Netflix data scientist reddit 馃搷Remote job in 馃嚭馃嚫 United States I'm one of 3 guys on a small pilot project and I'm in charge of building our infrastructure, setting up our CI/CD, handling the data engineering, writing the code to pull our data from a secure location, designing the NLP functions, designing the recommendation systems, and designing the prototype web interface. And some use Mac for whatever reason. This also means that my mathematics is also quite strong but I’m by no means a statistician. Just wondering if I’ve got the skill set (or at least the foundations) to be a successful data scientist? Jan 23, 2025 路 Netflix is one of the world's leading entertainment services, with 283 million paid memberships in…See this and similar jobs on LinkedIn. Data scientists have to adapt to the need. Apr 19, 2025 路 The estimated total pay range for a Data Scientist at Netflix is $149K–$217K per year, which includes base salary and additional pay. Deciding which position to get referred at Netflix since it can only be one. Soooo a lot of the FAANGs aren’t hiring junior level roles right now. There's tons of room for technical data scientists imo. io official reddit community. io Posted by u/Tiranoxx - 1 vote and 1 comment Posted by u/EchoJobs - 1 vote and no comments 517 subscribers in the echojobs community. Dear Reddit Community, Seeking guidance on one hour Technical Screening for a senior Data Engineer role at Netflix. ) but intuition about when to use what techniques (data science intuition), as well as how it ties into the business/domain (domain and/or business intuition) is necessary for a true data scientist. Animals and Pets Anime Art Cars and Motor Vehicles Crafts and DIY Culture, Race, and Ethnicity Ethics and Philosophy Fashion Food and Drink History Hobbies Law Learning and Education Military Movies Music Place Podcasts and Streamers Politics Programming Reading, Writing, and Literature Religion and Spirituality Science Tabletop Games In the recent years data science was exploding, while now it's getting more saturated. Related Data engineering Engineering Computer science Sciences Applied science Information & communications technology Formal science Science Technology forward back r/technology Subreddit dedicated to the news and discussions about the creation and use of technology and its surrounding issues. This doesn’t mean I don’t have career aspirations. Since then I was searching various sources, (github, glassdoor, indeed and etc. I want to tell my story as an inspiration that; there are other related roles and industries that are easier to break into; as I did. Start with a Prep Course. added more details, remove (imho) useless or bad ones, and wrote solutions. Dec 1, 2023 路 1. Jan 2, 2025 路 Another expert in the field, Xinran Waibel, the Founder of Data Engineer Things and expert in Personalization Data Engineering at Netflix, generously shares her invaluable insights and experiences regarding the Netflix interview process for the role of data engineer. Remote. 1. I especially love the DS project arc! “Curious About How To Be A Data Scientist? Jan 3, 2024 路 Netflix L4 vs L5. View the base salary, stock, and bonus breakdowns for Netflix's total compensation packages. Title: Data scientist Tenure length: 1. Netflix from what I know pays the most out of all the FAANG companies. Post New Jobs Daily. Data Scientist (L4/5) - Product. Python Jobs post every day. io The median total compensation package for a L5 at Netflix is $504,500. I get that a PhD is counted towards work experience (and rightly so) but it's still very much different compared to modern data science where the required skillset is far broader and tends to cover things from prototyping to deployment. io/jobs It’s been 6 months since starting a data science management role, and now have been laid off. They use statistical analysis, machine learning, and data visualization techniques to interpret data and provide actionable insights for business decisions. Staff Data Scientist, Consumer. 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. Without these people data analyst, scientists will spend most of their time doing this themselves instead of analysing data and experimenting with models. Finding candidates that can pass the interview is very difficult. io Feb 13, 2025 路 Additionally, Netflix’s focus on leveraging data to inform content creation and acquisition decisions aligns with my passion for utilizing data-driven insights to drive business outcomes. Post every hour. The median yearly compensation in United States package totals $550K. 5 years Location: Ireland Salary: €65,500 Company/Industry: Tech Education: MSc in data science, PhD in computer science Prior Experience: n/a Relocation/Signing Bonus: n/a Stock and/or recurring bonuses: up to 10% bonus Total comp: €72,050 Feb 13, 2025 路 The term data science at Netflix encompasses a wide scope of fields and titles related to data science. That company is better than many at this but by no means perfect. I am wondering what the interviews are like? What kinda coding and concept questions are asked. 