You have just added data science to your qualifications. Congratulations! Now is the time to start applying for jobs.
If you want to get started in tech as a data scientist, here are some tips to get a job quickly in the booming data science industry.
Don’t delay getting started
The first step is to get right to it. Start with the Institute of Data’s job search website, and then try Seek.com, Indeed.com, LinkedIn, and Glassdoor. The Institute of Data posts jobs regularly, features companies that hire data specialists, has a job alert function and a search feature for data and IT vacancies.
Before applying for advertised positions, update your resume. On average, a hiring manager takes less than 30 seconds to look at a resume or LinkedIn profile before moving on to the next candidate. Therefore, you will want to ensure yours is up to date to show all your relevant skills and attract recruiters’ attention.
Start by adding newly acquired data science skills and professional experiences required in the job description. Provide details about what you did and how you did it. Show how you made a difference by keenly describing your job responsibilities. Tailor your resume for specific kinds of jobs to make them relevant and stand out.
Put your most relevant professional experiences first. Include achievements, certifications and qualifications. For your LinkedIn, post a professional profile picture that is sharp and shows you in a professional manner. Update your “About” summary to one that powerfully communicates your passion, interests and skills in data science. Also, add relevant data science details to your “Skills & endorsements”.
The sooner you update your career portfolio, the sooner you can find your dream data science job. But after applying, you will need to factor in time for replies. It takes on average two weeks for the job application to progress. So if you don’t hear back after two weeks, don’t be afraid to follow up.
Apply for jobs that are right for you
Apply for positions at companies that you think are right for you. Focus on occupations with the right cultural fit and are suited to your skills. Seek a working environment that fosters learning and improvement. Don’t apply for a position too junior or too senior for your skillset.
Your previous professional experience and skillset will influence whether you will apply for a job in a small to medium enterprise, a large multinational corporation, or a business start-up. Look for an opportunity to gain a mentor. Your career will benefit from working with senior data scientists, who will offer you guidance and mentoring for your professional growth in this demanding industry.
Work on having a solid understanding of business
Hiring managers are looking for prospective employees to display strong business understanding. In any industry, poor business understanding is a weakness in the eyes of hiring managers.
To develop a strong appreciation of the data science industry, be aware of what you can offer prospective hiring managers and future workplaces. The job titles data scientist or data analyst are widely used and has various definitions, ranging from someone who has senior experience in data science to a graduate who’s starting at entry-level.
Taking the initiative to develop your skills beyond pure data science only adds to your advantage. Being aware of your current hard and soft skills and applying them to data science demonstrates adaptability, flexibility and problem-solving. This can distinguish you from other applicants and increase your chances of landing that job you want so much.
Prepare for your next interview
The job interview is the most crucial stage in the job application process. It is your time to shine and make an excellent first impression. Be well prepared and show why you are the right person for the job.
First, analyse the job description, tasks and role requirements – all will give you an understanding of the job on offer. Second, research the company and understand what it does and what it is trying to achieve.
Before entering the interview room, practise what you are going to say. Conduct a mock interview in front of the mirror or with a family member or friend. Write down your answers on paper to likely questions and refer to them until you no longer need to. Do whatever it takes to feel 100 per cent ready before your interview. Your preparation will pay off when you land your job.
During the interview, show how you stand out and make it clear to the interviewer why they should select you. Research and know how to respond to common interview questions. Answer interview questions using the STAR method (Situation, Task, Action, Result). Demonstrate your understanding of data science and the tools and techniques used by providing industry examples, capstone projects, assignments or case studies. Now is the time to show what you know and what you can potentially do for your prospective employer.
Take control, take responsibility: It is up to you
Being prepared is half the battle towards finding your dream job. With a determined mindset, along with a strong passion for wanting to work as a data scientist, it will not be long before you accept an offer. Good luck!
The Institute of Data’s full-time and part-time programs will help you achieve your career goals and connect you with thousands of industry partners seeking professionals with skills in data science. Talk to a career consultant today and take the first step.