Discover the best outlets for finding job postings and networking opportunities in the field of data science. Learn about the skills, education, and salary prospects for data scientists, and explore the benefits of in-person and live online training programs.

Key Insights

  • Job listing sites such as Indeed, LinkedIn, and Glassdoor are useful resources for finding job openings for data scientists, setting up alerts for new posts, and researching employers and salaries.
  • Indeed offers filters to search by parameters such as location, job type, company, and experience level, accommodating both aspiring and experienced data scientists.
  • LinkedIn offers the unique advantage of networking opportunities, allowing data scientists to connect directly with others about job postings and potentially receive direct messages from recruiters.
  • The U.S. Bureau of Labor Statistics reports a promising job outlook for data scientists, with a median pay of over $131,000 per year and a projected job growth of 36% in the coming decade.
  • Transitioning into a career in data science is possible with the right training, such as data science bootcamps and certificate courses, which can provide the necessary skills for entry-level jobs.
  • Noble Desktop offers in-person and live online data science classes with benefits such as real-time instruction, small class sizes, hands-on experience, and flexible financing options.

Whether you are researching what it takes to become a Data Scientist or you are searching for a Data Scientist job opportunity, it helps to know where you can find reputable Data Scientist job postings. Many job listing sites allow you to set up keyword and new-posting email alerts so that you can be among the first to submit your resume. Staying on top of job postings will also help you to discover the jobs you most want to pursue. The sections that follow detail where to find open Data Scientist jobs. 

Indeed

You can find many job listings for Data Scientists on Indeed. Keywords to search by include “data scientist” and “data science.” Indeed also lets you set up email alerts that help you stay on top of new job opportunities. You can also use Indeed’s filters to search by location, date posted, salary estimate, job type, location, company, experience level, and more. Indeed contains jobs for experienced and aspiring Data Scientists. You can find internships, entry-level, mid-level, and senior positions. You can also use Indeed to research salaries and company reputations. If you are interested in a particular organization, you can follow them through Indeed and stay alert to all new job opportunities for that organization.

LinkedIn

LinkedIn allows you to view job opportunities for Data Scientists that may not be posted elsewhere. Because LinkedIn is a major social media site used for professional networking, it also allows you the chance to connect directly with others about a job posting. If you are applying for data science positions on LinkedIn, you should take the time to make sure you have an optimized LinkedIn profile. Make sure your profile serves as a digital resume, highlighting your skills, experience, and work history. It also benefits you to be connected to mentors and previous supervisors who can vouch for your skills. Recruiters might directly message you on LinkedIn about job opportunities that match your experience. To make sure you never miss a message, review your LinkedIn notification settings where you can opt to receive an email notification whenever someone reaches out to you.

Glassdoor

Glassdoor is perhaps best known for the insights it provides on employers. You can use Glassdoor to view data submitted by employees within an organization. View reported salaries for different positions and locations. Read reviews from current and former employees to understand the organization’s company culture and benefits. You can also find job listings on Glassdoor for Data Scientists and other data science professionals. Glassdoor lets you filter job postings by date posted, job type, salary, location, company rating, and more. You can also use Glassdoor’s resources to review common interview questions, learn about different careers, and research average salaries for different job titles. 

Data Scientist Salary and Job Outlook

Have you ever wanted to start a career in data science but wondered if the job prospects will make the career change worthwhile? Both the average salary and projected job growth of Data Scientists make this a promising career. The U.S. Bureau of Labor Statistics found the median pay for Data Scientists, as of 2021, amounts to over $131,000 per year. The job outlook for Data Scientist is far higher than the national average with a projected job growth of 36% in the coming decade. 

To become a Data Scientist, you will need a solid foundation in math and science, especially computer science. You will also need to understand data visualization tools, machine learning, certain programming languages, and other skills needed to gather, manage, and interpret data sets for organizations. At first, learning such skills might feel overwhelming, but the potential for a lucrative and rewarding long-term career make the investment of time and effort well worth it.

Read more about Data Scientist salaries and the job outlook for a Data Scientist.

Learn the Skills to Become a Data Scientist at Noble Desktop

If you are looking to start a new career in data science, you might think the only way for you to become a Data Scientist is by enrolling in a four-year university or pursuing other costly and lengthy educational options. However, there are many alternative methods available to help you transition into a data science career, including data science bootcamps and certificate courses designed to help working professionals gain the skills needed to obtain an entry-level job as a Data Scientist. Exploring in-person and live online data science bootcamps and certificate programs can help you find the class that meets your career goals, budget, and schedule. The first step to finding the class that fits your needs is to understand the differences between in-person classes and live online classes. 

In-person data science classes meet in a traditional classroom setting at a physical location. In-person classes have the advantage of providing all necessary equipment, such as computers and software, and allowing students to network with local professionals such as your classmates and instructor. You also have the advantage of learning from an expert instructor face-to-face. The primary drawback to in-person courses is the extra time and money required to commute to the physical learning location. Live online data science classes offer many of the same benefits as in-person classes, including the ability to learn in real-time from an expert instructor. You can also collaborate with classmates, and you have the advantage of learning remotely. 

Noble Desktop offers several different in-person and live online data science classes that can help you start a career as a Data Scientist. The Python for Data Science Bootcamp teaches students foundational programming concepts and how to handle different data types, use conditional statements to control the flow of a program, use Scikit-Learn, Matplotlib, Numpy, Pandas, and other Python libraries and tools. Noble’s Data Science Certificate program and Data Analytics Certificate program provide a deep dive into the topics and skills essential to launching a career in data science or data analytics and offer one-on-one mentorship and job search assistance. All Noble Desktop classes provide students with hands-on experience, flexible financing options, setup assistance, a free retake, small class sizes, and real-time guidance from an expert instructor.

Learn more about Noble Desktop’s in-person and live online data science classes.

You can also learn more about data science careers and data science learning options with Noble’s free Data Science Learning Hub.