6K subscribers in the remoteworks community. Which isn't to say that I didn't do any interesting analysis, but it wasn't as interesting as I had hoped. Realistically, top talent does NOT have 9 years of COBOL experience but Netflix doesn't care. Posted by u/EchoJobs - 1 vote and no comments 1. Using processes such as data mining, predictive modeling, and machine learning, the data scientists at Netflix analyze historical data and identify patterns that can be used to predict future outcomes. The average Data Scientist base salary at Netflix is $179K per year. echojobs. It is competitive for new comers. Unfortunately not in a tech company. io 548 subscribers in the pythonjob community. Last name. However, if you'd like to become a manager of Data scientists, consulting could be a good path. View community ranking In the Top 1% of largest communities on Reddit. But anyways I’m a bit over 300k as a Sr DS at a big tech company, but that’s still slightly high for Sr at peer companies. Apple's Data Science team within SWE or Netflix's network monitoring group) will expect you to pass a easy/medium level LeetCode. Get app Get the Get the Reddit app Scan this QR code to download the app now. The concept of having a single platform for Data Scientists, Data Engineers and any other Data persona in the org is awesome. Coding Jobs. Sr data scientist title/2 levels above new hire is probably more translatable, but even then some variation. 9% of what I do. Working closely with our partners, we find opportunities to use machine learning and optimization techniques to improve the Netflix experience for millions of members around the world. We also have a very wide range of analysis types running from basic sql and pandas to spark based machine But eventually they decided that only data scientists could do any modeling. It's a bit different now, as there are already a lot of data scientists with 1-2 years tenure, with increasing trend. Data scientist needs some data engineering, some stats, some SWE, some DevOps, etc. Some use Linux, some use Windows. (This was a shock and huge learning curve for some of them. Fun fact: Netflix credits 80% of its user retention to its recommendation strategy that keeps viewers hooked onto the platform! Company: Netflix Location: Los Gatos, CA, United States 馃搷 Salary: 300K - 900K 馃挵 Date Posted: December 19, 2023 馃搮 Apply & Description 馃憠… 1. 569 subscribers in the pythonjob community. Mostly because I started out selling data science services to small companies and quickly realized that on average they needed a week of "data science" work and over a year of making the model actually work in the cloud, data collection + closing the loop, monitoring, alerting, performance and cost improvements, etc. 8K subscribers in the remoteworks community. I know people personally making close to $500k. Join to apply for the Data Scientist (L5) Data Scientist (L5) - Netflix Preview Club Data Scientist (L5) - Netflix Preview Club Reddit, Inc. Data Scientist (L5) - Netflix Preview Club Data Scientist (L5) - Netflix Preview Club Posted by u/EchoJobs - 1 vote and no comments If you hear reddit talking about "income inequality" in the US, it mostly means software engineers and data scientists make more than Europeans. Till now, I have mostly worked on projects from POC to market test / backtest. My friend is a data scientist at Netflix and told me his favorite programming language is SQL. We make the plumbing so the hot chick (Data science) can take a shower. Recruiter shared that this will be one hour session, split between SQL and Coding. Let’s explore key tips that will prepare you to impress and thrive in this competitive setting. io All of this is heuristics based on 1 individuals experience however we've had discussions amongst different data scientists on my team at work during lunch about this type of thing and generally we struggle to identify many ways a data scientist can add value to a company like Netflix outside of the things mentioned above being studies relating 603 subscribers in the pythonjob community. Applied scientists must meet both the SDE bar in the interview on top of the data science elements. Data analysts at data companies can do anything from mundane data entry and report-generation to inventing new ways of looking at data. 