Reddit data scientist interview. Rules: - Comments should remain civil and courteous.

Reddit data scientist interview I know they ask SQL, you can see this real CVS SQL interview question (there's multiple parts to the question). It is basically that higher dimensionality isn't really better since some algorithms don't typically scale well to more dimensions. Please submit your resume to <email> and we can set up a call to discuss next steps. Or Hey all, I have to take the Hirevue video assessment for the entry level data scientist position. 05. It was 1 hour, and all questions were technical. What would be your course of action if your data goes missing? I dunno, restore from a backup? git log then git checkout? A high p-value means a value ≥ 0. window now in interviews," said John Challenger, CEO of executive search firm Challenger Gray & Christmas. I would recommend checking it out, I saw similar questions in all my real interviews. Please only post salaries/offers if you're including hard numbers, but feel free to use a throwaway account if you're concerned about anonymity. Our DS interview is SIGNIFICANTLY harder than our analyst interview for progex. Interview Questions Get the Reddit app Scan this DoorDash Data Scientist Case Study Interview . I quit at the right time and it all makes perfect sense now working in Data Science. I had considered Data Scientist, Analytics (FB position) kind of roles but I'm quite inclined towards Machine Learning (mathematics side). A space for data science professionals to engage in discussions and debates on the subject of data Hi everyone, I have an interview coming up for GS13 data scientist at the IRS. Meron pa nga na hiring for Data Analysis Engineer, Data Science engineer. Ability to compose pipelines for data science models. If you're looking for a comprehensive resource of commonly asked questions/topics, checkout the book Ace the Data Science Interview. reddit's new API changes kill third party apps that offer accessibility features, mod tools, and other features not Get the Reddit app Scan this QR code to download the app now. Scientist Interview. Interview Questions Most asked interview questions in the Initial Screen: How do lasso and ridge regression differ? Tell us how you would explain the working of a deep learning model to a business person. 3 /5 difficulty. 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. Data scientist IS just glorified data analyst. Interviews at Reddit. Same as 'Big Data', bunch of shitty marketing slur. There's a Sports Betting Interview (which seems like a math and probability heavy round) and a Critical Thinking Interview. (instead of always just going through a regular interview process) Attract potential cofounders for future ventures Most of This is my first data science interview so I don’t know what to expect. 14 votes, 47 comments. It was very senerio driven. Has anybody done this skillset yet, and if so how were the questions? Thank you! I was wondering if anyone who has done a Data Scientist(new grad) interview with Optiver or any similar trading firm has any advice for preparing for the technical round. No_Conversation_2474 . How many days after submitting the coding test, did you receive the video interview invite? I’m a full time insurtech data scientist for over a year, Get the Reddit app Scan this QR code to download the app now. So, dataframes are at the heart of what makes data science, well, data science. I was uneasy about it initially and by I am a freshly graduate student from a tier-3 university ( In India) with a Computer Science Engineering degree and I got placed at a start-up (now MNC) with a Data Scientist role ( Although my job will start from Jan, they delayed it citing the recession, it was a startup when I got the job but between the time aquisition happened and it got under an MNC) I am 34 and currently pursuing Data Science and Machine Learning course from Scaler. For the data science theory part, I basically memorized "An Introduction to Statistical Learning" (published by Springer) and was very strong. Besides that, general DS interview prep from a resource like Ace the Data Science Interview and doing the easy & medium difficulty questions in the book should more than cover your bases for CVS. Time to move on, usually a request for a full panel interview is communicated within a few hours to days following interview with hiring manager. 6 /5 difficulty. However, I have realised that their course curriculum is pretty bad. I've just gotten an invite from a recruiter for a 45 min interview for the above mentioned position. Should I expect standard leetcode medium questions or would it be a data science based interview? If you could share any information, that would be very helpful Hi everyone, I have an interview coming up for GS13 data scientist at the IRS. 