Data science career reddit. Hey, was wondering if I could get some advice.

Data science career reddit I think you can break back in should you want to. It super easy if you put your time into it. Knowledge about the concepts of Artificial Intelligence and Machine Learning are also beneficial. How on earth am I supposed to work my current data science job and spend the time to build out a fun, domain Hello, I am a graduate who was applying for Data Science and Data Analytics jobs, I recently got an offer for a Data Engineer position. Personally for trading I prefer data science students over statistics. However, doing a masters abroad does limit your ability to network with American data scientists and American companies, which definitely can impede your ability to get interviews. Solo pa nila ang mga project kaya ang lungkot at hirap din. reddit's new API changes kill third party apps that offer accessibility features, mod tools, and other features not found in the first A few weeks ago, there was a post about the data science job market being oversaturated with analysts with 0-2 years of experience, and that anyone with 5+ years of DS experience should have no problem getting a job in today's market (in the U. It’s not AI, but more focused on making sense of new massive data availability. What If I am able to get a data science job with a linear model having R-squared value of -0. I don't seem to be having too much luck with Data Science jobs, I understand that while Data Engineers still work closely with Data Scientists and Analysts that they require different skill sets. Those are both science major which are great benefits. I’m in a biotech space so my new “GitHub” is publications that I add to LinkedIn that demonstrate skills in modeling and analysis. CSCareerQuestions protests in solidarity with the developers who made third party reddit apps. I like the math, the work, and the field itself, and feel good about my competency there. Forecasting, regression, classification, clustering, and causal inference are categories of data science that make up most of the efforts my team and I work on in retail data science. It was a data analyst position in the Digital Marketing industry Data science tasks are harder to automate than most fields because its usually very data dependent and data rarely stays static. Not one. Hi OP please jump out of the data science bandwagon!! It has nearly no jobs for freshers and the people who do get jobs are either from iit bits nit or they have demonstrated experience with contributing in novality papers having extremely good knowledge of statistical tests, experiments, DOM, Optimization algos used in supply chain and econometrics ie they have mtech or phd Having had worked as a back end developer, some front end development in vue. at least). My work includes processing So I am a self taught data analyst currently working for cybersecurity company in nyc. Imo it shows you understand that data science isn't just "write model," a ton of work and infrastructure goes into deployment and front end use. Within less than 2 months of rapidly doing the courses I got certified in google data analytics and received certificates in SQL and R Programming and Data Everywhere. A senior data analyst will know way more about how to interpret data, model outputs, and business use cases than a junior data scientist, even if they don't know the finer details of Spark or whatever. S in Microbiology. For example, I would never trust any generalized automation tool that cleans data, transforms data, builds models, etc. I didn’t meet any of the requirements for the position except for having a healthcare degree(I have a doctorate of physical therapy). I graduated three years ago with a BSc in math and 4 years experience as a research assistant in mathematical modelling -- basically data science. Internet Culture (Viral) Amazing; Animals & Pets I’m in the process of moving on from my first job post Data Science Bootcamp (and technically post-college). Data Science Degree a good career move? More importantly however, the behavior of reddit leadership in implementing these changes has been reprehensible. /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. I'm wondering which field has more abundant opportunity or is expected to Whether you're driven by intellectual curiosity, the promise of a lucrative salary, or the desire to make impactful data-based decisions, a data science career offers endless possibilities. View community ranking In the Top 1% of largest communities on Reddit. DS at Reddit? Currently IC5 DS at Meta for a few halves, curious about what it’s like working at Reddit in DS (TC, WLB, culture, etc. Let’s get started. It’s said that ~80% of ML models these days never make it into production. To learn data science for a finance career, I recommend enrolling in courses at TutorT Academy. Data Science Career 23m. The pay is not worth it later on, but starting salary for fresh grad is good (45k to 50k-ish). Data science is also a rapidly changing field, so I'd worry that a data science undergrad major would leave you really prepared for the data science world of 2017, but wouldn't give you the tools to be prepared for the data science world of 2037. That seems to be the current trend of 2024. While there ARE a certain number of jobs where a data science is more like a software engineer (where the company’s product IS the Most of your competition will just build clones of popular apps like Facebook or Reddit. What can i do to start my data science career in India, asking data scientists/analysts and machine learning engineers