馃摲 Data Science at Netflix. The title data scientist comprises of roles and functions that span from product analytics-focused data scientists to data engineering and machine learning functions. Why data science and also its importance? data science or info driven science encourages much better dynamic, prescient evaluation, and also instance revelation. I never saw a new hire with a PhD come in at a grade level lower than senior data scientist. My background is in causal inference and I’ve published and been a research assistant for a few s Dec 13, 2023 路 Hey y'all, I recently got a call from Netflix for a Data Engineering Interview. It can also mean complex data that needs to be modeled in a scalable way. Machine Learning Engineering or Data Engineering roles have so far been 100% LeetCode tests - mostly all medium. . Windows is something I only use if there is no other (reasonable) way. Posted by u/EchoJobs - 1 vote and no comments 1 day ago 路 Data Scientist compensation in United States at Netflix ranges from $339K per year for L4 to $695K per year for L6. It seems like it's closer to how DVC handles it, which is to make a copy of the data in S3 for an experiment and keep the address to those objects in version control. Let’s start exploring Data Science at Netflix with a basic introduction to Netflix. A Data Scientist that uses existing advanced tools to discover meaning (inference) from data in an exploratory manner. Dec 15, 2023 路 Excelling in the Netflix Data Scientist interview requires more than just technical skills; it demands a strategic mindset and deep understanding of data's impact on business decisions. 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 have been working in data science in the retail industry for almost 3 years, the first 1. Netflix's recommendation algorithm is one of the most valuable pieces of IP in the world, and their database is incredibly intricate. We would like to show you a description here but the site won’t allow us. The lesson learned here is that more data doesn't mean more interesting data or analysis. It really depends on what team you’re on but I’ve seen data science work internally that touches everything from improved efficiency of text recognition in images for processing paperwork, causal analysis and improvements to clinical trials, and more traditional marketing Hey! Some posts on this subreddit recently left me wondering why so many people with PhDs think that's an easy pass for data science. 25 years as a data scientist. So basically a lot of A/B testing and regression analysis. Forget that the data scientists were still restricted to the same explainable modes already used. Apply to Machine Learning Engineer, Data Scientist, Data Science Manager and more! Animals and Pets Anime Art Cars and Motor Vehicles Crafts and DIY Culture, Race, and Ethnicity Ethics and Philosophy Fashion Food and Drink History Hobbies Law Learning and Education Military Movies Music Place Podcasts and Streamers Politics Programming Reading, Writing, and Literature Religion and Spirituality Science Tabletop Games Netflix L5 Data Engineer Tech Phone Screen. Mostly to uncover hidden insights, think "needle in a hay stack" type of work A Data Scientist, Analytics or Data Analyst that uses existing descriptive statistical techniques to figure out the story behind a given data set To learn more and apply for the job, please see Senior Data Scientist - Payments & Partnerships Part of this is because data science is shiny, and c-suite can BS all day about machine learning and AI, so a lot of times you get stunned leadership when the data scientist comes back and says ‘I need to spend 90% of my time cleaning the data and only 10% doing what I was trained to do, so those fancy ai things you’re selling the board on? I will say though Netflix DE's are the exception they are very good from my experience, but others like Stripe (though the data platform engineers there are similar too), Lyft, Airbnb and a lot of the second generation FAANG's have strong DE team members or no DE's only "data platform" engineers who are DE's in a a sense. In it, I interviewed 15 data scientists and 1 investor in data-centric companies about the what, how, and why of the practice of data science and learned from their stories, ideas, and forecasts about the future of data science. The big misconception about data science (IMO) is that the hard part is the analysis. Title: Data scientist Tenure length: 8 months Office Location: NYC Remote: 2 days remote per week, 3 days in office Salary: $150k Company/Industry: Advertising Education: Master's in data science, Bachelor's in a life science Prior Experience: Some analytical research in undergrad Internship: At my current company Co-op: 馃摡 Data Scientist (L5) - Member Product at 馃彚 NETFLIX. So if your goal is to eventually become a very senior data scientist, then consulting may not be your best bet. People complain about data a lot on this sub but it brings lots of challenges in building tools that will take care of this. Instead they are configuring networks and security roles, enhancing resiliency, and building tools and components for other engineers to access and query the data. Free interview details posted anonymously by Netflix interview candidates. We are looking for a versatile data scientist to come join us in our mission of elevating global storytelling with data 1. io/jobs 517 subscribers in the echojobs community. This morning, I got an email for a remote Data Scientist position with BAH. 10 Netflix Data Scientist jobs available on Indeed. What does big data entail you doing in that position? So, this has changed since I worked at