'Data scientist' is such a bs term to be honest it gets on my nerve all the time. Microsoft Data Scientist Interview Tips. Currently, I am preparing for data science interviews. Contributed by candidates, vetted by current Reddit Data Scientists in 2024. Updated 22 Jun 2024. Experienced data scientists - video recorded interview ? I absolutely had no experience doing this - probably some of the experienced data scientists have done this before? (record you responding to prompts) for a Data Scientist role at a Big4 consulting company. ADMIN MOD Interview with case study, what to expect? Job Search Hi, I got an invitation to a second interview for a Data Analyst position. Your interview experience and job role will depend on the group/organization. Spotify Data Science Interview Questions. As you know, most data science positions are composed of 80% data cleaning and 20% modeling, visualization and communication. I came across the following questions during my interview for the data science position for 4-6 years experience as professional. I have my onsite for the same position 2 weeks from now. For instance, where I work General trade off in Europe is that salaries don’t grow as much as they do in the states. He asked about one of project, Deliveroo specific case study and few behavioural questions. Not so much how you'd code it up. Data structure and algorithms important for data scientist interviews . Started in Jan 2020 at $90k. My peers were doing the same stuff, with PhDs in Stats and other really cool fields. Not quite a platform, but I like Chapter 11 in Ace the Data Science Interview because it's all about case study interviews, You have 1000s of pdf documents. Hello everyone, I have called an interview for 2 days and there will be 3 person participated in interview (one is talent acquisition specialist, one is a Data Scientist, and another one is Director) What kind of questions should I expect and how to prepare it, please View community ranking In the Top 5% of largest communities on Reddit. Why do they need a data scientist, how can you add value? What areas do they see where Some of my favorite resources that I can vouch for: this Data Science Interview cheat sheet is a great way to get a survey of topics covered. Is there any use cases and carrer where I can combine both my work in math to that in data science. The first was a more in-depth technical assessment with another senior data scientist, the second was a problem-solving interview by a manager, and the third was a behavior assessment by another senior data scientist. Since I'm on a visa in US, I'm aiming to secure a job within next 2 months. Apple's Data Science team within SWE or Netflix's network monitoring group) will expect you to pass a easy/medium level LeetCode. Hi so i gotten an invite to do their 60 min hackerrank assignment. Wᴇʟᴄᴏᴍᴇ ᴛᴏ ʀ/SGExᴀᴍs – the largest community on reddit discussing education and student life in Singapore! SGExams is also more than a subreddit - we're a registered nonprofit that organises initiatives supporting students' academics, career guidance, mental health and holistic development, such as webinars and mentorship programmes. Members Online • Reddit's International Fire Alarm Technicians Sub Members Online. I was wondering if anyone could shed any insight into the interview process for this role specifically and what to revise/prep as I can’t find much online and imagine it’s quite different to software interviews. That's because DS is vague lol. Following are the details regarding the assessment: A concepts & knowledge test comprised of 16 multiple choice questions with 5 answer options each. Any tips on the questions they might ask? Also, is it quite likely this will be a technical interview? I'm really hoping to land this internship, any help would be appreciated! The second interview with a current data scientist was ~75% coding and 25% stats. A few highlights about me Very strong SQL skills, and I have done a large amount of data ETL Moderately strong Python skills I just got an interview request with SAP for a Data Scientist internship position. I am not sure what's going to be asked, and was hoping that if anyone here recently went through the same or similar process, they could share the details about the interview process and the kind of questions that were asked during the Interview Questions Most asked interview questions in the Initial Screen: View community ranking In the Top 5% of largest communities on Reddit. i didnt get offer. Sort. First, transitioning into Big Tech, people focus on "Tech" and forget "Big". This is an interesting question. Valheim; Genshin Impact; Microsoft Data Scientist Interview . Shipt Interview for Senior Data Scientist . And as soon as I answered, I faced rejection. Negative 0%. People complain about data a lot on this sub but it brings lots of challenges in building tools that will take care of this. For better access, the A complete set of recently asked Reddit Data Scientist interview questions. You can be honest about your skill set. I recently got an email from Snowflake to complete a HackerRank challenge for their Data Scientist-University Graduate A space for data science professionals to engage in discussions and debates on the subject of data science. Or I have a upcoming interview for data scientist role. Curse of Dimensionality: Just read THIS. The company went bankrupt 6 months after my interview with them. A space for data science professionals to engage in discussions and debates on the subject of data science. - Comments should remain civil and courteous. Understand the company and what drives them. Often in this role we deal with large amounts of data and manipulating and storing the data efficiently can greatly decrease the amount of time spent waiting on leetcode programming and data science questions. What I look for in candidates are people that are used to dealing with high levels of ambiguity, that can source their own projects, that have an owner's mindset and will do what it takes to get a project to the finish line (example, you took 3 days to manually label data I'm a former actuary, changing careers to become a data scientist that worked in a Business Intelligence department that started handing out the data scientist titles at a mid-size insurance company, and it wasn't pretty, there are a lot of horror stories. Reply reply yoloswaghashtag2 • 3 behavioral questions and 13 basic stats questions. Questions to be asked in a Data Science Interview Could you recommend what questions can one ask in a Data Analyst/Data Science Interview ? Related Topics Science Data science Computer science Applied science Information & communications technology Formal science Science Technology A space for data science professionals to engage in discussions and debates on the subject of data science. Is it necessary to grind leetcode for data scientist for top tech companies, banks, Fortune 500? as each company handles interviews differently and has different sets of needs for their data scientists. I wanted to know how the interview process will be if i get selected for the next round. Think supply chain, business management, etc. You should be able to build things in SQL too (tables, views, simple stored TL;DR I've got three options (Meta/FB data scientist L4, Doordash senior data scientist, Stripe data analyst L3) with similar pay scales and having a hard time choosing between them. 3. Valheim; Genshin Impact I recently got an email from Snowflake to complete a HackerRank skillset challenge for their Data Science intern position this summer. I'm a trained Mathematician first and also a data scientist second. In my experience interviewing companies, Data Science roles that work closely with SWE (e. ) Hi, I am currently 20 years old , incoming 2nd year college student, taking civil engineering course. Non-Technical Data Science Interview Questions . those documents will contain graphs, tabular data, pie charts, etc. I am not sure what's going to be asked, and was hoping that if anyone here recently went through the same or similar process, they could share the details about the interview process and the kind of questions that were asked during the View community ranking In the Top 1% of largest communities on Reddit. Of course I Hi, does anyone know how the data scientist interview process is at Boeing? After applying, a week later, I just received an email to complete a coding assignment. Related Topics Machine learning Computer science Information & communications technology Technology comments sorted by Best Top New Controversial Q&A Add a Comment. Reply reply King_2000 A recruiter at a startup I interview with, unprompted, said "having Google on your resume Lasted six months in a Data Scientist position at Apple before begging my old manager to take me back. Most of the complaints I see about data science master's on this sub makes it very clear that they have done almost no research into what a data science master actually is. I'm currently a Data Scientist at Amazon but unfortunately laid off. Answer question. Looking for a study partner to prepare for a Data Analyst. There were three SQL queries (basic to intermediate queries; one of them I had to use joins). - Do not post personal information. cross functional teams, embedded data scientist, data science team) What kind of projects have you worked on What is the scope of those projects (end-to-end, workshops, short projects). , and their pros and cons Data Wrangling – proficiency in handling imperfections in data. Be confident because sometimes companies are interviewing a candidate with more than just one position in mind. That being said, big professional services firms have countless resources to grow your skills and a wide array of opportunities to network with recognized data science leaders within and outside the firm. When this tech stack changed companies started calling the job title Data Scientist. Members Online Hackerrank for DS/Analyst/reporting positions Hey guys, just wanted to share an educational resource that I recently put out. Showcase you are a job-ready data scientist in Python. I still think the answer is finding an entry level Data Analyst Position instead of Data Science. IBM is huge! There are a lot of different teams hiring data scientists. I got lucky to be hired into a team that has some data science tools available to use and is actually interested in implementing good data practices — i don’t know if that’s the case across the government. Filter. Career Hey all, Thanks for all the comments for my previous question regarding the video interview. Or Microsoft Data Scientist Interview . I have worked as a data analyst for the past few years. I didn't actually run any code though, the interviewer just wrote a basic schema and then started asking me how I'd find certain metrics. The company got hooked on data science, and I became their first data scientist. I joined a consulting firm in NYC as a data scientist with a background in financial risk management (2. leetcode programming and data science questions. Remember the reddit self-promotion rule of thumb: ""For every 1 A space for data science professionals to engage in discussions and debates on the subject of data science. I see many Data Scientist at FAANG are only focused on product analytics (SQL, visualization, ETL) and most of Machine Learning work is done by Research Scientists. Magulo pa ang title, scope and responsibilities ng data professionals dito sa Pinas. NICET Level 1 Fire System study A space for data science professionals to engage in discussions and debates on the subject of data science. Reply reply Few-Counter-2693 I've gotten identical messages a few times, but I was intrigued when I got these two within 10 minutes from the same recruiter. (My user name is a play on Facts and Actuary. Let's start by looking at some of the The questions are going to vary based on both interview style, and the type of work the position is for. The platform has a fully executable IDE with datasets. For smaller companies/startups, as a DS you will usually do everything in a Data Science Certainly. I've Tiktok Data Scientist Intern 1st round interview Just recieved email from tiktok saying would like to schedule 1st round interview, and the team is performance ads team. How differently would you A space for data science professionals to engage in discussions and debates on the subject of data science. The recruiter communicated with me and gave me a Data Science Challenge. I had recently applied for the role of Data Scientist at Agoda. Company Question Has anyone here given the interviews for data scientist role at Microsoft, needed advice on how to prepare: is LeetCode required? No worries, no need to pay reddit for my answer :) I think especially in the more general interviews, they want to assess how you aproach a ML problem. From the information I have, I know there are 4 rounds - Would you be willing to share what the proccess was like. A position exclusively supporting a team of data scientists at a fortune 500 is going to be quite different from a startup making their first data hire, for example. Something to note is that the daily work of a DS will depend on the size of the company or data team. For data science, you'd probably go more in the direction of scikit-learn and all the stuff I don't know (transformers?). There is data scraping & cleaning, visualization, analytics and maybe AI for prediction. I don't really know what to expect from a data scientist job interview and I'd be interested to know what the likes of Google look for. So, as a data scientist how will you solve the problem? I did do a case study recently for the role of sr data scientist in aetna but the case was related to their pharmacy business. Many employers say x amount of hours because the creator of the assignment is speaking from a perspective of already understanding the data, the problem domain, setting up the dev environment, knowing what to do, and having pre-built I had an on-site interview at the Google campus about a year ago for a data science position. Meesho Data Science interview questions. Here are some notes: Google interview questions: This allowed model building to move from Excel to R and Python. Background: I come from a banking background as a technical business analyst (SQL, Python, light ML, some experimentation). "Going to an View community ranking In the Top 1% of largest communities on Reddit. Now, the business wants to have the graph extracted as it is in . Recruiters look for relevant skills, key technical competencies, and impactful experience. - Comments should remain There was also talk with the recruiter about a data scientist role within the similar group here that I may be a much better fit for. 4. 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. I kept many of the questions as is and re-wrote others while still testing the same concepts they would test for in interviews. They would give you different types of business senerios that require you to form an analytical approach. In this article, I outline what to expect at each stage along with The responsibilities of a data scientist at Reddit across roles can broadly be seen as- 1. The book Ace the Data Science Interview was written EXACTLY for the purpose you are describing, because while books like ESL/ISL are great for ML + Stats + theory, DS interviews cover coding + product/business sense + behavioral interview questions + SQL at the same time! But I'm a bit biased when recommending this resource since I wrote the book! /r/Statistics is (Context: this question came up to me during an interview for a data science job. Found 5 of over 360 interviews. Most people transition to Data Science from a similar pillar after many years of experience in their pillar plus multiple years doing some Data Science work before realizing they are. Join and Discuss evolving technology, new View community ranking In the Top 1% of largest communities on Reddit. Hello, there. The nature of our interviews is fairly simple - we have a brief phone call on theory and foundation of data analytics, and then have a couple of technical interviews focusing on programming and basic data analysis. Junior data engineer interview advice Rules: - Comments should remain civil and