in-house suite tools, create and clean new data sources and implement statistical models. You will help companies with business and financial decisions. Quantitive analysts build, implement and analyze models for financials and investments.
18. Data Labelling Quality Specialist
Average salary: $25 per hour
This job involves collecting, analyzing, and reviewing digital documents for related data and errors. You will also oversee the development of new databases, monitor them, and interpret raw data. You will also be required to know all the numbers and patterns and communicate their meaning.
Commonly Asked Questions
Here are some of the commonly asked questions to check out.
What is entry-Level for A data scientist?
To become an entry-level data scientist, you need a bachelor’s degree in mathematics, information technology, physics, or computer science. Additionally, some universities offer specialized data science degrees.
Is it possible to get an entry-level data science ob?
Landing your first data science job can be challenging, but it’s possible. You’ll need to pursue a bachelor’s degree in a related field, build a strong portfolio, join a professional network, find a mentor, create your resume, and prepare for interviews.
How should I start my career in data science?
The first step is gaining some experience in the field with an internship or part-time job. Many companies hire interns year-round and look for candidates willing to learn independently with little supervision from senior staff members.
How can I get a data science job within no experience?
You’re off to a great start if you have programming background and algorithms courses. Having real-world data science projects as well is enormous. You don’t need a math Ph.D. to get a data science job.
There are so many areas of data science to explore, and many of those positions require advanced knowledge of math or programming languages. However, there are also entry-level positions with more generalized responsibilities. Get started with the above list.