Steven Stark on LinkedIn: #optimization #operationsresearch #datascience #data #...
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Senior Data Scientist | Top Operations Research Voice on LinkedIn | Follow for OR, Python, Interviewing Content and More
2d
Company: We can pay you over $190k per year.
Company: You want $5,000 for relocation?!?! What??!? Do you think we are made of money?
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Senior Data Scientist | Top Operations Research Voice on LinkedIn | Follow for OR, Python, Interviewing Content and More
4d
Is it just me or is anyone else tired of reading/hearing about imposter syndrome?
Do I think that there are people that have legitimate imposter syndrome?
Yes.
However, when I see people use the phrase imposter syndrome, it usually comes off to me as either a:
✅ license to humblebrag:
"I make over a million dollars per year through my own business, working less than 20 hours a week. I previously worked at every FAANG company. I have houses in LA, Seattle, and New York. Everybody talks about how great I am. I receive 20 job offers a day without even applying. Yet, my imposter syndrome kicks in every once in a while."
✅ way to cope regarding an actual skill deficiency
Someone thinks they are an expert at something, but they really aren't. They might not even be good at it. When they get exposed for the skill deficiency, they tell themself that it's just imposter syndrome, not an actual skill deficiency.
Suppose someone thinks they are an expert at Python, but they actually aren't even good at it. Whenever they have to do Python tasks, whether it be for school assignments, their current job, or interviews for a future job, they perform horribly. At first, they start to think that maybe they aren't good at Python (which is true). Then they just say, "oh, that's just my imposter syndrome" and continue to have a false sense of their ability.
To clarify, I am not saying that the person can't learn and get better at Python. I am also not saying that they are bad at everything. I am saying they aren't willing to accept that they are currently not good at something. Instead of recognizing that they are currently bad and taking steps to improve, they just say "imposter syndrome" and don't change.
How do you feel about imposter syndrome? Do you think the phrase is used way too much? Let me know in the comments down below!
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Senior Data Scientist | Top Operations Research Voice on LinkedIn | Follow for OR, Python, Interviewing Content and More
1w
Here is a list of internship opportunities in operations research (OR)/data science (DS) I would consider applying for if I was looking for internships:
✅ Microsoft-Research Intern - Cloud Operations Research: https://lnkd.in/e3_7EYfK
✅ Optilogic Inc.-Operations Research Intern: https://lnkd.in/eQqq8pUd
✅ Intel Corporation-Operations Research Engineer Intern: https://lnkd.in/eeCpCquk
✅ Chewy-Data Science Intern: https://lnkd.in/e8YVcVNZ
Are you currently looking for an internship in DS/OR? If so, what kind of work do you want to do? Do you have any tips for people looking for internships? Share your thoughts in the comments down below!
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Note: I did not partner with any of these companies for this post. These are just internship opportunities that sound interesting to me based on what I know regarding the employers and the job descriptions.
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Senior Data Scientist | Top Operations Research Voice on LinkedIn | Follow for OR, Python, Interviewing Content and More
1w
This is NOT how you network or reach out to people on LinkedIn.
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Senior Data Scientist | Top Operations Research Voice on LinkedIn | Follow for OR, Python, Interviewing Content and More
1w
The results are in!
Not too long ago, I made a poll asking people what they thought the max compensation was for a particular data science job opening.
Below are pictures showing the poll results and the answer.
Here is info regarding the role: ✅ Hybrid role in Detroit, MI. ✅ 2-4 years of professional hands-on experience with predictive modeling, measurement, and advanced analytics (including segmentation techniques) using large datasets. ✅ Proven knowledge and experience developing data & analytic solutions with statistical software such as Python or R – required. ✅ Proven knowledge and experience performing efficient and effective queries utilizing SQL – required. ✅ Understanding of data visualization best practices, preferably using BI tools such as Tableau. ✅ Experience operating within agile methods & frameworks desired. ✅ Ability to develop practical solutions and applications of advanced analytics/supervised & unsupervised learning techniques such as Regression, Clustering, Decision Trees, Neural Networks, XGBoost, NLP, etc. ✅ Experience with data infrastructures required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL and AWS technologies. ✅ Demonstrate the ability to work within ambiguity & evolving business needs. ✅Understanding of data privacy best practices/HIPAA compliance and security of data in use. ✅BS in Mathematics, Statistics, Computer Science, Engineering, Data Science, Analytics, or related field or advanced Degree (MS/MBA/PhD) preferred.
