Clean Technology Meets Data Science: News and Articles

  Last time, we looked at the skills that someone from a clean technology background would need to acquire to become a full - fledged clean tech data scientist. Today, we’ll take a look at the other side of the balance - if you have a data science background, then how can your skills be applied in the clean technology sector?   Someone who is already a data scientist or is in the software field and looking to break into a clean technology industry or company has a very different problem from the clean tech specialist. To start with, your skills are most likely in algorithms, statistics and data engineering. That means that you can code, build prototype algorithms, build hardware/software interfaces if you’re in sensors or robotics and you know how to store and access data. You probably already have a PhD in physics or maths or another engineering domain or maybe a Masters in computer science.     So, the data science and engineering skills that the clean tech specialist would need to p

  We had a great time hosting our webinar on careers last month- a big thank you to all of you who signed up and attended and asked all those interesting questions! If you’re interested in getting the slides, they can now be downloaded for free   here .   And now, to continue with our series of posts on this topic.. What kind of careers can be built at the intersection of clean technology and data science? The figure above shows the sectors in both clean technology and data science.  The kind of career you want to build will really depend on which end of the balance you’re sitting on. Are you someone who comes from a clean technology background and wants to pick up data science skills? Or are you someone who has a strong data science/software background and are interested in applying those skills to problems in clean technology? This will also govern the skills you will need to pick up or expand on as you build your career. If you’re coming from a clean tech background, you’re probably