three different big tech companies in that time. With data science in particular they often struggle to go from science projects to production and actual front line impact. io/jobs Posted by u/EchoJobs - 1 vote and no comments Data scientists apply sophisticated quantitative and computer science skills to both structure and analyze massive stores or continuous streams of unstructured data, with the intent to derive insights and prescribe action. I’m excited about the prospect of contributing to Netflix’s data engineering initiatives and addressing the evolving challenges in this dynamic field. For those, it is sometimes hard to make it. I had 5 years of experience of working as a data analytics consultant and data scientist before landing this job. Can you please share what difficulty level will it be? And resources to brush-up and practice similar I've been a data scientist for about 5 years now. Everyone knows how to use it, we can let jr devs work in prod immediately. It is called a data-driven organization. Sometimes it's close to the business and you spend time finding insighs in the data to drive the business. io The best Product Data Science Jobs Netflix. Salary went from £28k to £44k then £70k. g. Reply reply King_2000 On point 2, I don’t think this is true at all. Like if your title wasn’t “data scientist” then you’re an amateur and don’t know what you’re doing. Most people I worked with in the field were super intelligent with PhDs in STEM but just didn’t have a passion for clean code and designing a code base. Remote Software engineer jobs. Its also incredibly hard to do cutting edge ML without a proper team, at least at the scale that Netflix would want. The truth is data engineering isn’t sexy but is an absolute value add necessity for a business. Dec 12, 2022 路 Looking for some intel on the Netflix inference data science internet. Their net worth has continued to tank as well, mimicking their dropping subscriber-ship. The market is hot if you have desirable skills, doesn't necessarily have to be FAANG, lots of tech companies, startups and companies growing their tech like banking, retail, insurance. In both companies, new phds came in as senior data scientist whereas new masters holders came in as data scientists (usually) or associate data scientists (more rare). There are three primary functions - from most technical to most business oriented: You need at least 5 years of experience. Netflix initially started as a DVD rental service in 1998. In high tech companies like Netflix, a data engineer is no longer doing much ETL or writing data pipelines. £70k is definitely the higher end in terms of my experience, but it’s possible especially in finance. However data scientists are just people and they have different setups. It allows you: Discover the primary resource of a problem by asking the appropriate queries I have been reading here for a long time and wanted to ask you for tips for my further career development. " They also asked me to confirm my name and Posted by u/rrmdp - 1 vote and no comments When you're asked to focus on delivering results fast for a lot of different clients, you exercise a very different muscle. A good data scientist in a company is more often the guy who can make a good presentation on his linear regression model than the guy who ensembled statistical and machine learning methods to produce the highest accuracy model. Netflix is famous in using data science to predict the popularity of original content and make accurate movie recommendation. Get a technical degree or expertise in an area and tack data science on to that. If you wanted to update or delete previous data sets, would it be managed in S3 itself? As a version-controlled database, Dolt offers data set diffs and only stores the changes. Data Scientist (L5) - Content & Studio in Boydton r/netflix_jobs A chip A close button. The shortest point between learning the average data scientist's salary and getting hired as a data scientist would produce a dumpster fire that no one here would want to work with. ) for questionsit took me about a month but finally i cleaned all the data engineering questions, improved them (e. Coming from tech Netflix is known for paying VERY well. com. May 15, 2024 路 Career growth in Data Scientist role: Data scientists are able to avail many career growth opportunities within organizations, starting from entry-level positions through to senior roles such as lead data scientist, data science manager or even chief data officer. io Posted by u/rusakovic - 1 vote and no comments There isn’t a degree in data science last I checked so being a “real” data science just makes you sound a little pretentious. io Title: Exploitation Unveiled: How Technology Barons Exploit the Contributions of the Community Introduction: In the rapidly evolving landscape of technology, the contributions of engineers, scientists, and technologists play a pivotal role in driving innovation and progress [1]. Or check it out in the app stores Reddit offers a range of data