Top 5 Data Science Roles for Career Changers in 2022
The Bureau of Labor Statistics predicts a 27.9% increase in job opportunities through 2026 due to the growing demand for data science skills.
So, you want a new and exciting career that pays well, offers remote work opportunities and is in high demand. It sounds like you’re looking for a career in data science—and with over 3 million new job openings forecasted by the end of 2021, it’s the perfect time to pursue this career path.
to Become a Data Professional
Most In-Demand Data Science & Analytics Jobs
If you’re thinking about pursuing a tech career as a data scientist, here are some career paths to explore.
Working as a Data Scientist can require you to call on several skills and tools, such as machine learning and AI, managing databases, automating data collection and providing clear communication to your team members. You will be expected to develop predictive insights and extract meaningful conclusions for stakeholders across your organization.
Business Analysts are unique in this industry because they act as a bridge between data engineers and executive decision-makers. While math and coding isn’t a major requirement, Business Analysts must tap into their breadth of knowledge in data, business, finances and technology to answer questions like, “How is our revenue trending for this quarter?” or “How effective was our most recent marketing campaign?”
If working with query languages and databases piques your interest, then a career as a Data Engineer would be a great fit. Data Engineers prepare data for data scientists, relying heavily on coding skills to design and build the digital infrastructure to store and manage data. Their days consist of extracting data from sources, transforming them based on predetermined requirements and loading it into a database.
Data Architects decide precisely how a data management system should be built, organized and maintained. They design the ‘blueprint’ of a data management system, the same way an architect would design the blueprint of a building and create pathways for data to be moved seamlessly from place to place.
Machine Learning Engineer
This role is one of the more technical ones on this list. These professionals build new algorithms or play with existing ones to answer a broad set of questions. ML engineers act as a bridge between data scientists who focus on statistical and model-building work and the construction of machine learning and AI systems.
& Analytics Careers
Entry-Level Data Science Jobs
Entry-level doesn’t mean low contribution. Even as an entry-level data professional, you will need to keep up with data collection, analysis and visualization. More often than not, these can be remote positions with attractive salaries.
Here are just a few entry-level data science jobs you can expect to find:
- Junior Data Analyst: Average salary: $53k a year.++ This role applies machine learning methods to specific business problems, ensures data quality and designs and develops models that track impact over time.
- Customer Data Analyst: Average salary: $68k a year.+ This position requires substantial research and analysis skills to observe and report market trends and opportunities for improvement.
- Data Labeling Quality Specialist: Average salary: $69k a year.++ This role is responsible for maintaining data entry and coding integrity by preparing source data for database entry and ensuring coding will increase database searches. Research and attention to detail are highly valued.
- Associate Data Scientist: Average salary: $97k a year.+ This role expects you to be proficient in business intelligence analysis and data mining. You will conduct hands-on research, build predictive models and create dashboards.
+Data from salary.com
++Data from glassdoor.com
Train for a Data Science Career in 10 Months
If any of the roles above interest you, our Data Science & Analytics Bootcamp is an accelerated, online program that can prepare you to become a data professional in less than a year—regardless of your current experience level.
Throughout this part-time program, you will follow an updated curriculum taught by expert instructors who actually work in the field and practice what you learn with project-based challenges, resulting in a professional portfolio you can showcase to employers.
You will also train in both data science and analytics so you can increase your value as a professional with a well-rounded set of skills and hands-on experience.
For even greater success, tap into our extensive career services throughout the program. By the time you’re ready to find a job, you will have perfected your resume and LinkedIn profile and gained the confidence to interview with ease.
Not sure about a data science career? Take our 30-hour Introductory Course to test-drive our curriculum, get a feel for the learning environment and get a preview of the field and the opportunities available to decide if this career path is right for you.