Data Science

Vor 5 Tagen

Berlin or Remote, Deutschland GlassDollar Vollzeit 40.000 € - 80.000 € pro Jahr


TL;DR

Join GlassDollar as a Data Science / Analytics Intern (f/m/x) and learn how to understand user value and ship tools that actually get used. From scraping real-time market data to building dashboards—you'll work hands-on with our venture and marketing teams to drive better decisions, faster.

What we´re looking for

Solid Python skills
You're confident in writing clean scripts and automating data flows.
Analytical thinking
You can connect dots, question data, and extract what actually matters.
Structured & fast
You can run with vague input and deliver real results—quickly.
(Preferable) Web scraping experience
You've built scrapers before and know your way around APIs, HTML, and anti-bot hurdles.
Interest in mastering new AI tools for data science
We don't wait for the "standard" tools to catch up. You'll get access to cutting-edge AI tools—and we'll help you master them.

What you`ll do
  • Scrape startup and market data from public sources and turn it into structured insights.
  • Build internal tools (mostly dashboards) with React that teams actually use.
  • Feed real-time data into reports on startup activity, VC trends, and more.
  • Work closely with Venture and Marketing—translate their needs into tools.
  • Push prototypes live. Fast. If it breaks, we fix it together.
  • See how your work impacts decisions—and get closer to the financial side of things.
We like people who take ownership. If you're the kind who doesn't wait to be told, we'll get along.
What you'll get
  • Gain exposure to the financial side of your work, so you can develop the mindset and skills to become an entrepreneur yourself.
  • Opportunity to transition into a full-time role with our startup after 6 months.
  • Compensation is competitive and will reflect your experience, skillset, and projects owned.


How we hire

Straightforward. Respectful of your time. No mystery steps.
  1. Intro call – quick chat to see if there's a match
  2. Technical task – a short task to see how you approach problems
  3. Deep dive – let's talk through your thinking and experience
  4. Offer – if it clicks, we don't wait around

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