What is a Data Scientist?A data scientist is a person who uses data to solve a specific problem. To extract knowledge from a data set, they use mathematics, algorithms, and machine learning. Although some data scientists work in a typical academic environment, the data science job title we’re looking at is in the business world. The data scientist can use all of the data provided by an application, website, or some other source to assist an organization in better understanding its customers, improving services, or drawing other conclusions. Data scientists may use statistical analysis, mathematics, and Machine Learning techniques to efficiently analyze a collection of data and extract the insights they need.
What does a Data Scientist Job look like?Data scientists have a bright future, as analysts predict that more businesses will recruit people to help them analyze their data. According to the US Bureau of Labor Statistics, employment prospects in data science are projected to grow by 16 percent by 2028, far faster than the national average. Data-driven perspectives on goods and services result from understanding the data provided by customers. The demand for trained professionals to manage and appreciate these vast swaths of data will only increase as these swaths of data prove to be increasingly useful to businesses. Enter data scientists, who make a lot of money deciphering this beneficial information. The demand for data scientists is at an all-time high, which is unsurprising. As a result, an increasing number of people are thinking about how to become a data scientist. Here’s a step-by-step guide to getting a job in data science in 2021;
Required education for data scienceBefore you can work as a data scientist, you’ll need the requisite education, as in other careers. A bachelor’s degree in a related area, such as computer science, information systems, or data analytics, is ideal. Most technical data scientists often hold a master’s degree in data science, usually in a more specialized field. You don’t have to go back to school for a more important degree if you already have one. However, you can look into online data science programs where you can take a few courses. Obtaining additional certifications and licenses would also be beneficial. To become a data scientist, you’ll need more than just the skills you’ll learn in training. It would help if you also considered studying different programming languages and gaining practical experience. There are several books and online courses available to assist you in developing these skills.
Focus on your PortfolioMost employers may also look for proof of your abilities. A portfolio of your work is the best way to demonstrate your comfort and expertise in this field. Start participating in hands-on data science projects as soon as possible and compiling them into a portfolio. This can be accomplished by doing freelance data work and side projects in fields that concern you. To demonstrate your flexibility, your portfolio should include several different data science ventures. It would help if you showed that you know how to program in various languages, sectors, and project forms. If you can join any data science-related competitions, your participation would be a great addition to your portfolio.
Find a PositionIt’s time to start searching for a job once you have a relevant degree and a sizable portfolio. Although flexibility is always beneficial, you’ll have a better chance of landing a job if you focus on a particular sector and have specific skills and certifications. For instance, all Department of Defense contractors must comply with CMMC requirements, so you might receive this certification and improve your chances of landing a job with the DoD. Emphasize the skills and experience you have that are most important to the industry and role you apply for. Grow your network on LinkedIn and try to establish a respectable online presence where employers can recognize you in addition to applying for jobs through sites like Indeed. It’s fine if you can’t get a data scientist job right away. In reality, it may be better to start with a related but lower-level role, such as data analysis. From there, you can advance your career.
Advance your CareerYour best resource for advancing your career is on-the-job experience. In light of this, don’t be too picky with the first job offer you get. If you get a steady job offer in a data-related sector, you should still take it even if it isn’t your ideal role. Consider the first data job as a springboard. If you’ve started your first job, take control by attempting to work on as many tasks as possible without overworking yourself. You’ll gain more valuable experience the more you search out new opportunities within your business. Look for opportunities to advance your career both within your current company and at other companies while you work. You’ll progress as a data scientist quickly if you demonstrate initiative and a strong work ethic.
Skills required to get a data science jobAlgorithms, statistics, mathematics, and machine learning knowledge are all essential. R, Python, SQL, SAS, and Hive are examples of programming languages. Understanding of business and the ability to ask the right questions and find answers in the available data. Communication skills are required to convey the findings to the rest of the team efficiently. To get a job paying this well, you’ll need to have more than a Master’s degree and be familiar with the languages and technologies used to manage data. Here are some skills which are demanding in this arena of data science:
- Knowing R is the most essential and sought-after ability, followed by Python. Python salary in India is expected to be about 10.2 lakhs INR.
- When a Data Analyst knows both Big Data and Data Science, their pay rises by 26%, relative to when they only know of one.
- SAS users are paid in the range of INR 9.1-10.8 lakhs, while SPSS experts are paid in INR 7.3 lakhs.
- Machine Learning salaries in India start at around 3.5 lakhs INR and rise to 16 lakhs INR as you advance in the sector.
- Python is one of the most common languages for machine learning, and Python developers in India earn some of the highest salaries in the world.
- Artificial Intelligence skills will help you advance your career in general. If you are a beginner in this region, the Artificial Intelligence salary in India is not less than 5-6 lakhs INR.