Working in Sweden + Career in Data Science Q&A

[Music] hi everyone thank you very much for asking your questions on my community tab i will try to answer questions about living and working in sweden and how to get a career started in data science so let's go ahead ashley's asking how easy is it to move to sweden to work from a different country she lives in england but would love to move to sweden to work if she would move to sweden would she need to live there for a long time or could she quit a full-time job in less than a year so how does the working visa work also ashley thank you very much for complimenting my videos i really appreciate those it's um really dependent on what kind of job you have and what kind of profession you have as far as i know mostly for careers in i.t whether that's a programmer project manager software developer data scientist analyst data engineer it's fairly okay especially compared to other countries in european union where there are a bit harder government restrictions on moving to sweden you need to have for example a degree from a university to be able to apply for a working visa in sweden that's not the case so if you're a self-taught software developer you can move to sweden easier than for example to germany but if you're coming from different professions that are not in this it bubble unfortunately i can't provide this information i don't know myself and all i know from various people that i've met is that it's much harder to find here as a job if you are like a marketing specialist or maybe human resources specialist or pretty much things that are not in i.t are much harder for the question on how does the working visa work i'm going to link down below a website where you should check all this information it's called mingrajunswerket and it pretty much just outlines all the requirements for different visa types depending on which country you're from i don't know how is it now after brexit if you're from uk and how does the visa situation work please check out in migration but in my experience i'm not from eu i can give a little like brief information how it works i came here with already a secured working contract and i got a work permit for two years when i first came in sweden to sweden that's like a normal standard duration during this two years i had to work for the same employer and within the same role so i had to be a data scientist at king after two years i got an extension and in that case i still had to be a data scientist but i could change a company in which i'm for which i'm working and after those two more years after four years in total i could apply for permanent residency so then i could stop working and i could just live here but i can't move out of sweden otherwise i'm going to lose my permanent residency so after a year in this situation i wouldn't be able to just quit my job and live here but it may be different for you if you're from uk please check out the migration website simon hey hey nice to see you thank you for your content hey hey simon thank you for for your thank you i've recently moved to stockholm with my girlfriend and now it's time to look for a job for me i also work in i.t but not as data scientist or programmer i'm looking for a job as an application project manager consult consultant or requirement engineer i'm learning swedish every day but it will still take me quite some time to speak a fluently goal end of this year that's a really nice ambitious goal simon i really hope that works out for you um fingers crossed so for now i'm looking for a job where to speak english or at least in the beginning any tips in 100 websites companies in my experience in i.t predominantly companies are english first most companies have english as their like official language but of course people speak swedish within the offices if there are a lot of suites in those companies what i recommend is finding out which companies you are interested in and which companies offer the roles that you're applying for and checking out their website checking out their linkedin pages seeing what language they're conducting most of their communication in because that will give you an indication of how important swedish is for this specific company usually if a job requirement states that you should provide your cv in english that means that the company was probably will probably be speaking mostly english some of the companies that do speak predominantly english in the workplace that i can list are spotify king klorna tink a lot of gaming companies like rovio paradox interactive mojang ea and dice h dem i think speaks english probably companies like microsoft sap google as well have english as their predominantly predominant language in the workplace but it depends if you need to work with customers for example or if you work in sales you might have to speak swedish to be able to talk to customers in the nordic areas or maybe you even have to speak like norwegian or danish i don't know if swedish is a requirement for the robes definitely stay to your current swedish level and maybe say that your goal is to learn it as fast as you can that probably will give you benefit when you're applying for this kind of job good luck alias is asking me in russian i'm going to translate that in english and i at least if you're watching my channel i sort of assume that you understand what i'm saying in english but if you don't understand my answer please let me know in the comments and i'll try to briefly translate it to russian elias is saying that he's going to potentially study a master's degree in stockholm school of economics and he's interested in how students live in stockholm and how hard is it to find your first job after foreign or abroad studies in stockholm he would like to do data science but his background is not very technical and how good you need to know swedish when you're applying for a job for the swedish part i think i sort of answered in the previous question it's definitely an advantage if you know swedish there are definitely companies there you have zero where you can get a job without like any knowledge of swedish and you will not use it in any of your interactions during the day it really depends on the company to broaden your opportunities and the specter of the companies you can apply to definitely it's great if you learn swedish but it's not a must for how students live in stockholm honestly i can't really provide a good overview of that as i haven't studied in sweden i started um in france and i got my degree there and it was quite easy for me to get a job in stockholm even though i didn't live in sweden back then i probably was somewhat lucky that i applied for a company that provided me the relocation benefits it definitely was easier for me to find