Data Scientists Are in Constant Demand!

If you're an enthusiast or in the data sector looking for a path to specialize on, then feel free to grab a coffee or cappuccino because this thread is for you! 🧵
#DataScience #MachineLearning #100DaysOfCode
Data science experts are needed in almost every field, from the government to security. Millions of businesses also rely on big data to succeed and better serve their customers. Data science careers are in high demand and this trend will not be slowing down any time soon, if ever
Anyways let's dive into the leading data science careers you can break into, your roles, and standard average salaries.
1. Data Scientist
Average Salary: $139,840

JD: Find, clean, and organize data for companies. You will need to be able to analyze large amounts of complex raw and processed information to find patterns that will benefit an organization and help drive strategic business decisions.
2. Machine Learning Engineer
Average Salary: $114,826

JD: Machine learning engineers create data funnels and deliver software solutions. You'll typically need strong statistics and programming skills, as well as a knowledge of software engineering.
~ In addition to designing and building machine learning systems, they are also responsible for running tests and experiments to monitor the performance and functionality of such systems.
3. Machine Learning Scientist
Average Salary: $114,121

JD: Research new data approaches and algorithms to be used in adaptive systems including supervised, unsupervised, and deep learning techniques. You'll often go by titles like Research Scientist or Research Engineer.
4. Applications Architect
Average Salary: $113,757

JD: Track the behavior of applications used within a business and how they interact with each other and users. You'll be focused on designing the architecture of applications including building components like UI /Infrastructure
5. Enterprise Architect
Average Salary: $110,663

JD: You'll be aligning an organization’s strategy to execute its objectives. To do so, you must have a complete understanding of the business and its tech needs in order to design the systems architecture required to meet them.
6. Data Architect
Average Salary: $108,278

JD: Ensure data solutions are built for performance and design analytics applications for multiple platforms. In addition to creating new database systems...
...you'll often find ways to improve the performance and functionality of existing systems, as well as working to provide access to database administrators and analysts.
7. Infrastructure Architect
Average Salary: $107,309

JD: Oversee that all business systems are working optimally and can support the development of new tech and system requirements. Similar to this is Cloud Infrastructure Architect, which oversees cloud computing strategies.
8. Data Engineer
Average Salary: $102,864

JD: Perform batch processing or real-time processing on gathered and stored data. You'll also be responsible for building and maintaining data pipelines which create a robust and interconnected data ecosystem within an organization.
9. Business Intelligence (BI) Developer
Average Salary: $81,514

JD: BI developers design and develop strategies to assist business users in quickly finding the information they need to make better business decisions...
...Extremely data-savvy, they use BI tools or develop custom BI analytic applications to facilitate the end-user's understanding of their systems.
10. Statistician
Average Salary: $76,884

JD: Statisticians work to collect, analyze, and interpret data in order to identify trends and relationships which can be used to inform organizational decision-making...
Additionally, the daily responsibilities of statisticians often include design data collection processes, communicating findings to stakeholders, and advising organizational strategy.
11. Data Analyst
Average Salary: $62, 453

JD: Transform and manipulate large data sets to suit the desired analysis for companies. For many companies, this role can also include tracking web analytics and analyzing A/B testing.
Data analysts also aid in the decision-making process by preparing reports for organizational leaders which effectively communicate trends and insights gleaned from their analysis.
If you want to break into the field of data science,
You will need to impress future employers by demonstrating your expertise and previous work experience. One such way you can build those skills and experience is to pursue an advanced degree program in your area of interest.
You can follow @Samuel0X_.
Tip: mention @twtextapp on a Twitter thread with the keyword “unroll” to get a link to it.

Latest Threads Unrolled: