career in data science

Contributed by: Sagar Tamboli
LinkedIn Profile: https://www.linkedin.com/in/sagartamboli/

Life during COVID and after COVID might be relatively similar. Technology, and in particular the internet & telecom/ISP is perhaps the only source of communication, socializing, working, entertainment, partying, education, shopping, banking, and almost everything else.

There is also a sector which however willing cannot leverage online technology, housekeeping, chefs, healthcare professionals, security staff, network support teams, farmers, delivery personnel, electricians, plumbers, carpenters, artists in the entertainment industry, manufacturing industry workers, textile, travel guides, flight crew, and many more.

There are two sides to COVID’s impact. One to many, and many to one.

In this backdrop, I foresee Data Science as an integral part of businesses, daily routines in personal lives, and maybe a new way of networking. So, I thought to myself, let us focus on writing on some immediate components and look at each sector independently and look at possible scenarios “During Lockdown”.

“3-6 Months after Lockdown”

“Time till Vaccine is discovered”

“Time till vaccine is available for everyone”

“Return to Normalcy ”

Data Science as a career after COVID is perhaps the most sought after skill-set in every industry. Of the probable outcomes in the given timeframe, with a greater degree of uncertainty, the likely outcomes are unpredictable. In an ML language, no data point can tell us what could happen during this time frame, and most importantly after COVID. Thus, I am thinking of possible scenarios that could come into action. Machine Learning and AI as a technique feed on data. 

Most of the Big 4 companies today have presumably identified customer buying patterns and leveraged huge datasets gathered over years via multiple sources, and had a positive impact on their respective businesses, tangible or intangible for some of their clients, and are consulting others to leveraging data science to their advantage.

Also Read: How To Build Data Science Competency For a Post COVID-19 Future

Will post-COVID create additional demand for data scientists?, I presume it will. The need for smarter business decisions has never been so desperate and deeply dependent on insightful decision making. However, I believe, IoT takes precedence in the order of investment priorities, not just data science. We will need skilled resources and thoughtful leaders who understand that we need more hardware that can collect data, sensors, database management solutions which can support such stream, business, and visionary analysts, who can build a concept, scientists who can solve the problems, developers who can make the solution ready, and ultimately make a product like this a reality. Some prominent paths that I foresee are – A) Business Analytics, B) Data Analytics, C) Machine Learning, D) Data Engineers, E) Deep Learning Engineers. F) Business Analyst.

I have always advocated horizontal experience over vertical growth. I wish to explain how data science can expand the horizon, and create growth/horizontal career path with some scenarios I ran in my mind.

Education & Human Resources

Tata is expected to have 75% of its workforce to work from home by 2022. Many such conglomerates are planning to do so, which means, managing employee performance, productivity, security, changes, the way we build HR policies, brand, securities, and manage delivery is going to significantly change. For an example – imagine the possibility of your laptop’s camera clicking your picture, recognizing it as you from the HR database and considering it as a foolproof evidence that you have logged in. Numerous use cases like these are possible and a skilled data scientist is the need of the hour.

Traditional education may probably be superseded by new technology-driven platform. While we are not debating the merits, I want to build a point of view that, against the will or for the will, the shift in delivering classes on digital platform may be adapted for the long term. This means we can collect more data on how human learn, how do they develop progressively, or even better, how can we teach them better, the Byju’s app fascinates me when they teach the math concepts, and this can be a prominent choice to build a data science career. Again, the scope and market reach in this segment is huge, imagine you could have every child enrolled as long as they have a 4G phone, and build use cases.

Also Read: Top 7 Data Science Tools that you should know

Marketing 

Post COVID, digital marketing is expected to see an exponential growth. Statistically evidence, which can be interpreted to be the most sought after platforms for marketing, irrespective of the industry! How would you define communication strategies focussed on acquiring customers, retaining customers, releasing loyalty programs, ML is going to play a critical role and timing and precision in understanding the customer is going to be critical to the success of a product.

For example, food delivery at your doorstep (Food Aggregators) from your favorite restaurant has beautifully leveraged ML & AI concepts to their advantage. Post COVID, we don’t know what the customer’s want anymore, we don’t know how the sentiment is going to be, and as ambiguous and procrastinating the situation is, there is an opportunity, ML & AI can come in handy in building intelligent systems, gather more data than ever before, and put this data into action, perhaps, a new era of building business empires and serving customer needs is an outcome, optimistically thinking!

Another such example, with Industries which have not adopted digital platforms yet or are adopting it in the following fiscals of 21,22, will accelerate and prioritize investments in this sector, like the textile, agriculture, real estate, and healthcare sectors. With the data size anticipated at XX Petabytes by 2025, I believe we will have this amount by 2020 exit, if not sooner.

I can only imagine the need for data scientists, business analysts, data engineers, and analytics skills who can put the collected data to an intelligent use and grow exponentially.

Security 

Security Industry worldwide, whether it is a workplace, residential area, government sector, restaurant, or policing, For instance, one of the mandatory rules as we progress in this period, is to compulsorily wear masks and maintain distance, capture symptoms related to COVID, like fever, cough, meaning, security measure is to ensure

1 – Everyone Follows the rule.

2 – Identify the suspect if any symptoms are observed

3 – Trace the contacts.

Perhaps, some companies have initiated this solution as we speak. AI is being used to detect who is wearing a mask in public areas, how far away are they from each other, littering/spitting in public areas. The AI system perhaps leverages a Deep Learning platform, where it matches the face mask, identifies the person and as per the local law’s send an alert with the personal details to the authorities as an alert, who is monitoring from a central location.

Also Read: Top 9 Data Science Job Roles

Drones are being used for monitoring and collecting data, driverless cars can be used to deliver essentials in red alert districts, and at the same time, collect data by leveraging sensors and cameras on the roof. All of this is collecting data, the technology used to build these systems is AI, and the future is only digital.

Smart Cities vision that many top service-based companies have invested in, perhaps will see a wider acceptance and sooner than they thought, gated communities are a reality, mini towns with inbuilt facilities, smarter homes, and secured homes, with the correct target audience, I believe, AI can change residential areas are built and people live in it.

If you found this helpful and wish to build a Career in Data Science, upskill with Great Learning’s PGP Data Science and Engineering course today!

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