5 Simple Networking Steps to Get Your First Data Science Interview

(Even if you don’t have experience, hate small talk, or feel like you’re starting from scratch)

I used to think that in order to land my first data science interview, I needed:

• 10 internships in data science

• 2 PhDs from a top school

• 10 Kaggle gold medals

It was just not true…

Here’s what worked for me instead,

5 simple networking steps to land your first data science job:

1. Make your LinkedIn headline crystal clear

Say exactly what kind of role you’re looking for and what you’re good at.

Mine used to say: “Aspiring Data Scientist passionate about machine learning and storytelling with data.”

You want hiring managers to immediately know what you’re about.

2. Start sharing your learning in public

I didn’t have a portfolio—so I made one by writing posts about what I was learning.

Each post became a tiny signal: “Hey, I’m doing the work.”

It gave people something to comment on, message about, and remember me for.

3. Map your network: who can open a door?

I wrote out two lists:

• People who work in data roles (even if junior)

• People who know someone in data

  Then I started reaching out. Not with a résumé, but with curiosity: “Can I ask how you got your first DS role?”

4. Engage with the community (before asking for help)

I followed 10 data scientists I admired and started commenting on their posts daily.

No pitching. Just learning out loud, giving thoughtful replies, and building real connections.

When I did eventually ask for a referral, it didn’t feel weird—it felt earned.

5. Follow up (like your job depends on it—because it does)

I used to think following up was annoying.

But what I’ve learned? Most people want to help—you just have to stay on their radar.

Keep it kind, short, and clear. People are busy. Reminders help.

Until Next time,

Penelope