r/datasciencecareers

Hey Everyone, right now I’m looking out for change in Data Scientist Role. I have 4+ years of experience in Data Science with strong skill set in Python, SQL, Data Visualisation, Machine learning Modelling, Deep Learning, A/B testing, LLMs, Gen AI, Agentic AI. Right now I’m working in PBC, I have applied in multiple companies still not getting any calls. Please help

Hey guys whats a better major for a data scientist and machine learning role? Is it to major in data scientis (with a minor in ml )
Or to major in applied math ( you learn to code on both of the majors and minor in ml)
The goal is to work both with ml, math and data science.
Both of the majors are stats heavy.

My background is in biology/ecology. After a PhD, I joined the industry building products around data, analytical pipelines and forecasting models.

I face several hurdles:

1. Academia never prepared me for the industry nor did I prepare myself as I had initially planned to pursue an academic career. After some years in the industry, I'm still playing catch up on some of the technical knowledge (for instance, industry standard programming languages, deeper knowledge in stats/ML/DL) compared to someone who went through a DS degree.

2. I have never felt confident in my stats knowledge, except the concepts I dived deep into for my PhD. I am not sure I quite enjoy working with data either.

3. Depending on the industry one joins, one can feel even more like lagging behind as you'd need the industry knowledge on top (e.g. economics). My case as well.

I still love answering questions through a scientific process or building tools! Basically enjoying the innovation process.

I feel a bit lost and unsure where I could fit. The more time passes, the more I feel I'm not as technically strong as someone who did studies focused on CS, stats or DS.

Anyone in a similar situation? What way forward did you find?

After my bachelors in Statistics I'll be pursuing a master's in Data science from one of the best research institutes in my country. I started this journey with the goal of enjoying my life as an sports data scientist, particularly football. The issue I am facing with that is, I live in a country that doesnt necessarily have the best football environment like england or spain. Any one of the more experienced guys who can guide me or atleast tell the ground reality of this field? Like do these guys get paid less in comparison as well? Thanks for reading :)

Im studying marketing but want to work as a data analyst. I dont know how o where to start; I understand the theory but i dont know how to get practical experiencie. Where can I go to learn? How do I know which projects to work on to learn? Please give me some advice

I'm building a selective student-led AI research lab focused on tackling ambitious problems in machine learning and artificial intelligence.

The goal is simple: build research that can compete at the highest level and develop projects suitable for submission to premier AI venues such as NeurIPS, ICML, ICLR, AAAI, JMLR, Nature Machine Intelligence, and Cell Press AI when they meet publication standards.

I'm currently conducting research with collaborators at Yale, Harvard, MIT, Stanford, and the Broad Institute, with one published paper and multiple research projects currently in progress.

We're looking for highly motivated students with strong coding and mathematical backgrounds who want to do real AI research, contribute to open-source projects, collaborate with other talented researchers, and gain experience writing publishable research.

If you're passionate about AI and want to be part of building something ambitious from the ground up

Apply Here: https://forms.gle/t8p4B3vSw22dEKeJ8

I am transitioning from civil engineering to data science. I'm 32 and fining it difficult to learn a new subject please suggest if you think my decision is correct as pe employment opportunities and placement companies perspective..

I know this might not be the corrcet way or platform of doing this but here I am. I(23M) recently graduated with a computer science degree. I have wasted all my 4 years of computer science degree and focused on nothing other than academics. Though I managed to secure a CGPA of 9.15, but I have no gained any actual skills used in real life data science jobs. Being from a very small village and having a family with business background, I never got the right guidance and opportunities. I always focused on academics and made my parents pround with my marks but in reality, it was the most useless thing...

I know this might sound like a regular post and mostly its gonna get ignored but currently I am looking for jobs related to data science. Being honest, though I don't have any skills right now, but I am a really fast learner and have a good mind for analysis. The on;y thing I am lacking is correct guidance and motivation... I am a quick learner and if anyone can help me with a job, I can guarantee you that I will complete my tasks perfectly and will never disappoint you.

I just want correct direction and motivation to live my interest for data science. Even a 15k-20k rs per month job will be enough for me if I get to learn anything in it. The money is just for my regular needs so that I don't be a burden on my family and if it's remote then 10k also would be enough. I am currently at my lowest so any help is appreciated.