a job in sweden after my degree in france than a job in france just a little bit counter-intuitive maybe what can what i can say is that if you're studying in stockholm school of economics so if you're studying in sweden you're maybe for one two years you have to develop your network you need to go to career fairs learn about different companies that are offering internship opportunities or master thesis opportunities that you'll probably have to take in the second year of your master's degree and pretty much just do a lot of networking meet a lot of people try to build connections with different recruiters if they are maybe campus recruiters they might give you an internship first and then it will be definitely much easier for you to either stay in the same company for a full-time job or find a role in a different country a company already having this internship experience working in sweden next question is from emmanuel he is a new to the field after years being a manager at a few restaurants while teaching myself himself um he'd done a date analytics boot camp and now studying a technical degree in computer science nice your question is how do you think companies would consider me or people in my position for analytics role if i'm 32 thank you so much first of all legally your age shouldn't be a problem companies are legally not allowed to discriminate people based on their age race gender and other protected characteristics so that shouldn't be a problem from the legal perspective however it really depends on how you position yourself in the market and how you kind of structure your resume what you highlight what do you highlight in your cover letter how do you explain the career shift that you want to do from being a manager to being a entry-level data analyst or data scientist if you're having a degree in a technical field or computer science degree that's definitely a huge benefit because it kind of gives the explanation for you but still i would try to if i was on your place i would try to structure my cv so that it's clear what kind of benefits can i bring to the company that i'm applying to based on my previous experience so kind of maybe try to incorporate the people management skills or stakeholder management skills clearly within the cv and adding this technical background it might help you to kind of bring the whole image together and be a more desirable candidate for some roles compared to the other role compared to the other candidates it could be a challenge if you are not studying to kind of go into the junior roles junior data scientist or data analyst because very often companies tend to focus on recent graduates for those but yeah if you are a recent graduate maybe that won't be a problem next question hi nice to see you my name is jordan great fan of your channel thank you very much jordan you have a question about career track you just finished your master degree in data science and recently accepted an offer for junior data analysts in stockholm do you think it's a good start as a junior data analyst you feel like you might have undervalued my yourself there are two parts of this question so first of all the junior part of the role that probably you're referring to this is definitely a good start for the master's degree recent graduate especially if you haven't had a lot of previous experience or maybe not a lot of internships most of the companies would hire you as a junior data scientist or data analyst most of the companies look for kind of broader business understanding skills and stakeholder management and communication skills in regular positions of a data scientist that's not junior anymore so their assumption is probably that you will be learning those skills throughout your journey within the company and while you might get promoted within a year or two to a regular data analyst or data scientist role so don't worry for the title um depends though how much you're paid there is like a range of pay you can get as a junior data scientist or data analyst i'm going to link up their video that i've done on the data science page the second part of your question is though about a little discrepancy that i see here you say that you have a degree in data science however the role that you're talking about is data analyst and then it really depends on the kinds of responsibilities you will have as a junior data analyst whether they're meeting your expectations or not if your degree was mostly in technical machine learning statistics research-oriented data science then junior data analyst role probably will be more focused on data analysis talking to stakeholders working with project managers providing pretty much baseline analytical overview of a product or service that the company is offering if you're happy with that then that's great and definitely you're gonna get to learn a lot about how is it to work with data within a company but after some time maybe it will work for you to look for a different role that's more focused on something that you were interested in during your degree next question is from gustavo thank you for your content thank you very much for your comments you don't really have any questions but you're interested in tips about master degrees for pursuing data science i have a little comment on that you don't have to have a degree in data science to be a data scientist there are a lot of examples of different other degrees there are mathematics statistics or computer science heavy that are useful when you're applying for data science roles there are plenty of people coming from like physics background or industrial engineering background to just be data scientists work as data scientists the crucial part is that you cover the basis so statistics mathematics programming and some area of being able to do research oriented work derive insights from data and see where you can get the value to the product or to the company in that data next question is from nisa nissa thank you very much for a compliment um so you are interested in at what age or what you're in college would i recommend to start looking for interim jobs this is really interesting question and it kind of depends a lot on your situation whether you need to have a paid job to be able to pay for your tuition or not if you don't have to have a paid job i would recommend you focusing in the first few years and figuring out what you're interested in and what you like what kind of projects you're most excited about whether that's software development part of data science or statistics or analytics or hypothesis testing or machine learning just do as many things as you can to figure out what kind of drives you in this area i definitely recommend having a few internships under your belt before you're finishing your