science roles, from Data Scientist to Senior Data Scientist, Data Analyst, and Machine Learning Engineer. So there are a lot of inexperienced data scientists trying to break in. Plus, all the recent executive and management controversies at Netflix, on top of the membership sharing issue, Netflix is losing cash at a mile a minute. Salary: 馃挵$150,000 - $750,000. ” 6. Data Scientists Data scientists, on the other hand, analyze the data prepared by engineers to find patterns, insights, and make predictions. Full disclosure I’m in analytics not data science but I have some coding and ML skills so I work closely with them. Data science skills (like database techniques, using various data preproc tools, statistical techniques, etc. But overall I do have plenty of experience in working with data. The thing is most data science projects either aren’t true data science projects, don’t provide value to a company, or drain and waste resources. It’s a very hard role to fill. I narrowed down to my top 2: One is L5 and the other is L4, different titles but similar in scope and requirements. 25 years as a data science intern & later 1. If you are already established, you are in a better situation. For instance, say Netflix needs to hire someone with 9 years of COBOL experience (unrealistic). That's what is really important when I'm looking at new applicants. someone who just knows “Data Science” is pretty much useless for most companies. 9/10 your typical PhD in statistics data scientist will do a bad job because engineering is a completely different skillset compared to data scientist or analyst The secret here is Data Science. 7K subscribers in the MLjobs community. The role was sold as a data science manager, yet ended up doing admin work and touched on very small amounts of actual data science projects. Reddit, Inc. Posted by u/rusakovic - 1 vote and no comments Big ones like Accenture will contract their data science teams to you for huge costs, way more than 900k per year. It actually is working out very well for us. In my job I mainly deal with causal inference questions. A lot of pure coding data scientists can't grip physical constraints due to lack of technical knowledge. 568 subscribers in the pythonjob community. 1K subscribers in the remoteworks community. If you are completely new to the field, it’s best to start with an introductory prep course into data science. This might mean Netflix will miss out on much stronger overall candidates. Now we know that what is data science, lets see why data scientific research is necessary. Fuck FAANG, I’m real happy with my boutique data science job: explorative, flexible, open pathways to learn new things. More on echojobs. Data science is challenging as the needs change quickly. I recently started working as a Data Scientist/Data Analyst/Product Analyst in Germany. 6years is a good long time at FAANG any problem with There's a reason ~90% of data scientists have graduate degrees. Many Data Scientist roles are very similar to an Applied Scientist as well, depending on the team, but if you're going to have a job that has the AS job responsibilities You can find some Data Science / ML interview questions to practice here. Posted by u/rusakovic - 1 vote and no comments Got interested in data science in 3rd year of college, did a lot of MOOCs on Coursera and applied off-campus in 50+ companies to land a job in Amex. Join to apply for the Data Scientist, Ads role at Reddit, Inc. 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 see / scope out are pretty intense. So, today, in this article, we will discuss the same. First name. CSCareerQuestions protests in solidarity with the developers who made third party reddit apps. Data scientists are working in Python (and R or maybe Julia, but mostly Python) and some of us also in C++. I was upset about the role but my boss assured me there were “big things” in the pipeline. But like any big org your mileage will vary depending on the team you work with, their mandate and where they fit into the organisation’s strategy. My background is in Physics, so not directly computer science or data science. View more Data Scientist salary ranges with breakdowns by base, stock, and bonus amounts. Animals and Pets Anime Art Cars and Motor Vehicles Crafts and DIY Culture, Race, and Ethnicity Ethics and Philosophy Fashion Food and Drink History Hobbies Law Learning and Education Military Movies Music Place Podcasts and Streamers Politics Programming Reading, Writing, and Literature Religion and Spirituality Science Tabletop Games Hi Folks, Some time ago I published questions that were asked at Amazon that me and my friend prepared. Job title | Company | Location | Data Engineer (L5) | Netflix | Remote in California Feel free to check out more open positions in data-related… Usually it was either (a) sitting around waiting for data to process or (b) trying to pull data out of cold storage so I could query it. I have not had a chance to push the model into production. But many students jumped into data