Also, if this looks like a regular post to you, then I am really sorry for wasting your time...🙏

I’m considering to pick up data science after being in media and marketing. Please tell me, is it something very difficult to learn or something only certain people can hack into? Looking to shift my career path. Don’t ask me why I’m not considering Ai or alternatives, this is something that is just in my reach and feasible at the moment and I want to know if it’s worth committed to. I appreciate any feedback and advice, thanks!

Here is my project portfolio. i would like to know if I need to improve on my DS projects or if I am headed in the right direction as I look for an entry level job

www.johnkirima.com

Thanks.

Hi everyone,

I'm a Data Analyst with 1.5 years of experience, and I'll be starting an MSc in Data Science in the UK this September.

I've used a few AWS services before, and one of my master's modules is Large-Scale Data Engineering, so I'm considering the AWS Certified Data Engineer – Associate. My long-term goal is to become a Data Scientist.

Which certification would you recommend: Data Engineer Associate or Solutions Architect Associate? Which would be more valuable for my career?

Also, what are the best resources for preparation, and roughly how long does it take? I'm a fairly fast learner.

Thanks!

Hey Everyone. Looking for Data Scientist with 5-6 or more years of experience to take my mock interviews.

If you need I can do the same for you.

Please dm.

Genuinely want to know as I've gotten barely any and maybe once or twice but never heard back from them... I just want a good recruiter to be helpful and useful in giving the proper advice for the role. So yeah asking how do people get that attention - is it your LinkedIn profile? Projects? or just networking and if so how do I get in touch with a recruiter? Thanks

One-hour panel interview coming up for a contract Data Engineer/Scientist role on an AML transaction monitoring team at a bank. Panel is the hiring manager + 2 data scientists, single round, no second shot.

JD wants expert SQL/Python, query optimization and automation, data quality checks on Oracle/Azure, and some stats/data mining "to solve business problems" — though it reads more like a data engineering seat supporting a DS team than a modeling role.

My background: 6+ years as a data engineer in financial services, mostly AML/regulatory reporting pipelines. Strong SQL, comfortable Python for data wrangling, weaker on stats/ML since I've always sat on the engineering side.

Anyone interviewed with a DS-heavy panel as a DE? Curious whether they test stats fundamentals even for an engineering-leaning role just to see if you can keep up with the team, and whether coding rounds in this kind of setup lean more "query these tables for X" vs leetcode-style.

hi, I am in last year of BS computer science , took this because i was good in math and CS degree is half of math so it was easy to get through , but now i am pretty much confused , i find multiple domains interesting but i think i am not too good add coding , i can build a logic , understand it pretty much with a practical approach but when it comes to code it i go blank (lack of practice and more dependence on Claude ) , so the main point was i am confused between UIUX design (i am good at arts but haven't tried it yet looking for resources) , data science ( i assume its more adv and i need to have a great knowledge of ML,DLP,NN, models , training , optimizing , and cleaning), Data Analyst (a bit similar , like to use power bi , make dashboard , clean and analyze data ), ML engineer , data engineer but the point is i do not want to be a full stack developer because its just good for my mental health, will be hard to manage.

i want to earn a good amount , and want to add value to company , with a growth with time as i update my stack and gain more experience.

i am bit not ok with the tech stack to follow it would be great if you guys tell me which domain does what , what i have learn specifically , and how to practice for interview.

i have 1 year approximately to work on myself and to build myself strong enough to compete but i do not want to waste time exploring every stuff , i also haven't done Leetcode so guide me for that too please

thank you so much for your time and guide in advance

Hello, I hope everyone is doing well. To explain my situation:
I just finished the first year of a Data Science Master’s degree. Honestly, with all the hype we hear nowadays about AI taking over and automating entry-level Data Science jobs, I started wondering whether the path I chose is the right one or not.

Even though I studied Data Science with passion and ambition, passion will not pay the bills. So I chose to apply to other fields that are commonly seen as more AI-safe: networking, IoT, and cybersecurity.

I passed the interviews for both programs and got accepted, but I am still lost and do not know what to choose. NB: I like both fields. I am just asking whether people with or without experience could give me their POV.

I saw this open position at Stripe.

I was wondering what skills , tech stack, topics one needs to be good at to atleast qualify for an interview for such roles ?

I have almost 7yrs of experience as Servicenow developer. How can I make a switch into something like Data Science?

Is there anyone who is working at such a role who can give any inputs.