degree because that really helps with applying for a entry-level jobs and data science most likely in the last two years it's really good to have internships and also it really helps to have a master thesis in a nice company where you can see yourself staying in the future because that's one of the best ways to kind of ease it in in the um in the full-time job and full-time career when you're doing your master's thesis in a company that you're really interested in building connections networking within the company and then potentially getting an offer to stay there macram asks me what certificate or online courses and data science do i think are the best there are a few courses that i really liked um but i've never done a full like data science specialization because i did master's and then i went straight to the job and i learned a lot on the job the main thing that i think is important when you look at those courses is to see whether it's covering the basis that you need to work as a data scientist and that would be programming it has to have some level of sql because sql will probably be the programming language you use the most as a data scientist and then you can choose between python and r in most cases and most companies it's kind of interchangeable people can use both so it's good to have good deep knowledge of one of those languages and then some shallow understanding of how the other language works so they could use so that you could read other people's code and maybe reuse it for your projects the second area is math background for statistics so there goes your exploratory data analysis probability theory statistics hypothesis testing learn your distributions learn different statistical approaches like frequent tests or patient and learn how to reason around why in some cases you need one in other cases the other the third area is more of like machine learning focus mathematics and it could be computability um linear algebra discrete mathematics analyzing graphs so graph theory regression models and so on and the fourth area which i haven't seen been really taught in any of the courses is business acumen and understanding of the product understanding of the design theory working or understanding how would it go to work with different other people who work on building products how to collaborate with like data engineers product managers designers software developers this is the part that's really crucial that is kind of lacking from all the courses that i've seen and the one that will actually help you to get the job rather than the kind of pure knowledge of mathematics statistics and programming there are a few courses on coursera that are commonly quite known for data science so it's a data science specialization from john hopkins university covers a lot of the bases including cleaning and processing data understanding how to store data a little bit doing a capstone project i think some parts of machine learning some parts of statistics programming in r so that one potentially is a good one to kind of go through but i wouldn't say that if you get a specialization or a course certificate and you put it on your linkedin page it will be like a guarantee that you can get a job it's really important to be able to understand how to use all the things that you learn in those courses for the actual real world problems and projects that will arise in the business of the company that you're going to be working in so having those kind of side projects or non-profit contributions contributions to maybe some statistical packages for r or python and github or just doing your own interest kind of small project that you're really excited about is really important alongside the courses that you can learn from so when you're looking for a course focused on seeing whether it has programming mathematics more advanced mathematics maybe from machine learning and some idea of how to build machine learning models and maybe a part of like being able to collaborate with others on building projects or products and working together because that's also really important for your future work next question do data scientists use web applications custom-made ones or for example for visualization maybe a graphical user interfaces instead of common line great question actually i gives me an idea of how hard is it to understand what's the regular workflow of a data scientist working in a company definitely data scientists use a lot of web applications they're the ones that are provided like by bigger companies for yes as you mentioned data visualization like tableau or looker or data studio from google there are web applications to write queries in the browser instead of writing them in common line for example well i mostly worked with the google bigquery so that's the one i'm mostly familiar with but there are plenty of others there amazon products and apache products that you can also use as a web application and there are a lot of custom made web applications within bigger companies with like a bigger set of data scientists and more data maturity usually you want to build some things on your own because out-of-the-box solutions are not really tailored for your needs for example if you need to build like a significance calculator for your specific data for hypothesis testing if you run a lot of a b tests then you would build something in python or r or typescript or other languages that can be used in this company so you use it at work that's actually a really good point some data scientists or some data analysts that i work with are really interested in software development so they're really excited to build those applications and that can be a part of your job as a data scientist more than like doing research or analysis you can be focused on building a platform that analyzes a b test or building a nice platform for stakeholders to use and manipulate data that you have in a company in a visual way as a web application as well next question i really really really like from renata she asks so far what's the hardest obstacle i faced regarding my professional life and what would i say to all the young girls interested in sdm disciplines really really good question it made me reflect on kind of privilege and luck that i've had throughout my career because i realized that my biggest obstacle is actually my own self and my own mindset and i understand that for a lot of people that won't be the same just because they're in a much more challenging situation whether that's a lack of resources or lack of ability to access high education or whether that's working or living in a society where you're more restricted as a minority i've been quite lucky to be supported throughout my career by really nice people and have had very few interactions