of India. Anyways as a Data Scientist with 4 years experience my salary progression (including bonuses) has been: The reason you can get every data science job with a computer science diploma is that there isn't all that many data science programs out there (with respect to people taking it). So, in the midst of a pandemic and living in upstate NY (not exactly a Data Science boom area) I needed to find my second Data Science job. Some new tenders are nearly all data science related. If a data science team needs data engineering work , you’ll be better prepared. The company got hooked on data science, and I became their first data scientist. To be fair, you already have data science experience. reddit's new API changes kill third party apps that offer accessibility Hi, so I often see posts on how to pivot into data science in a career switch, but not what you can use with your skills to pivot into something else. Data science is growing outside of tech. Most Data science jobs I see advertised are basic Analyst/BI/Dashboard building kind of jobs. I made sure to do data science internships (even remote ones). Internet Culture (Viral) Amazing; Animals & Pets There are a lot of people trying to get into data science jobs. After 450 job applications in 6 months, targeting only remote jobs, I got around a dozen phone screens, 5 job interviews (including one where the CEO took the zoom session from her couch), and 1 job offer. I can't even get an interview or a call-back in most cases. Data science is increasingly being used in the finance industry for tasks such as risk management, fraud detection, algorithmic trading, and customer analytics. I went on google coursera and immediately took a course in google data analytics. Internet Culture (Viral) Amazing; Animals & Pets One quick question if I may- I've enrolled myself in the Data Science career path as this has been an interest of mine and also a potential career shift in the near future. (Context: this question came up to me during an interview for a data science job. Remember the reddit self-promotion Start with Python for Everyone, then go Intermediate Python, then Data Visualization, then Data Science. At my company, they're interchangeable. Like Analyst, Data Engineer, ML Engineer. reddit's new API changes kill third party apps that offer . Please do not message asking to be added to the subreddit. However, many individuals are experiencing a different reality when it comes to finding good job prospects, particularly as freshers or interns. /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers This subreddit is dedicated to answer specific questions about data science careers. The web is full of thousands of articles, recommendations, blog posts, reviews and ratings about different courses and certificates in data science. There are a lot fewer "phony" data science jobs than people think. This sub will be private for at least a week from June 12th. It could give you other tools in the tool belt. Then I chose data science as a career within that industry because it had the most interesting kind of work. Once you've crossed that threshold and actually have the job title on your résumé, you've eliminated the single greatest obstacle to getting DS work. As a member of our community, you'll enjoy: 📚 Easy-to-understand explanations of business analysis concepts Meanwhile the real data science jobs are now called “applied” or “research scientist”. ). With both data science and software engineering I've noticed having AWS/Azure or some other cloud platform certifications can be huge for hiring and getting promotions/raises. Drinking coffee, checking reddit and stackoverflow, being in meetings. But the data science work my team does is not at all research-oriented; instead, it is business-oriented. I'd Data science and data analytics are functionally largely solving the same problem domain. Meta yjfhfj. 5 in finance and 2. It's a sad joke that employers post even junior DS jobs where they say they want 2-5 years of experience as a data scientist. Basically if you're good with numbers, know how to code and build a portfolio then you can get a foot in the door. and am interested in pursuing a career as a data scientist or something to do with data science. - Do not spam. Or they’ll write a case study on Web3 just because it’s in vogue. 1. Yes, you can pursue a data science career in finance. A masters in either of the above from MIT/Harvard will blow the data science/business analytics masters from the same schools out of the water. Previously, I have ~4 years of data science experience (1. What are your suggestions for making this career transition? What type of education/training should I seek? Also, how do I get my first job? Even the junior data scientist jobs seem to ask for 1-2 years of experience. reddit's new API changes kill third party apps that offer accessibility features, mod tools, and other features not found in the first party app. Do you own any technical knowledge besides Excel? Do you have any programming or database experience? It depends on you and your caliber There are three main data scientists, ETL engineers who focus on data extraction and cleaning as well as creating pipeline for them very cs heavy, data analysts essentially low level data scientists but generally they expect you to have field My thinking is that data science will evolve into something that is more a skill set that will be paired with other things: cybersecurity, business intelligence, DevOps, Financial Analysis, etc. Data Science is difficult and often requires hard work, talent, and real investment to get