courteous. What are some good interview questions that an entry-level Data Scientist should be able to answer? I would probably mess up simple tidyverse syntax in a coding interview (with no prep) - All reddit-wide rules apply here. when I was preparing for interviews i used this website Pramp which matches you with another data scientist and gives you data science questions to use to interview each other. Let me know if interested. Are there any case prep guides or questions to help me prepare for the BCG X technical interview? If so, could you please point me to it? A space for data science professionals to engage in discussions and debates on the subject of data science. Technical/Skill Assessments: For data analyst roles, this may include a technical test or a take-home assignment to evaluate your proficiency in areas such as SQL, Python, data analysis, or business problem-solving. At my current company we actually do EDA/modeling interviews for data roles, but we try to keep the scope very focused, and overall the exercise takes 20m. JP Morgan Chase AI & Data Science Summer Associate Zoom Interview . A hr person reached me out via LinkedIn for a data science position in a startup there. Anyone knows if there would be live coding, or related to product case? Reddit Senior Data Scientist interview questions. Canva Graduate Data Scientist Interview Process Hey guys, I’ve just received the OA for the Graduate Data Scientist role at Canva in Sydney. Graphs will have legends, titles, colors, etc . So that’s why the interview process is like SWE A space for data science professionals to engage in discussions and debates on the subject of data science. Consisted of two rounds: behavioral followed by technical. My role was that of a big data engineer under the title. 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. This is a pretty large group, some of their data scientists work on high visibility projects which have direct impact to IBM clients. To make your application stand out, tailor your resume to highlight On point 2, I don’t think this is true at all. Facebook Data Scientist, Analytics Onsite Interview . ADMIN MOD Data science and machine learning interview questions Career Difficulty: 👶 easy 👩‍🎓 medium 🛠️ expert Important: don’t feel I went through it not too long ago for data scientist position and honestly, not sure if my interviewer was having a chill day, but the interview was one of the easiest technical interview I’ve done. for Product Data Science roles, I like Trustworthy With the recency of the experience, I wanted to take the time to share some insights about the data science interview process. 4 Reddit Data Scientist interview questions and 3 interview reviews. Data science is challenging as the needs change quickly. - No facebook Practicing these data scientist interview questions will help students looking for internships and professionals looking for jobs clear all of the technical interview stages. Didn't interview for data engineer, but interviewed for the SWE position. g. A little background: I have a BS in Applied Math, 5 years of experience working as software developer with 2. It's true that as a data scientist you don't need to know DSA to do your job properly, but I find that knowing it makes you a better data scientist. Interview experience. My student from China introduced me data science and so far, I am really loving it (I am a part time ESL teacher and he was a data scientist). The interview doesn't cover anything out of the ordinary for most analysts (not even data scientists), and focuses on basic data Very worth it. Will it be another coding interview with a recruiter or an interview thats just going to be technical and behavioral questions. Eg, one interview I had the guy didn't want to hire anyone and was annoyed that he had to interview people at all, looking for any reason to cut the interview short. A space for data science professionals to engage in discussions and debates on the subject of data So they have already seen your resume and they know what your hard skills are. 5M subscribers in the datascience community. An initial task they asked of applicants was to complete a case study. I imagine the future would be “insert word here” and science attached to the back end of it. Basta It might be possible. Interview Kickstart specializes in SDE interview prep, however they have a Data Scientist track. Data Science is a broad term. Recently, I heard back that I passed it, and now I have a virtual Power Day interview, which will have an interview about a Business Case, a Stats Role Play, a Technical Interview, and a Job Fit Interview. Taxes tend to be higher, but healthcare premiums are either zero or very low, job security is generally better, maternity leave exists, daycare costs in most of Europe are very low (not true in the UK), and 4+ weld paid vacation and completely paid sick leave are The problem with ML Engineer interviews is the they could be testing any or all of the fields software engineering, dev ops, ml ops, data science, data engineering. Build My Data Career. I am spending time brushing up on my knowledge, do you have any interview questions you wish you were better prepared for? When you’ve landed an interview for a data scientist position, one of the best ways to