I have been in the data game for 3 years and have been in a variety of different roles from being a dashboard developer, to a SQL/Python developer & data engineer. What is bugging me is that I have a lot of XP in creating self service based tools that generate descriptive stats. I’m having impostor syndrome when it comes to being a data scientist/ analyst because I’ve never been put in a role where my organization wants me to build ml or stat models. Is this norm? I’m very frustrated by this

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Well data science and data engineering are two complete different things. So which is it that you want to pursue? Figure that out and get after it. Personally, I found that I don’t like data science so I side with engineering and building out architecture.

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And to add on to this.. the engineering side will make you more money in the long run

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Yes, it's very common for people in BI roles to want to move toward modeling. You're actually in luck, because you have a lot more data access than other ops analyst folks trying to do the same.

Here's how you do it: be proactive.

Build a model on data you've prepped anyway, then take your potential results to your management. Make a pitch to run a pilot based on the holdout set results signaling value-added. Bonus points if you can find a willing pilot team yourself, though of course you'd have to do this internally. The only thing you need to commission is a few of your personal evenings/weekends (no one said that starting in a new field takes no extra work).

Just know when to move on: not all models will converge easily, and at this point you're looking for a MVP not a research project. I'd say no more than like 24 hours of hands-on time per model, given that you only need some minimal lift and have the data pretty much ready to go. This should be enough for you to try a few algos even if you don't have experience. If nothing's working at that point, find a different modeling question or data source.

Also, get someone with experience to proof your model AND proposed application. The main thing missed by people who've done their modeling homework is how operationalizing the information their tool generates works. People get hung up on metrics, forgetting the users, and as a result miss key metrics. The answer to "will I use the words or numbers that have been added to this report?" should be an emphatic yes. It's never about the model itself, but about the end result. Superior F-scores or AICc or whatever don't always lend themselves to better models, since they can't measure what's not reflected in your sample.

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Here’s another angle: now you get to learn just the fun stuff

uplifting

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Hi fishes,
I am currently working as a Data Science Analyst in Amex and would like to make a switch to Fraud detection/Credit risk modelling in future.(not in a hurry but would like to start preparing for the same)
How should I go about preparing for it? Is MBA the only course?
My current tech stack is Python, Pyspark, Hive, SQL, ML, DL(specifically NLP based). I have already done MS in CS from IIT Kgp.
I am confused mainly cause the tech stack requirement is similar to my role in the company.

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I had a job interview for a role that I really want. The hiring manager scheduled me for an interview and did not show up. Emailed me an hour later stating that he got super busy and couldn’t attend, and would like to reschedule. This is a major red flag, but I can’t help but feel that I am missing out since this role pays 50% over what I currently make. Should I let the recruiter know? What’s your take on this?

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Looking for a referral. I have found my dream role (Project Manager) at Meta and I am in need of a referral for Meta (formally Facebook). I have experience working in analytics, and operations in the healthcare industry. I also possess a Master's degree in a tech adjacent focus, LSS-WB, and CAPM certifications. I'm happy to send a DM, let's connect.

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Cold applied for an awesome role, had an interview with hiring manager, recruiter, and given a pretty hefty assignment that I’m really proud of nailing. They followed up with an email asking for 4-5 days that I am available for a full day of interviews. Gave them 4-5 days, started planning for how I’d get those days off work during insane times at current job, and now not a single word from them to confirm a date. Been over a week now. Sad. Pretty jaded. What can I do? Already followed up

Can someone refer me for Tech Support Specialist role in Google. Please let me know.

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Weighing/negotiating offer to stay in current role or jump - wwyd ?

Current base $150k
Unvested equity $800k


Offer $190k
Sign-on $75k
Equity $40k

Pros - wlb, career growth potential
Cons - offer seems a bit low given unvested at current company - worth it to even negotiate?

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I am looking to transition to an IT role from clinical.
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Hi Fishes,

How much can I ask for a senior product manager role at S&P global market intelligence? My yoe is 7..

Currently have an existing offer of 23l (all fixed)

Will appreciate any suggestions, so that I am not low balled!

Thanks in advance !

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Now that airports are opening up, where should I go to remote work? Boat in the Caribbean? Rent a hacienda in Mexico? Move out to the mountain house in Tahoe? Or stay at my apartment in Manhattan?

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This is for functional consultant/Managerial role

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Any thoughts on food (fast casual) and/or lifestyle franchises that are at present, underrated, but well position for growth in the next decade?

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So I work as an assistant manager at a restaurant for the past 9 months. I've worked in restaurants for the past 6 years science I was 16. Now I'm 22. I went to a trade school for media and film. I got a dream opportunity to work in the field making about the same or 10% more. I told myself the only reason I'd leave this company is for this type of job. Should I take the chance at this job and leave the restaurant that is on the rise and growing?

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Does EY GDS has a office in Gurgaon too or is it noida only?

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