right. For people with a qualified engineering background, data engineering is the new cash cow. At the end of the day the only thing that matters is how much you know and how well you interview, if you get past the initial resume screen, an MS in data science is viewed as a stat + CS guy and their interview questions will revolve around those topics (more so in ML). If you want to join the elites, then you should follow others' suggestions and go after some software engineering skills; Learn how to package, version control, CI/CD, and ultimately deploy. a “level 2” data scientist. Once you think you are good enough, create portfolio projects on LinkedIn. Type A is more like a decision scientist who leverages data science to help executives and managers make A space for data science professionals to engage in discussions and debates on the subject of data science. - All reddit-wide rules apply here. Or check it out in the app stores     TOPICS. _This community will not grant access requests during the protest. Here are my skills: -Completed Udemy courses for Data Science/Machine Learning and SQL -Experience with Python: general Python, NumPy, Seaborn, Matplotlib, and Plotly -SQL, specifically PostgreSQL. If you want to do more interesting/difficult jobs, then data science has a lot to look into, but then Air Force, CIA, NSA, or civilian MLE jobs at the pentagon are the best options for data science work in the military. I recently got hired by a company as a data analyst, i don't have a formal degree in computer science but I do have a B. (my_qualifications: currently pursuing bca from ipu from New Delhi) /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. Having a PhD communicates to me that you're more interested in something that's fundamentally different from the type of data science work that my team (and indeed, the vast majority of data science teams) do on a day-to-day basis. They’ll find the most popular Kaggle dataset and download the CSV file. None of them mentioned certificates. Yes, there's the odd person out who does contribute as a hobby outside of work, but by and large all the medium article people are not In a data science job, you have to be able to communicate well, produce more quickly, work with several different people (and other teams), all while producing reports. To add to what u/common_destruct said, "specialist" and "analyst" are titles that are more company specific. But, if you only have time to spend in five different communities, these are the ones you should focus on. Nothing precludes you from changing careers to data science when you turn 30, How well-versed are you in advanced mathematics (calculus, linear algebra, statistics)? These form the cornerstone of data science. With data science it is not as clear. KLBS38 Our friendly Reddit community is here to make the exciting field of business analysis accessible to everyone. There is a lot of data science gatekeeping. But By far, most of the people who "do data science as a hobby" are people without jobs trying to land them. Anyone can help? In addition to the links people have suggested, you could look at Data Science For Social Good and ClimateBase for examples of projects and jobs in tech/data that have some purpose. PS. Here’s what we learned: certificates certainly won’t hurt your job search as long as they’re presented correctly. I fundamentally disagree with the notion that data science managers should be 90% hands off. Also, yes. since if i dont get a job that invloves little codding but more statistics/analytics like: data science quantitive finance Get the Reddit app Scan this QR code to download the app now. Hi all, I am trying to narrow down my focus of study and it's between cybersecurity and data science. We talked to more than a dozen hiring managers and recruitersin the data science field about what they wanted to see on applicants’ résumés. But yeah like, Data Science is legit the NEXT thing fosho. _This community will r/datascience: A space for data science professionals to engage in discussions and debates on the subject of data science. As whilst certain bits of data science that were of interest like model building aren't necessarily the key bit of the job. Veteran Data Scientist: Data Science job without an MS/PhD, but with 10+ YOE Rules: - Comments should remain civil and courteous. I am thinking about making a career change to a more relaxed job, preferably still in data science, but it seems all the jobs I Looked around a bit on the web, scraped some data, and built an ingredient recommender- and substitutor that accomplished that same goal but much better and cheaper. Please follow proper reddiquette, and keep the discussions professional. Pretty hard for either to exceed $500k annual comp (base+bonus+annualized equity) for either. Are you currently employed? If not, get a job. Joking aside, there is a flaw with your question, and that is that you assume that all data scientists do the same tasks, or have even moderately similar day-to Due to its multi-disciplinary nature, Data Science requires you to have a broad set of skills, including knowledge of Mathematics, Statistics, Computer Science and Hacking/Coding, coupled with substantial expertise in business or a field of science. Most of the data science work happens abroad & there are very few roles in India. One thing to consider is that there are a lot of data science jobs that would be exactly like the job you disliked, and I feel like those are the ones you are more likely to be able to get with a bachelor's degree, although you might get lucky. S. Focus on Data Science and