THINGS TO KEEP IN MIND BEFORE SELECTING YOUR NEXT DATA SCIENCE JOB

SELECTING YOUR NEXT DATA SCIENCE JOB

As quoted by W. Edwards Deming, “Without data, you’re just another person with an opinion”. And we’re sure you never want to be that person. Data science, over the years, have been showcasing advancements in leaps and bounds and at a consistent rate. Understanding data science could be intimidating at times, more so when you’re staring to step into the field of big numbers and formulations. Addressing questions like- “Which tool to learn- R or Python? Do I need to learn coding? What techniques to focus on?” and many others, is the prerequisite when you start to see yourself in the field of Data science.

Navigating through the data science career can become a daunting task for beginners due to abundance of resources to choose from. We’d still emphasize that it’s Data science, not rocket science. A well-thought roadmap could be the stepping stone towards making your own success story in the field of data science. No doubt, there’s a gamut of data science roles that one could get into, but selecting the one that is best for your skillset is definitely a critical move to undergo, before jumping on any.

Data science is a hot new field that promises to revolutionize industries from businesses to government, health care to academia. Hence, there are a variety of roles under the data science umbrella to choose from.

Here are some quick tips to that’ll come handy while you decide for your dream Data science job role:

CHOOSE THE RIGHT ROLE

Data visualization expert, ML expert, a data scientist, data engineer, etc are a few of the many roles that you could go into depending upon your background and work experience. Talk to industry experts, take mentorship from people and figure out what works best for you in data science.

TAKE UP A COURSE/ CERTIFICATION

Arming yourself with credible industry-specific data science certifications from leading industry players like Stanford, USDSI, MIT are offering online certifications for making your dream a reality. Actively follow the courseware, assignments and all discussions happening around the courses.

CHOOSE A TOOL/ LANGUAGE

Ask yourself the question- Which language you are skilled in? Hone the tool or the programming language according to your skill and interest- Python, SQL, R or any and keep at it until you become a master.

JOIN A PEER GROUP

The task seems a bit easier when you have your friends or peers around in the daunting task of getting your hands-on a data science role. Interacting with the batch mates and online forums keep you motivated.

FOCUS ON PRACTICAL APPLICATIONS, NOT JUST THEORY

Make sure you understand the applications, work on a few open data sets and apply your learning.

FOLLOW THE RIGHT RESOURCES

The most useful being the blogs run by most influential data scientists. These are really active and update the followers on their finding and frequently post about recent developments.

HONE YOUR COMMUNICATION SKILLS

Being technically profound is not the only prerequisite for cracking a great data science role, you got to be even great at communication skills and how you connect with peers.

NETWORK WISELY

Once you’ve got the hang of the field, you can attend industry events and conferences, popular meetups and hackathons to build your data science community.

SQL and DATABASE KNOWLEDGE A MUST

Knowledge of data storage techniques and basic big data will make you a much favourable candidate that organizations are looking forward to appoint.

MODEL DEPLOYMENT IS YOUR SECRET SAUCE

When its time for the intended user/ stakeholder to reap the benefits of the predictive power of ML model, model deployment skills come into play.

KEEP UP WITH YOUR RESUME UPDATION

Prioritize your skills according to the job role, mention data science projects to prove your skills and don’t forget to mention credible certifications to nail the job.

GUIDANCE IS ESSENTIAL

Find a mentor who’s navigated his career in the field and gain knowledge about ins and outs of data science.

Apart from the above pointers, it is also of utmost importance to understand what the market or the recruiters/ interviewers are looking for in you as a data science professional. Responsibilities of data scientists always outnumber the skills they must possess.

Top data science skills demanded by the employers are listed below:

  • DATA VISUALIZATION- The ability to visualize data is an absolute necessity for aspiring data scientists as decision-makers can quickly grasp trends without getting into huge explanation.
  • PYTHON- This is the magic potion for all data scientists to deal effectively with and beat any problem in the data science world.
  • SQL/ NoSQL- These are necessary skills and are applied depending on the challenges at hand.
  • SOCIAL MEDIA MINING- It helps to identify useful patterns that a business can use to develop greater understanding of audiences’ preferences.
  • FUNDAMENTAL STATISTICS- It helps you to gather, organize, analyse and interpret data to facilitate daily practices of data science.
  • NATURAL LANGUAGE PROCESSING/ MACHINE LEARNING- Data scientists are computer language geniuses, responsibly handling data problems and translating at times and serving data analytics requirements.
  • MICROSOFT EXCEL- It helps data scientists to quickly assess and distil conclusions from raw data and develop macros.
  • HIGH-LEVEL MATHEMATICS- Understanding mathematics is an intrinsic part and backbone of any data science role.
  • TEAMWORK- Cohesive and collaborative power of a team is crucial than intelligence of a member.
  • COMMUNICATION- You must know how to convey conclusions from the data and translate technical jargon into simple English for your audience.
  • BUSINESS SAVVY- A decent level of business acumen won’t hurt your aspiration for a data science dream role, rather would assist you in getting one.

As a newbie in the data science industry, it’s imperative to stay updated with the data science processes and the popular app- KAGGLE– that works like genie for your data science ambitions. It’s definitely a game-changer in the field and is customizable and offers a no-setup notebook environment. Comes loaded with access free GPUs and acts as a huge repository of community published data and code that comes handy for all your data science works. Conquer any analysis in no time with over 50k public datasets and 4Lac public notebooks. Explore and build models at almost no-cost and resolve data science challenges at a much faster pace with this crazy app. Working in data science is professionally rewarding endeavour, just keep up your skillset game. so, get to work, armed with credible data science certifications that land you in a great data science role.

By aamritri

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