where i would feel discriminated so i understand that and definitely those are not the hardest obstacles that i've had throughout my career what i'd say is the hardest obstacle is my own mindset of doing things that are bringing value only that's really good approach usually when you work in the company because you are measured based on how much value you deliver to your stakeholders and to the company into the product but it's a very bad approach for your own learning and growth and both as a professional and just as a human being i guess i really like another youtuber simon gertz i hope i didn't mispronounce that she's a quinn of shitty robots and if you don't know her check her out she has a fantastic channel and she did a ted talk on why you should do or build useless things and i think this is amazing sentiment around how creativity and learning comes into our lives and how we can't be as creative or innovative if we don't cut ourselves slack and only focus on being productive or being like doing things that have high utility how does it become an obstacle for me i'm in data science career you have to constantly learn and develop really innovative and new solutions to the problems and it's really easy to get stuck in a situation where you're solving the problems in the same way just because that's how you know how to do it and that's how you know you'll do it the fast and most reliable way so you can live like bring value as soon as possible but it limits you from learning new things or discovering new areas or seeing new opportunities what i'm trying to do to kind of stop doing that is just like doing random things doing side projects figuring some of them are also still useful for me some can can be some completely not useful expanding my horizons like reading books that are not valuable for my career something that just drives creativity or sets me in the reflective or thinking mode maybe like hobbies that have nothing to do with data science because overall it improves my ability to think wider i'd say rather than focus on a more narrow being super efficient and bringing a lot of value there are other things like just learning a tool or programming language or working on some projects with people that could be really challenging due to external factors but external factors i discovered are usually the ones that you kind of know how to approach but when you have an internal blocker that doesn't help you to grow that's much harder to address because it requires reflection and taking time for yourself the advice that i would say to all young girls interested in technical disciplines is to first of all figure out whether that's for you whether that's really something you're interested in and not just because it's fancy and cool and well paid i mean definitely those are really important especially the pay and the ability to work from pretty much anywhere else it's a really good benefit of working in tech in tech roles especially but if you're just doing it for that i've seen a lot of people that burn out and feel unhappy at their jobs because they don't have the drive to learn and work on themselves extra in their profession so take your time figure out what you like in the different technical disciplines there are do a lot of different things try out mechanical engineering build a robot as the example of simon gertz or do some maps try to build a website try to analyze some data from somewhere try to visualize some data just like try out a lot of different things to see where you kind of catch that drive and interest in that's really important and the second advice that i really like to give to people that ask for my mentorship or support in learning towards data science that i think a lot of people try to learn first and implement that knowledge later and usually a really good idea is to learn by doing there are definitely some cases where you need the theoretical background to be able to start doing something but what gives you like the biggest drive and the biggest interest and when you have a problem that you want to solve first and then you're trying to solve that problem using the tools that you have like building i don't know an application or doing something that you're interested in because when you're learning by doing this is the easiest way to figure out what you need to learn to be able to complete the project or go to the next step and that's also a good example that shows how your work will be within the company so don't just try to do a whole course that takes half a year first and then think about how you can apply those learnings and this knowledge do something thank you very much for your questions i really appreciate all the nice comments that you left on my community tab i hope this was useful and this was interesting in general i'll try to answer all the relevant questions that i see under my videos but sometimes i just really don't know what to answer to this question or i think the question is very easily googlable and then why i don't see why i should be the person that would google that for you i'll try to answer all the questions that have like a really good um specific question with some background information so it's easier for me to understand where you're coming from and i can tailor my answer towards that i wanted to address another question that i received also in this community tab and under some of my videos that are really related to my personal life here i was asked when i'm planning to get married and i want to say that i want to build this boundary and i don't appreciate personal questions honestly this kind of question i wouldn't accept from my mom so definitely wouldn't accept that from a stranger on the internet i don't want to see questions about my personal life it's out of scope here on this channel i'm not going to talk about it and i'm going only to talk about my career and professional life i hope everyone accept those boundaries i think if we're respectful of each other's boundaries and are not prying on anyone's personal private life everyone's lives can be much nicer and better yeah but overall i'm really happy to receive all the nice comments where you say how my videos are useful really something that helps me to kind of go forward with making more of those so thank you very much and hope this was useful and have a nice day you

Channel: Anastasia K

Views: 10,657

Rating: 4.9710145 out of 5

Keywords: data science, anastasia kuznetsova, working in sweden, working in data science, data analytics, q&a, data science courses, advice for women in STEM, women in stem, work visa sweden, degree for data science, expats in sweden, junior data analyst, advice for data scientists

Id: V7KZ5m9EvDo

Length: 28min 59sec (1739 seconds)

Published: Thu Mar 18 2021