Plume Design | Applied Data Scientist | Remote in Slovenia, Poland, Switzerland, Germany, France, UK, Sweden, Netherland
At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces and human experiences at massive scale.
We are looking for an Applied Data Scientist to lead our new initiative in algorithm development both in edge and cloud. Previous experience in developing algorithms/ML models in health/fitness/IoT data is desirable.
If Great Resignation is a thing, then what do people do after they resign? Assuming that they get hired by other companies, does that mean there is "Great Hiring" too?
> it took 2 years to become reliably able to read and evaluate a research paper well
This completely coincides with my experience. When I started grad school, it took me a few hours to read one paper, and I probably understood only 50% of the materials even though I had some foundations in the research area from my undergrad studies.
Reading textbooks is a great advice. Then one can start reading some review papers in the area to get some more depth in his/her knowledge. I think the difficulty is that it is hard to find good textbooks and review papers for the subject that one is interested in, especially when the subject is in a niche field.
Doing Phd for the sake of getting hired by specific companies/industries later is an extremely bad idea. Phd is for those who want to pursue research career (although it doesn't work out for more than 50% of Phd's). I myself did Phd and transitioned into data science, but I could have gone better way. Some reasons include:
- Getting Phd is a long, unpredictable process that can take anywhere 4~8 years. Data Science may be hot right now, but it is not necessarily true by the time you graduate.
- You will pay a ton of opportunity cost doing Phd. For the same amount of time, you can earn so much money and learn on the job.
- Phd doesn't give you the real world industry experiences. I know a lot of fellow doctors who are trying to transition to data science but struggling.
I would say you should polish your programming skills and get hired as a software engineer in big data related field. Then involve in some internal data science projects and transition into data science.
At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces and human experiences at massive scale.
We are looking for an Applied Data Scientist to lead our new initiative in algorithm development both in edge and cloud. Previous experience in developing algorithms/ML models in health/fitness/IoT data is desirable.
Please apply from here: https://www.plume.com/career-opportunities/6514916002 or send an email to [email protected]