improve your chances of success is by preparing in advance with practice interview questions and answers. Company Question Has anyone here given the interviews for data scientist role at Microsoft, needed advice on how to prepare: is LeetCode required? I am done with the first round of interview for Senior Data Scientist Position ( L5) [ India] at Deliveroo 2 days ago and my total experience is about 5 years. I then was told that I made it to the final round of interviews and did three back-to-back interviews in a two-hour period. Members Online Engineers talk about coding "close to the metal". View community ranking In the Top 1% of largest communities on Reddit [D] Junior Data Scientist interview questions . Earn a Python Certification. Though, some companies are just outright toxic and it's not even worth asking why it was a no. Recently I've been looking to combine my research in both math and data science. Updated Oct 5, 2024. Today I received a mail regarding an online assessment which needs to be submitted by 18th of September. I interview specifically for Data Analyst and Scientist roles, because they are used interchangeably in some instances. Data science as such is getting broader day by day, but its impact on Finance and especially banks is unclear and the uncertain future. In this post, we have outlined the most frequently asked questions during the statistical and The main goal of this intuitive is to revise the basics of data science, be prepared for your next interview, and know the expected questions in a data science interview. HiringRemoteDataJobs • Additional comment actions. Just got an interview at CGI - Junior Data Scientist . Hope these help, and let me know if you have any questions at all! Easier Questions (foundational): Reddit seeks both technical and behavioral proficiency from its data scientist candidates. Discussion Hi as the title suggests I just finished the initial screening with the recruiter and will move on to the interview with the hiring manager next week. I’ll start: Google and Microsoft are well-known for their data science reputation and culture. The "An Introduction to Statistical Learning" and "The Elements of Statistical Learning" are the best resources to prepare for interview questions I know (let me know if you have a better resource/strategy for preparation). - Do not spam. CSCareerQuestions protests in solidarity with the developers who made third party reddit apps. Manager role because while I've managed off-shore personnel before, it's not a full suite of data scientist, but more so analysts. It is the science of data. Thank you. 50% Positive. I graduated with masters in Econ, and I am mostly experienced in research and data analysis and honestly dont know why I am in second stage but job description matches except for machine learning part. I’d suggest you ask some insightful questions. Sorry for late reply. The interview is a Karat assessment, but I am not sure what the live 60 minute coding session would be like. I remember someone mentioned this on the Super Data Science podcast and the host, who had been a consultant in the past was like “dude, what?” Data scientists have a great community and we share all sorts of things like the open source packages and experiences and tips. I collected 500+ python coding questions that relate to data science interviews. In my opinion as a Data Scientist I would say there are many other interesting projects to work on and Finance is not one of Some roles are basically software engineers who are focus on data. I have a coming interview on Friday with Shipt. the intervewer was nice and friendly. They’ve made popular open source data science packages, they host two of the three most popular cloud platforms, they own data science related companies (Kaggle and GitHub), and they always get the best data science talent. If they want to interview you for a data scientist position, let them. If I had to explain the syntax of my SQL queries to someone with the title "Data Scientist", I'd be worried about my company. Explain the meaning of the P-value. I have a 30 mins case study round with DoorDash for Sr. 1. I'm currently in the process of a career change (PhD in Science field) and now doing a Msc in Data analytics. This step is highly competitive and aims to assess your alignment with the role’s requirements. This thread alone is data. medium. Two promotions later I’m at $130k + bonus. The mail didn't mention the process or what the interview would be about- has anyone here gone through the process? If so, could you tell ‘Data scientist’ is a much-used and much-abused term and there are a lot of jobs out there falling under the ‘data science’ umbrella where research-based higher learning isn’t a requirement. Share. the interview went smoothly and they asked me about coding first and then behav questions. So you think it's prudent to prepare people for a substandard interview because you personally are not a fan of hard interview questions? I don't have an SWE position, I had a data analyst position (and currently conduct interviews for them). I am kind of stressed about this interview. Explore new experiment designs/techniques such as budget split experiments, switchback testing, small sample enhancements, Bayesian approaches, causal inference