The SharpestMinds blog

We've seen hundreds of mentees through their job search. Here's some of what we've learned from that experience.

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Data Science
Mentorship
Job hunting

What’s happened to the data science job market in the past month

In March 2020, COVID-19 hit the world economy. Here's the effect it had on data science hirings, firings, and payscales.

How to get good at behavioral interviews

The kinds of questions you'll get asked during behavioral interviews, and how to think about answering them.

How to interview at consulting companies

How is interviewing at consulting companies different from interviewing at product companies?

Confidence intervals for time series data: SharpestMinds Slack chats

A Q&A about how to do a proper train / test split with time series data.

The hardest question you've been asked in a data science interview

Our mentors and mentees discussing the hardest questions they've ever been asked in their job interviews, and how to answer them.

The problem with data science job postings

Why data science job descriptions can be so inaccurate, and how to tell which postings you should apply to.

What no one will tell you about data science job applications

Understanding the hiring process from the inside, and what it means for your application.

Quality over quantity: building the perfect data science project

How to build a project that employers will actually care about.

Do you need a graduate degree for data science?

On the value of the PhD, the Master's, and when it's time to drop out.

The cold start problem: how to build your machine learning portfolio

Stories of personal data science projects that led to job offers.

Why you shouldn’t be a data science generalist

Tips on how to focus your skills development, and find the right kind of data science job.

To get hired as a data scientist, don’t follow the herd

Getting noticed in a world of unremarkable people.

The cold start problem: how to break into machine learning

Everything you need to know to become a machine learning engineer from scratch.

Why you need a professional data science mentor, and how to actually get one.

Announcing the launch of the SharpestMinds mentorship program!

The 4 fastest ways not to get hired as a data scientist

Common resume mistakes to avoid if you want to keep your application out of the "no" pile.

Quality over quantity: building the perfect data science project

How to build a project that employers will actually care about.

Do you need a graduate degree for data science?

On the value of the PhD, the Master's, and when it's time to drop out.

Why you shouldn’t be a data science generalist

Tips on how to focus your skills development, and find the right kind of data science job.

The cold start problem: how to break into machine learning

Everything you need to know to become a machine learning engineer from scratch.

The 4 fastest ways not to get hired as a data scientist

Common resume mistakes to avoid if you want to keep your application out of the "no" pile.

Confidence intervals for time series data: SharpestMinds Slack chats

A Q&A about how to do a proper train / test split with time series data.

The hardest question you've been asked in a data science interview

Our mentors and mentees discussing the hardest questions they've ever been asked in their job interviews, and how to answer them.

Why you need a professional data science mentor, and how to actually get one.

Announcing the launch of the SharpestMinds mentorship program!

What’s happened to the data science job market in the past month

In March 2020, COVID-19 hit the world economy. Here's the effect it had on data science hirings, firings, and payscales.

How to get good at behavioral interviews

The kinds of questions you'll get asked during behavioral interviews, and how to think about answering them.

How to interview at consulting companies

How is interviewing at consulting companies different from interviewing at product companies?

The problem with data science job postings

Why data science job descriptions can be so inaccurate, and how to tell which postings you should apply to.

What no one will tell you about data science job applications

Understanding the hiring process from the inside, and what it means for your application.

The cold start problem: how to build your machine learning portfolio

Stories of personal data science projects that led to job offers.

To get hired as a data scientist, don’t follow the herd

Getting noticed in a world of unremarkable people.