Sage-Tips

What is the hardest part of being a data scientist?

The hardest part of data science is not building an accurate model or obtaining good, clean data, but defining feasible problems and coming up with reasonable ways of measuring solutions.

Is data scientist a lonely job?

Data Science Is Siloed Most companies don’t need as many data scientists as software engineers. Other companies are hiring their first data scientist right now. For this reason, many data scientists end up working alone, even if they sit at the same table as developers.

What is hard in data science?

To gain expertise in Data Science, one needs to develop a good understanding of Mathematics, Statistics, Computer Programming, Visualization, Reporting, Business Understanding, Problem Solving, and Story Telling. All of this complexity causes Data Science to appear as a hard discipline of study.

What is the most complex part of data analysis?

Prescriptive analytics is, without doubt, the most complex type of analysis, involving algorithms, machine learning, statistical methods, and computational modeling procedures. Essentially, a prescriptive model considers all the possible decision patterns or pathways a company might take, and their likely outcomes.

What skills do you need to become a data scientist?

If you skim data science job descriptions you’ll immediately notice they’re littered with core software development skills. If you can build end-to-end projects you can also do more than build a model for Kaggle. You can take that model, productionize it, setup authorization and Stripe, then start charging users for access.

Do companies need more data scientists or software engineers?

Most companies don’t need as many data scientists as software engineers. Other companies are hiring their first data scientist right now. For this reason, many data scientists end up working alone, even if they sit at the same table as developers. This can make it difficult to get feedback and second opinions.

What is the difference between a data scientist and a security engineer?

Data scientists have specialized knowledge like statistics and an intuition for how models work. But DevOps and Security engineers have their own specialized knowledge as well. I’d argue that these are more common than different.

Is data science the Sexiest Job of the 21st century?

But while data science may be the sexiest job of the 21 century, that discounts another rewarding and highly paid profession, the software engineer. I often get messages from new grads and career changers asking me for advice on getting into data science. I tell them to become a software engineer instead.