methodologies, dosage response studies, staggere Explore expert tips and strategies for tackling Reddit data scientist interview questions—ideal guidance for aspiring candidates, offering insights, and more. I got hired under the data scientist job ad that went out in 2021, but before the 1560 series was available. View community ranking In the Top 1% of largest communities on Reddit. I’ve read that they ask open ended case study questions to which the candidate needs to I am currently a Lead Data Scientist at a large defense contractor, primarily applying data science solutions to business-facing homerooms. View community ranking In the Top 5% of largest communities on Reddit. Interview questions [1] Question 1. I've never have thought in moving to Dubai, but doing some research I found out (at least in my research) that the salaries are pretty good in order of 37k -SWEs bg dudes treating data science projects as if it is same with software development -Dept of the field makes it impossible to keep track of new tools/methods -Self made data scientists who has no idea what they are doing and have no intention to learn the correct way bc they can use their softskills to impress/trick the management. I recently cleared the Karat assessment for the role of Senior Data Scientist at Walmart Global Tech and have a technical interview coming up. Machine Learning Engineering or Data Engineering roles have so far been 100% LeetCode tests - mostly all medium. ), why you'd rather choose questions like "how many moves do you need to get a Queen chess piece from this position to another on a chessboard" as a way of View community ranking In the Top 1% of largest communities on Reddit. The interview was pretty much BQ first round, resume/technical with hiring manager and the hiring manager liked my projects so I got the job. We logged into a shared browser program that had the option to write in Python, SQL, etc. Now I am unable to understand what would be the right approach to handle such questions. By thoroughly engaging in data A space for data science professionals to engage in discussions and debates on the subject of data science. Due to basically changing field completely. If they told you that they use R and want to change to Python, I can assume that they're wanting people for coding. The master's in data science vs master's in CS is a stupid debate that people have on here because a lot of people feel threatened or feel territorial. To filter interviews, Sign In or Register. Find interviews. I really want the job and I’m so nervous right now. I was super lucky. The interview will be 50mins long and conducted over MS Teams. I agree with the other messages here about the process being super simple compared to other companies. 100%. I greatly appreciate This is the official thread for sharing your current salaries (or recent offers). Hope this helps. Is there anyone on this sub who can tell me what to expect for the interview? I have interviewed with IBM before for SWE Apprenticeships, should I expect more of the same for this interview or should I be looking to research on other stuff. If you hear reddit talking about "income inequality" in the US, it mostly means software engineers and data scientists make more than Europeans. I'm concerned about the Sr. Or check it out in the app stores &nbsp; &nbsp; TOPICS. I just had to prep for an AWS interview which ended up going well, but it was a I am interviewing for a promotion from a Data Scientist into a Data Scientist with ML/AI expertise. Applied online. This means that the null hypothesis is likely to be true and that the data is like I am looking for feedback/experience of Interview Kickstart Data Scientist track. 5 yrs experience), an MBA, and fresh out of a data science boot camp. I am a Data Engineer but my tasks are for both DE and DA. Just pause for a second and think of the word Data Science. Valheim A space for data science professionals to engage in discussions and debates on the subject of data science. For the interview they want me to present a case study for which they have provided a csv, my question is what is expected of A space for data science professionals to engage in discussions and debates on the subject of data science. 0 due to recently discovered vulnerability. . What is your work mode (e. EDA/simple modeling coding interviews aren’t common in my experience for data roles, usually the coding interview is just some form of leet code. Facebook's interview was better. Data Scientist position. The job can be extremely Explore the top data science interview questions with answers for final-year students and professionals looking for jobs. Before this I hardly got any Resume Screen (1-2 Weeks) The first stage of the Google Data Scientist interview process is the resume screen. Knowledge of Machine Learning techniques, including decision tree learning, clustering, artificial neural networks, etc. That is awesome congratulations! I am interviewing for a Data Strategist Position and seems more like a cross between an engineer and scientist. Data Scientist Interview. No recruiter has reached out to me at all. I felt flustered by some zoom issues and in my Hey everyone! I've compiled a list of a few questions I have been asked in technical interviews. Search job