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.
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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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6. Statistician
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.