Getting a job in data science is, without a doubt, a milestone. Owing to the rising significance of data and data-driven business strategies, the demand for data scientists is growing exponentially across the globe. But how can a data science fresher land a lucrative role in this highly competitive space?
First, Let us acknowledge that breaking into this field and acquiring a data science job for freshers is not a cakewalk. To top it off, the competition in the field is getting harder with every passing day. The trick is to work smart, gather some hands-on exposure, and, most importantly, set yourself apart from the crowd.
Keep reading to find out how to land data science fresher jobs in India.
Get Your Basics Right
Data science is an interdisciplinary field that combines mathematics, statistics, analytics, modeling, programming, natural language processing, good communication, and more. That is, a data scientist is expected to have a diverse set of skills. To stay employable in this field, it is imperative that you develop foundational knowledge in these areas.
Understand Data Science Job Roles
Data science career path constitutes several exciting job roles. Data scientists, Data Analysts, Business Analysts, Data Engineers, Machine Learning Engineers, Data modellers, Data Visualiser, and Database administrators are some of the popular titles in the industry. A clear understanding of various roles will allow you to laser-target a specific career path and work towards acquiring the right job opportunities.
Identify the Role that Suits You
Identify the job that you want to do and the kind of difference you want to make in an organization. Pursuing the right role will not only amplify your chances of landing a job, but it will also give you better career satisfaction in the long run. Your response rate depends on how well-aligned your profile is to a job role. By defining the role you desire, you can also develop the skill set you need to become a desirable candidate.
Get Adequate Hands-on Experience
Data science is often compared to driving; until you have real experience, you cannot be an expert, let alone be an average driver. Whether you are a recent graduate or making a career switch to Data science, you need ample hands-on experience in real-world settings to land a profitable role in the field.
One can achieve this by creating personal projects, contributing to open-source projects, participating in hackathons and competitions, and enrolling in data science bootcamps.
Join A Data Science Bootcamp
Joining a data science Bootcamp is one of the most effective ways to land data science jobs for freshers. Bootcamps are intensive training programs that often span a period of six months. This training follows an up-to-date curriculum, prioritizes practical skills, and provides hands-on experience.
Though conventional education can help you fill your resume with degrees, they often fail to accommodate the growing demands of the industry. To stay relevant, a fresher needs to be equipped with in-demand skills that suit new-age work environments. This is why Bootcamp graduates enjoy a huge demand in the market.
Optimize Your Resume
Your resume should be both engaging and optimally detailed. Not only should your resume resonate well with your employer, but it should also incorporate your understanding of the role. Sell your skills and project yourself as the ideal candidate for the role you are trying to land. Go ahead and flaunt the in-demands skills you have. Do not forget to include your relevant achievements. Also, use keywords from the job description but remember to not overdo it.
Strengthen Your Online Presence
Establishing your professional identity online can turn out to be miraculous as you look for data science jobs for freshers. Make use of professional networking sites such as LinkedIn. Join platforms like Github and Kaggle that are made for analytics and predictive modeling competitors.
Create a personal blog where you publish thought-provoking or informative posts. You can also leverage GitHub to enhance your presence. Originally a platform for developers to connect, share, and learn, it also moonlights as a talent hub frequented by recruiters.
Focus on Professional Networking
Based on professional networking statistics, 85 percent of roles get filled through professional networking. Strong involvement with the data science community can expose you to opportunities you cannot access otherwise. As you connect with seasoned and young professionals, let them know you are looking for jobs. Discuss your skills, experience, and expertise so that they will remember to connect with you when a requirement arises.
Persistence is the key to landing a job in any field. Job hunting in data science can become discouraging, hard, and intensely competitive. But if you have enough skills to stand apart from the crowd and a winning attitude, you can land a good role in a reputable organization.
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