Data Science Skills To Boost Your Salary

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jries921,
User Rank: Ninja
11/23/2015 | 6:08:33 PM

Re: More Meetings = More Money

Another possibility is that as one acquires supervisory responsibilities, he finds himself in more meetings whether he wants them or not; and as he gains more seniority, he finds himself more frequently in direct contact with consulting clients. I doubt that participation in meetings per se increases one's earning capacity.

In short, More Money = More Meetings, not the other way around (the commutative property doesn't work in this case).

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nomii,
User Rank: Ninja
11/23/2015 | 12:27:58 PM

Re: Negotiation Skills

@Shamika the tech is very dynamic in nature and is changing every instant. I am sure that by the time someone is skilled in the job of Data science, it must have opened a new venture or new skill. I think we need to initially get ourself accustomed to the basic requirement of the job and then we can have specialized fields. I think this way it will be far easier to adopt or change with the changing envirnoment. I field of IT being stagnant means yu are dead. What do you say?

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jagibbons,
User Rank: Ninja
11/23/2015 | 10:14:47 AM

Re: Working long hours:

Much like the fact that good negotiation skills help drive higher salaries in any industry or specialty, I'm thinking that working more hours helps in any position as well. Salary is driven by a number of factors, one of the key factors being the value the employer places on you. Up to a point, working more hours (productive hours actually delivering value) will increase that part of your personal value proposition.

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jagibbons,
User Rank: Ninja
11/23/2015 | 10:10:20 AM

More Meetings = More Money

Interesting about the correlation between meetings and salary. Data science is still probably a lot more art that science, so it's critical to be seen doing the role and contributing to the company's success. It makes sense that if you are seen doing that role, if you are making a noticable difference to the bottom line through data science, your salary will grow as you are recognized for those contributions.

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Gigi3,
User Rank: Ninja
11/23/2015 | 2:19:37 AM

Re: Valuable Insights on the Skills

"Agree that data science is hot in the technology space right now. I enjoyed learning Spark & Scala myself this year."

Jules, so you are already equipped with necessary skills. Did you find anything (job/career) in a useful way with this new skills/tools.

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Gigi3,
User Rank: Ninja
11/23/2015 | 2:15:53 AM

Re: Career opportunities with Big Data

"I agree with you. This is new domain for IT professionals. However, I not sure whether we have categorized the correct skills and expertise that we should look for."

Shamika, as of now it's taken care by normal data/analytical peoples. But if we need to use it efficiently, specially skilled peoples are very much required.

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julesagomes,
User Rank: Apprentice
11/20/2015 | 4:15:19 AM

Valuable Insights on the Skills

Agree that data science is hot in the technology space right now. I enjoyed learning Spark & Scala myself this year.

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TerryB,
User Rank: Ninja
11/18/2015 | 12:57:41 PM

Re: Excel: 59% of respondents

You mean just the sheer skills needed to mine terabytes and terabytes of raw data? I guess that makes sense as an IT type job, you won't learn that in Calculus or studying probability theory. Thanks for clarifying.

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jyalai,
User Rank: Apprentice
11/18/2015 | 12:50:19 PM

Re: Excel: 59% of respondents

I assume the term data science refers to the highly technical nature of data manipulation that, many times, falls into the business analyst's role. When it comes to data manipulation, my experience is that Excel is still the most predominant tool used among non-IT business analysts, while more IT focused roles using data science use SQL.

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TerryB,
User Rank: Ninja
11/18/2015 | 12:37:53 PM

Re: Excel: 59% of respondents

I must be missing something here on this job title? Why is working with data in Excel considered an IT job and not just a business user job? We've always had Business Analysts or Programmer/Analysts but that historically meant you focused on the business requirements needed in an IT application to be developed.

What you are describing sounds like something that belongs in the Marketing realm? Or engineering if the data collected is related to machine health.

That doesn't change basic point here that it seems to be a hot job now. Just wouldn't necessarily think it would take a degree in Computer Science to do this. Math, definitely. Statistics, definitely. Traditional Comp Sci, not sure about that.

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