Forget Kaggle and stop completing projects that hundreds of other people have already done. Employers are looking for individuals that understand how to take an abstract question and translate it into a data-driven solution.
Start working with an industry stakeholder and on a question that adds value to a business.
The internships are remote part-time engagements. All the startups we work with understand that you have a busy life.
You can work during the day, mornings, evenings or weekends. It's up to you.
Add the internship to your resume. Share the projects you worked on and talk about them at networking events and job interviews.
Your startup partner will happily provide a professional reference if needed.
Gabriel Cypriano was a Fullstack Developer with the State of Espirito Santo in Brazil.
Gabriel interned with Parable Health, a NYC-based startup that helps reduce the cost and inconvenience of wound care.
Gabriel works as a Data Scientist with Creditas, a Sao Paulo-based startup that provides low interest loans to people in Brazil.
Tomas Espina was a Regional Sales Manager with Sterling Payment Technologies.
Tomas interned with a Purl Soho, a NYC-based retailer that sells high-quality supplies for sewing, knitting & embroidery.
Tomas works as a Senior Data Engineer with GE Aviation, an international aerospace company that builds engines for aircraft.
Sruthi Namburi was a Software Engineer with Verizon Wireless.
Sruthi interned with SalesDirector, a SF-based startup that provides AI-based sales forecasting and pipeline management.
Sruthi works as a Data Scientist with Clarity Insights, a national consultancy focused on data science and engineering.
Chris McLaughlin was a Project Engineer with Dewberry.
Chris interned with Havenly, a Denver-based startup that provides online interior design and home inspiration consulting.
Chris works as a Business Intelligence Analyst with Pinnacle Agriculture, a leader in AgTech and farm supply distribution.
You're able to commit 15+ hours per week over the next 3 months
You've completed a bootcamp, graduate certificate/degree or extensive self-studying via MOOCs and other resources
You've completed a few data science projects on your own
You're comfortable with Python and/or R
These aren’t strict requirements, but the more time you have spent learning and analyzing data on your own, the more likely you’ll be accepted.
