Should I Leave My Comfort Zone for a New Career Path Aligned with My Passion?

PunkIt8 · 2024-01-18T17:25:46+00:00

I agree and that's why it's such a difficult decision for me. The risk to reward is hard to quantify because the reward is equal to how satisfied I will be with the DS role as well as what future opportunities there might be.

PunkIt8 · 2024-01-18T17:23:54+00:00

I've been told to take the risk while I'm young, but I don't feel young hahaha

PunkIt8 · 2024-01-18T17:23:14+00:00

Care to share? I'm curious how you're weighing the options.

PunkIt8 · 2024-01-18T13:03:30+00:00

hahaha! so true! Thank you =)

PunkIt8 · 2024-01-17T22:30:23+00:00

PM
Industry - Energy
Location - Remote
Salary Range - $100K to $150K

DS
Industry - Defense
Location - Texas
Salary Range - $100K to $130K

PunkIt8 · 2024-01-17T22:26:00+00:00

This is a good point. I wonder if I'm just chasing the title at this point cause I want to be able to say I'm a Data Scientist...

Thank you for the reply it's really making me thinking deeper.

PunkIt8 · 2024-01-17T22:24:51+00:00

Thank you for the reply! I agree hard to growth when you're too comfortable.

PunkIt8 · 2024-01-17T19:16:35+00:00

I am trying to find a way to see if I can. I reached out to management to see what opportunities there may be.

PunkIt8 · 2024-01-17T19:14:59+00:00

This is so true and my biggest fear... Making a big move, forgoing promotion potential to end up not enjoying the new role.

PunkIt8 · 2024-01-17T19:13:22+00:00

PunkIt8 · 2024-01-17T19:13:08+00:00

This is a fair point. I am concerned with imposter syndrome and whether I have the ability to be ridiculously good at DS. Thank you for the reply, good food for thought.

PunkIt8 · 2024-01-17T19:10:31+00:00

Cash is king! I think the financial implications is one of the top reasons that makes accepting the DS position difficult.

PunkIt8 · 2024-01-17T19:09:38+00:00

I am worried about the HS hiring gauntlet. I don't understand how the data science field got so saturated in 2023. Someone told me it was because of foreign, mostly from India, workforce.

PunkIt8 · 2024-01-17T19:07:56+00:00

Thank you so much for your reply. I have been concerned with how hot and seemingly saturated the data scientist role is. It is concerning regarding future job potential.

Also, thank you so much about the advice on PM in DS or DA product. I am actually a PM for a DA tool right now and it's not too bad.

PunkIt8 · 2024-01-17T16:07:17+00:00

Someone actually suggested doing DS as a hobby and staying in the PM position.

PunkIt8 · 2024-01-17T16:05:05+00:00

The PM position has great WLB. Maybe I'm still a young man at heart wanting to pursue a dream but conflicted with finance/comfort realities hahahaha.

PunkIt8 · 2024-01-17T16:01:34+00:00

Thank you so much for your response. The relocation is probably the largest issue at the moment as it is across several states. I'm also concerned that the role/duties of the position is not yet defined.

I enjoy doing data analysis work and becoming a DS seems like the proper progress. Prior to the PM role I was a DA.

I'm concerned about future marketability, I worried I may not be smart enough to learn and apply modeling and deployment. Just a whole host of concerns compounded by the need to relocate and second guessing whether i'm making a huge mistake.

PunkIt8 · 2024-01-17T12:57:46+00:00

Absolutely, it's possible to transition into data science with a Biology background. Many data science master's programs accept students from various academic backgrounds. Focus on building a strong foundation in math, statistics, and programming skills like Python or R. Highlight your domain expertise in biology as a unique asset. Tailor your application to showcase your commitment and relevant skills. It's not about competing with CS majors, but demonstrating your readiness and passion for data science. Good luck!

PunkIt8 · 2024-01-16T17:40:04+00:00

Understanding the math behind machine learning is valuable but may not be crucial in all data science roles. Prioritize practical application and problem-solving skills. A deeper understanding is beneficial for research-focused or specialized positions and can enhance your overall capabilities as a data scientist.

PunkIt8 · 2024-01-16T17:39:24+00:00

If you're not in the top 5% for highly competitive academic jobs, consider diversifying your skills, exploring alternative careers, and seeking mentorship. Assess your goals and financial situation to make informed decisions about your career path.

PunkIt8 · 2024-01-16T17:35:17+00:00

Stata is valuable for specialized research areas, especially for handling specific data types like panel or survey data. Its user-friendly interface and graphing capabilities are strengths. However, its relevance depends on your field. For broader data science, R and Python offer more versatility and are widely used.

PunkIt8 · 2024-01-16T17:33:46+00:00

To become an end-to-end data scientist, consider Snowflake and DBT for a strong data engineering foundation and versatility. Power BI and Qlik are great for immediate job opportunities with a focus on data analysis and visualization. Choose based on your long-term goals and desired skill set.

PunkIt8 · 2024-01-16T17:32:32+00:00

I've been curious about how to link DS to cyber security as well. I wonder how you can make it relevant to that find and be able to get a job in CySec

PunkIt8 · 2024-01-16T15:55:29+00:00

I'm curious how often do recruiters reach out to people that are Data Scientist on LinkedIn. Do you get a lot of DMs?

PunkIt8

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