9 answers
Brittany’s Answer
Such a good question! I am a campus recruiter for an accounting firm, and what I love most about my job is the opportunity to help students learn more about the Accounting professions and what a career path may look like. When it comes to determining what career path you would like to pursue, although salary may be a factor to consider, it is important to really think about what interests and passions you have. For example, a lower salary at a job you are passionate and love doing is more valuable than pursuing a career that pays you more but you are not interested in.
Hope this helps!
Noorayaz’s Answer
Kimberly’s Answer
I work in Law Enforcement and love that no day is the same. I'm always meeting new people, tackling a new task and using my brain. I get to problem solve and help people which is extremely rewarding. My field is always evolving to combat new problems so there is always something new to learn and contribute.
Jamie’s Answer
Kateena’s Answer
CK’s Answer
To speak on the comment about worrying about making enough money; I find that usually depends on the individual and their own personal aspirations (What do you value more: Having a large family or traveling? Buying a house in a smaller town or renting a smaller apartment but living in a much bigger city?). Almost every organization has people in it (usually towards the top) that are doing well for themselves. So, I wouldn't automatically discount an industry or job right out of school as not possible because it wouldn't pay enough.
Sergey A.’s Answer
Data science is enjoyable in that the problems can be very interesting, the pay is great, there is often flexibility to work from home. There is no shortage of interesting problems, far more than there are people to solve them. However, not everyone will tell you the same story: people at a lower skill level, let's call them analysts, end up doing a lot more routine data work such as helping executives to look things up and compile reports, are paid less, work longer hours and, as with anyone of lower skill level, there is less tolerance for their working from home. The downsides are, limited social interactions and no immediate impact of your job to derive satisfaction from.
In addition, it is not easy to climb from one skill level to another in most fields, and data science is no exception. You can spend 5 years and still be doing mostly mundane, repetitive work, and not "grow". To use a metaphor, if you are a postman, you can spend 5 years delivering mail and not become an urban planner. Surely, you may have free time to study as your job pays the bills, and you may know people in the local administration, and in that sense you have opportunity, but that's about it. Even if you are highly skilled, say, a software developer working at a trading firm, you may be trusted to write infrastructure software but not the quant trading strategies, and you may work for 5 years and still not get there.
Think about jobs in terms of the skills they require. Some jobs, such as being an airplane pilot or a brain surgeon, require highly refined skills. Others, such as being a restaurant manager, still require highly refined skills, in this case the ability to interact with people. Just because it's not taught in school doesn't mean it's not a skill that takes real work to master. Many of the most rewarding and/or highest paying jobs require a high degree of skill in something. Skills can take months or years to develop, as well as a solid plan and process. So you'd want a long-term strategy. You can't just say one day, "I am tired of working with cars, I want to be a pilot now." You can say it, but it may take you another decade to get there, if you make it at all.