titles. Gaming. They first taught us Data Analysis for almost one year (Python-Numpy, Pandas, Matplotlib and Seaborn), SQL, Tableau and Hypothesis testing and I don't think these skills are enough. When most interviewers say their take home assignment take x amount of hours, it’s safe to assume it actually takes 2x to 3x hours. The questions are going to vary based on both interview style, and the type of work the position is for. Get the Reddit app Scan this QR code to download the app now. Since my background is neither too coding heavy nor too I'm only data science adjacent, but recently flubbed some questions in an interview for a Data Strategist role at a conpany much larger than any I had previously worked for. - All reddit-wide rules apply here. Any advice will be helpful. The components of the process that led to my success, in no particular order, were: crafting my resume and LinkedIn, building skills and projects, staying motivated (during the pandemic), decoding the data science interview process, and determining my professional goals. If they I recently cleared the Karat assessment for the role of Senior Data Scientist at Walmart Global Tech and have a technical interview coming up. I've been very fortunate to get to this stage where I was able When you have a wealth of ways to distinguish competent Data Scientists from juniors during interview pipeline (complicated SQL, pandas, data munging, visualization, ML training, building simulation code, etc. This allowed model building to move from Excel to R and Python. So that's a two part answer. It's a very broad field, but when you are being interviewed the questions tend to be really specific. Before diving Get the Reddit app Scan this QR code to download the app now. See last year's Salary Sharing thread here. So many data science teams are more likely going to value those skills as the bare minimum requirement for any data science opportunity. It also helps to give a ballpark of their usual timeframe What are your responsibilities in those projects I have an upcoming interview at Walmart for the role of senior data scientist. Interviewers were extremely nice, but the technical question wasn't your standard leetcode question--it was a lot easier because they gave you some sort of abstract function and wanted you to use it to do something else. Here is how to prepare for your upcoming Reddit data scientist interview: Understand Reddit’s Culture and Mission. Oct 22, 2024. Data science is just the means with which I serve my clients as opposed to other consultants in fields like strategy. Also, they want to convert the information from graphs into tables. 5 years are in public sector (not fed). Interviews at Meesho. I finally got scheduled for my interview with IBM for the Junior Data Scientist Apprentice position. Anyone know what happens after? And how quick the process is? This is the Reddit community for EV owners and enthusiasts. Everything on the web and internet is data! Computer Science helped lay the ground work for Data Science. Data Scientist Interview in a Company from Dubai . You use statistic and probabilistic methods to analyze company data? Boom you're data scientist. Sharing a Data Scientist Interview Case Study. Not data science, but an adjacent field I work in that uses data: 1: I have a Robotics Processing Automation Engineer opportunity. Technical expertise with data models, data mining, and segmentation techniques. So great when you’re starting out. I went through it not too long ago for data scientist position and honestly, not sure if my interviewer was having a chill day, but the interview was one of the easiest technical interview I’ve done. I took some notes on the types of questions that they asked. Found 2 of over 399 interviews. If you plan to work in a corporate environment and you expect to get taken seriously as a data scientist, your SQL should be rock solid. There was also an unofficial one from two weeks ago here. - No facebook or social media Get the Reddit app Scan this QR code to download the app now. A few months ago I interviewed for a Data Scientist position at a large nonprofit. - No facebook or social media links. jpg formats. It was supposed to be technical interview but I did not find it to be much technical. Free interview details posted anonymously by Reddit interview candidates. I can recall there was a time that a company is hiring me for a Data Scientist role pero yung job description is for DE. Members Online For R users: Recommended upgrading your R version to 4. Helpful. Sometimes it's close to the business and you spend time finding insighs in the data to drive the business. This job description is referring to the Data and AI teams. Data scientists have to adapt to the need. I need to create and present a Data Report to 2 panels with a 2 hour interview What's funny For roles like data scientist, you will be asked to perform a series of SQL coding exercises to extract facts or insights from the given data and answer follow-up questions based on different scenarios, you can start working on this and for more insights, you can refer to this article (Apple Data Scientist Interview) it is a roadmap for a data scientist interview. How others got an interview. wbxrq ebd jqhvc zjftvk vhlbl xwfpeg ijlheyx vlujgd stuy eglmas