Data Vis and learning the concepts. I think you should switch careers if you do not like Audit/Accounting anymore, as I will say Data Science is not the easiest career switch to make especially if you don't have a natural aptitude for maths or programming. Career Change into Data Science Just wanted to get the subs thoughts/ best practices/ advice for I applied to over 100 places and got 1 interview. Udemy and coursera courses are worth it. If you are, figure out a way to apply data science in your job, then put it on your resume. Plenty of data scientists come from maths, stats, comp sci, Econ, or engineering backgrounds. Summary In this role you’ll work with our researchers to do cutting-edge deep learning research—conducting experiments, creating infrastructure, and developing tooling & visualizations—with the goal of developing more human-like machine intelligence. The job posting stated that they wanted 3+ years of experience and a bunch of other things I did not have. Add Pytorch or TensorFlow, and you qualify for almost 3/4 of the jobs. These will be Officer pay trade jobs that will resemble data science more than analyst excel work. I'm only 23 years old and didn't have much prior experience(my finance degree helped but nothing else). _ This is true for most data science jobs in India, that's why most Indian data science openings are filled by CS graduates and not graduates from a mathematical field. Depending on your role and responsibilities, you'd be wearing a bunch of hats. It was a clinical data analyst job at a local hospital. So after talking to him, I'm sticking to data analytics for now however I'm working on side projects that benefit my job role but are more data science focused. Academia does not usually have data sets big enough to interest companies Really depends on the field and experiment. - Do not post personal information. I think that covers all the points in your post. Math of Data science (a deeper dive into vector calc and stats) 3. The current job market is really tough for entry level data scientist and I would suggest getting a higher level education that has a good network for data scientist. Hey, was wondering if I could get some advice. But they’re unlikely t Learn about 12 data science careers, along with their average salaries and common duties, to determine which role you might want to pursue in the workforce. The domestic students in my program who have some work experience around data (and don’t require sponsorship) are having no issues landing Data Science or MLE jobs despite the current state of the tech industry. Also look up the JAIC (Joint Artificial Intelligence Center) to learn about more cool stuff in the DS realm of the DoD. All this to say, a data science masters could assist you if you are real interested in the MLOps side of data engineering. Why the fuck are you comparing no-name CS to literally the top university on the For a guy like me do you double majoring in cs and statistics or majoring in statistics/maths and minoring in cs are more vailable options. With those 2 skills alone, you already qualify for most Data Science jobs. reminder for all the data science folks: it's okay for your job to just be a job. Get the Reddit app Scan this QR code to download the app now. Lastly, if you get rejected from any company, turn that into an opportunity to connect with your interviewers on LinkedIn. This applies to people already working in the field, as well as to those who are trying to enter the field. - No 3rd party URL shorteners - Questions related to career entry go Now, I’d the dream is data science and you want to make a career being specifically a data scientist this is likely not a smart move but neither does it end your data science journey. It’s hard to know what a “level 3” data scientist should know or be able to do vs. CSCareerQuestions protests in solidarity with the developers who made third party reddit apps I also love working with data. Your degree will only get you the interview. The interviewer asked me how to deal with the non-zero probability at count = 0 for poisson or negative binomial distribution, and I suggested transforming the data by deducting 1 from all counts which apparently was wrong. reddit's new API changes kill third party apps that offer accessibility features I personally knew some data science (not those data engineers or business intelligence ang function pero data science nilalagay sa title) Sobrang stressed and burned-out daw sila sa work nila. What is the type of data science work that you're interested in doing When people talk about career path, most of the time they're talking about whether you want to remain an individual contributor, becoming a manager, or taking on a role that isn't pure data science (e. I wouldn’t expect pay raises or promotions solely because of the degree though. When it comes to data science, the market has folks who do a data science degree and try to find a job, so unless you get a degree / pg, it's extremely difficult to get an opening. It just seems that there's a crap ton^2 applicants. Most require masters and I'm puzzled by posts like these, especially in the context of data science. The 6 data science classes are: 1: Ethics in Data Science 2. Rules: - Comments should remain civil and courteous. I can't for the life of me find a job, anywhere, doing even basic data science. js and having moved into data science, I'd say that the job description for a swe is generally quite well defined with a clear career path. You got so much in that. Government funding/contracting for all kinds of things is starting to include large data science components. If you do not have a software engineering or stats background it might be hard to get a job even with a masters in data science. As someone who has been a machine learning engineer, a data scientist, and a computational linguist, I can say with some certainty that your skills, interests, and values are vastly more important than your title. 