What do you think? Do you think the max compensation is reasonable? Let me know in the comments down below!
Note: I am not interested in this role.
---------- If you would like to see more content like this, or content related to the following: ✅ optimization/operations research ✅ data science ✅ job searching/interviewing ✅ my hot takes
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Senior Data Scientist | Top Operations Research Voice on LinkedIn | Follow for OR, Python, Interviewing Content and More
1w
Worthwhile things in life tend to be competitive.
Examples include admission into top universities, receiving good job offers, and becoming a professional athlete.
These things being ultra competitive does NOT mean life or "the system" is broken.
If a lot more people want these things than there are spots available, then qualified people are going to miss out.
It's unfortunate for the people that miss out, but that's just the reality.
The University of Michigan (Ann Arbor) campus can't hold all 80,000+ undergraduate applicants.
An NBA roster can't hold 100 players.
When a company has a job opening for 1 data scientist, they probably don't have the budget to hire 300.
That doesn't mean you shouldn't try to pursue these avenues though.
There is a reason why a lot of people go after these kinds of opportunities.
Furthermore, what's the solution? Should all of these things just be a pure random lottery?
How do you feel about pursuing competitive things? Do you think they are worthwhile? Let me know in the comments down below!
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Senior Data Scientist | Top Operations Research Voice on LinkedIn | Follow for OR, Python, Interviewing Content and More
1w
Before making a post stating that you are looking to hire a "Data Wizard" . . .
Please remember . . .
There are plenty of talented data individuals that did NOT attend Hogwarts School of Witchcraft and Wizardry.
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Senior Data Scientist | Top Operations Research Voice on LinkedIn | Follow for OR, Python, Interviewing Content and More
2w
⚠️ There's a major party that has been completely forgotten, and thus disrespected, during this whole TikTok discussion.
📱 I'm not talking about TikTok.
🏛️ I'm not talking about the US Government either.
▶️ I'm talking about YouTube!
➡ That's right!
🫵 YouTube has always been there for YOU!
🦁 Who was it that allowed YOU to watch someone's trip at the San Diego Zoo in 2005?
▶️ YouTube!
🎮 Who was it that showed you step-by-step how to solve a puzzle from a video game?
▶️ YouTube!
💸 Who was it that provided you with ads about people making millions of dollars online doing nothing?
▶️ YouTube!
🫵 Well now YouTube needs you!
▶️ YouTube needs you watch YouTube Shorts!
▶️ YouTube has always been there for you.
💳 It's about time you repay the favor!
---------- If you would like to see more content like this, or content related to the following: ✅ optimization/operations research ✅ data science ✅ job searching/interviewing ✅ my hot takes
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Note: This is not a sponsored post. It's a joke. This is me having fun on LinkedIn.
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Senior Data Scientist | Top Operations Research Voice on LinkedIn | Follow for OR, Python, Interviewing Content and More
2w
Don’t throw away a potentially great job over one thing you don’t like about the interview process.
I’ve seen people on this platform talk about how they will rescind their application or decline interviews if:
✅ they have to code during an interview ✅ have a take home assignment ✅ they have to answer technical questions during an interview ✅ the interviewer spent too much time talking
“Interviews are a two-way street”
Okay …
There’s no need to draw the line in the sand over such insignificant things like I listed above.
If the opportunity is worth it, then you should pursue it.
If it’s not worth it, then don’t do it.
🛑⚠️ For my current role, I had to code live in Python and SQL 🛑⚠️
It was certainly worth it for me to complete that process 😀
How do you feel having to code during an interview? How do you feel about candidates complaining about coding during interviews? If you were a hiring manager and a candidate declined to do a coding test, what would you do? Would you disqualify them? Let me know in the comments down below.
---------- If you would like to see more content like this, or content related to the following: ✅ optimization/operations research ✅ data science ✅ job searching/interviewing ✅ my hot takes
Then please follow me here on LinkedIn!
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