science courses, masters, bootcamps, because of the hype and high salaries. Posted by u/Beingfit9407 - No votes and 20 comments Dec 17, 2024 路 At Netflix, like in many organizations, creating and using metrics is often more complex than it should be. Clinical research is a branch of healthcare science that determines the safety and effectiveness (efficacy) of medications, devices, diagnostic products, and treatment regimens intended for human use. Even though we all would like to say that the ideal data science job is building models all day, thats not the reality of what drives business value. You can get good enough at that Some do data science for impact: applying for jobs focusing on climate change, environmental data science etc. The job description sounded legitimate and it said "We successfully reviewed your resume and it has been approved for an virtual screening test/interview by Booz Allen Hamilton Inc, for the position of Data Scientist (REMOTE). post software engineer jobs every hour. In the Payments Data Science & Engineering team, we provide guidance to the business not only through analysis, metrics research, experimentation, causal inference, and modeling, but also through exceptional judgment, partnership, and business acumen. io We would like to show you a description here but the site won’t allow us. 6K subscribers in the CodingJobs community. For additional resources, refer to the Netflix Data Engineer and Microsoft Data Engineer guides. Big data could be large event data that needs to be processed efficiently. My close friend works at Netflix and he referred me twice early in my career to join the company - I failed mostly on applied stats. 4. Delta Lake solves a lot of the inherent problems of a Data Lame, plus providing out of the box solutions for non-trivial issues like GDPR Right to be Forgotten. If you experienced that massive market value increase, it was probably because the lack of experienced data scientists in the recent years. My dream job is actually working at Spotify as a data scientist 馃檪, but I’m willing to give that up and stay at my less sexy data science job (in a bank), because they treat me well, pay me well and enable all the other things in my life I deem important. io/jobs I can tell you that my job with 120+ data scientists + data analysts on our team, we use jupyter on centos in prod. It will ONLY interview candidates with 9 or more years of COBOL experience. Email. As time goes by, the data scientists can also advance to be specialized roles or Posted by u/rrmdp - 1 vote and no comments These languages are inferior in data science / machine learning, and I wouldn't bother using a tool which is non-suitable for the task (or the task is non-suitable for data scientists). io Feb 26, 2025 路 Data is at the heart of our payment strategy and innovation at Netflix. Metric definitions are often scattered across various databases, documentation sites, and code repositories, making it difficult for analysts and data scientists to find reliable information quickly. Netflix uses Data Science to cater relevant and interesting recommendations to you. Interview with Microsoft was a very standard Data Scientist interview process consisting of coding round, ML theory round and Resume based round. You’ll learn a lot about the tools you’ll use, the industry, and what your day-to-day working life might be like. I like the math, the work, and the field itself, and feel good about my competency there. 548 subscribers in the pythonjob community. 2. At a high level I want to understand the topics covered and the degree of depth. United States Posted by u/datajoblist - No votes and no comments 548 subscribers in the pythonjob community. Get more jobs at https://echojobs. A place where redditors can post ML-related jobs, resumes, and career discussion. 5K subscribers in the CodingJobs community. Find more on echojobs. Of the FAANG, they all have offices except for Netflix and they all hire data scientists and ML Engineers. Oct 24, 2024 路 14 Netflix Data Scientist interview questions and 14 interview reviews. io In my experience interviewing companies, Data Science roles that work closely with SWE (e. I’d highly recommend networking to see if you can get in that way given even Meta/FB cancelled some or all of their internships for 2023, which means they don’t want entry level talent for the future. io A lot of posts and advice seem to focus on getting into DE after college, or transitioning into DE from an outside field. There's a few on there from Netflix. I want to share awesome insights from an awesome workshop conducted by Netflix data science team. ) That sounds more like your typical Applied Scientist than Data Scientist under Amazon's role guidelines (or research scientist, if you forgo the production code requirements). I am a data scientist and I use Linux for 99. Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. I am curious about what kind of employers they have. csxynyfsmycpqgpepwvriimnasivukmlzzfopyrwcxzaxgowcqvevqjjrkbxffa