4, anyone who can provide value can easily find a job as a data scientist. - No facebook or social media Welcome to the Data Analysis Careers subreddit, a para-community of r/dataanalysis for all of your career-entry discussion! We’ve received feedback and have noticed that the monthly career-entry megathreads did not get the Completely agree. For people with a strong background in statistics/modelling, it's either aim for the few interesting data science positions left (but those are few, and not entry-level), or you are shit out of luck. Mega bonus points here if you can figure out a way to Data Science is an awesome career long-term, specially if you take in consideration the implementation of 5G and the Internet of Things. The base classes for the data science degree here at ASU includes 1 statistics class, calc 1-3, basic programming in Java, object oriented programming in Java and 6 data science classes. I also did multiple data science projects, focused on the entire data science pipeline, from data collection, cleaning, to model development (didn't do Get the Reddit app Scan this QR code to download the app now. As we've explored in this Many smaller and bigger data science communities could help improve our careers. Those roles are overwhelmingly management track Lastly, both pay good money. The insights and applications enabled by Do you like being a data scientist? I have the option to study two different courses, one is to become a Data Scientist Jr and the other one is the Google Project Management course. 5 in consulting) and I hold graduate degrees in mathematics and analytics. It requires a re-shift in perspective in order to see how data science consulting can be beneficial for your professional growth. All of these fantastic pretrained NLP and CV models are great and we use them in our work, but they make up a tiny piece of our work. - No 3rd party URL shorteners - Questions related to career entry go in the monthly Also, I feel that the data science field is so new that the career paths aren’t well defined yet. If I Coming to Data Science, it's a broad spectrum. And there are tons of fresher jobs for Data Science too but more of for Developers. - No facebook or social media links. I've been a data scientist for about 5 years now. Data analyst and data scientist are slightly different skillsets, and one doesn't necessarily flow into the other. I get it in fields where the work is 20% creative problem solving and 80% crunching through stuff, but in data science the work is 80% creative problem solving and 20% crunching through stuff. Stop meddling with the deeper AI (deep learning and stuff) for now. If anything, "specialist" is used in roles that may be a bit more diverse in duties than a typical analyst; or less technically-based. Yet some people find the need to run a survey on reddit that 15 people take part in. The main reason it's harder for internationals is that jobs have to sponsor you to work with them, which wouldn't be an issue for you. In recent times, there has been a lot of buzz around the abundance of job opportunities in the fields of AI, ML, and Data Science. For more info This has caused the supply of data science/statistician jobs to decline while the supply of interested applicants has never been higher (thanks to the current AI-craze). In some fields (humanities, economics) you are happy if you can get 1000 data points, in others (computational biology, experimental physics) you have to deal with experiments generating terabytes of data and you are generally comparing multiple experiments. Data science job title pays more. I don't plan to be a data science consultant in my entire career, but it would be a complete lie to say that data science consulting didn't provide me the environment to successfully succeed as a data scientist. So data science career plus some finance master on top of that is a solid choice? Reply reply More replies. I have been accepted into a MS Data Science program, and I’m not sure if Data Science is the best option for me. . We've actually begun switching from "data analyst" to "data specialist". Career in data science . The Weekly sticky post meant for any questions about getting started, studying, or transitioning into the data science field. project/product manager). A space for data science professionals to engage in discussions and debates on the subject of data science. g. Careers after data science Career Keen to know if there are any former data scientists here who are no longer data scientists. My primary motivation in doing so is to learn more data science from my work (previously data engineering, visualization, and now machine learning) and my peers. I mean there's tons of job level in that too, even for fresher. Yes! I took as many data science electives or CS electives I could. Or check it out in the app stores A space for data science professionals to engage in discussions and debates on the subject of data science. Having said all that, there are a crap ton of data science job posting. Once you get the first data science job, your work tenure and project outputs will help you grow your career. You don't even really need a bachelor's in data science. qhbhh umnl zophh gidqiy opyk ruyhfp izwxlz udrmu txjsve msitp