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hello, i am a Msc student in Big data & analytics and i would like to learn more about data science career options

fields of interest data analysis, machine learning, big data computer-science career technology machine learning

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Dinesh’s Answer

As Dhairya mentioned The space of data science is huge and covers many different problems, professional roles, and career trajectories.

As there is a lot of scope for a career in data science, the knowledge of these languages play a major role in building your Career in Data Science. Programming is a must in all the fields these days. Especially when you are dealing with data. But having knowledge only in programming don't yield you much. To consider this, let's take a look at the general question that might arise. I would suggest go for some online courses.

Skills You’ll Need: Knowledge of algorithms, statistics, mathematics, and broad knowledge of programming languages such as R and Python. Broad knowledge of how to structure a data problem, from framing the right questions to ask, to communicating the results effectively.

Dinesh recommends the following next steps:

https://blog.hiretale.com/2019/04/career-in-data-science/
Go For some online courses
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Dhairya’s Answer

The space of data science is huge and covers many different problems, professional roles, and career trajectories. As a result the space is both using the term data scientist more liberally to cover more roles that more insights driven like data analyst to more general programming roles like data engineers.

I'd suggest first to think about what types of problems are you interested in solving and what your role in solving them would be. If you are interested in analyzing business data and help companies utilize those insights to build better products, market more effectively, and reach wider audiences consider looking for business analytics, marketing analytics and business intelligence roles. Some will use the title business intelligence analyst or data science - analytics. Additionally, there is opportunities to take traditional marketing analytics and growth scaling roles and bring your data science background to generate novel value through running A/B campaigns, automating SEO optimization experiments, and using your data science skills to drive and evaluate conversion metrics.

If you're interested in working on the customer customer side, consider looking at retail companies like Wayfair, Amazon, etc, where you'll be building and tuning content recommendation models. Many traditional companies like Macy's, Nordstrom's and Walmart are building large datascience teams to uphaul their online shopping experiences and compete with the likes of Amazon. The fashion space is also a fascinating place for data science innovation with companies like Zolando and Stitchfix doing cutting edge research and building fashion recommendation services.

The list goes on. But each of these areas has a distinct set of problems, skills, and needs. By identifying a space you're interested in, you can narrow your focus to apply with greater precision for roles that interest you. You can also identify analogous data driven roles to break into the space or apply for traditional roles that you can innovate with your skills.

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Mitch’s Answer

Check out what leading technology companies are doing/where they are investing in this field. nVidia builds the compute engines for many AI / Big Data analytics and is a good source of info - https://www.nvidia.com/en-us/deep-learning-ai/

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Niranjan’s Answer

All valid answers. Let me point to the tools that will get you there. Search on LinkedIn - jobs and look at people already in data analytics, data science, business analytics kind of jobs. Create a job description. Next, search a site like Medium.com - you will get many, many writeups on how to go about learning datascience online
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Rod’s Answer

Hello


I suggest you explore the Kaggle website as a starter. They have a career conference that is perhaps worth looking at (https://www.kaggle.com/c/career-con-2019). Also they have a job board showing what is available now (https://www.kaggle.com/jobs).


Best of all they have competitions (https://www.kaggle.com/competitions) that give you the chance to try out your skills, learn new stuff, build a network and get noticed!


Rod

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Natasha’s Answer

In addition to what others have mentioned, there are a variety of specializations within data science, including data engineering, A/B testing and experimentation, data visualization, and machine learning. Data science means something different in every organization and even team, so the suggestion to look at roles on LinkedIn may be helpful.

Also, many data scientists are active on Twitter, which could be another good source of information about the work they're engaging in.
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Kartikaya’s Answer

There are lot of very good comments and great ideas to pursue.

Based on my experience what I have seen is, good companies let freshers pursue their interests.
As you have Msc in Big Data & Analytics, maybe you could utilize your current skills to get into a good company.
In most good companies, they let freshers choose projects that they are interested in and because companies have lot more resources you could utilize those resources and learn from already existing projects.

Most of the good companies today have data science projects and if you are interested in Data Science, I am sure you will be able to work on them. You would be able to learn quickly if you are working with an experienced engineer.

I hope whatever you pursue you would be able to find what you love working on and let us know if you need any help.
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