US Internship: Data Science PhD level only
- Redwood City, CA
Alation continues to hire for roles at various locations with all interviewing and on-boarding done virtually due to COVID-19 crisis. Everyone new to the Alation team, along with our current workforce, will temporarily work from home until it is safe to return to our offices.
Alation pioneered the data catalog market and today is leading its evolution into a platform for a broad range of data intelligence solutions including data search & discovery, data governance, and digital transformation. Nearly 230 enterprises drive data culture, improve decision making, and realize business outcomes with Alation. For more information, visit https://www.alation.com/
Due to Covid-19, this will be a remote role for the 2021 Internship Program
As a data science intern at Alation, you'll mine insights from our data to optimize our operations, our product, and our impact on the worklife of data analysts/scientists like yourself.
Alation exists to help organizations make decisions based on data. Our customers range from Albertsons to Salesforce to PepsiCo to Pfizer and collectively they have many petabytes of data. Our product helps their employees—especially data analysts and data scientists—identify and understand the relevant data, so they can tease out the signal amid the noise and take action. You’re helping to build a better future for data people (like you!).
As part of our small analytics team, you’ll bring further quantification and scientific rigor to our organization. You’ll leverage our product to spend less time scrounging around for data and more time analyzing it (using the tools you’re familiar with). You’ll search for insights that lead to product improvement and facilitate your colleagues’ interactions with customers. In addition to executing particular analytics projects, you'll help drive a data culture throughout the company.
- currently pursuing a PhD in a hard or social science discipline
- incredible curiosity and pioneering spirit: you ask "why?" about everything and find yourself up late answering the Nth follow-up question. Maybe this is why you’ve been pursuing your PhD.
- strong stats skills: you don't have to Google random forest—but you might anyway to learn some nuances—see "curiosity", above
- data ambassador: you can take complicated concepts and explain them clearly to an intelligent but less technical audience, bridging business and technology. Your friends tell you, "now I get it!" after you've explained geeky concepts to them
- truth-seeker: you think https://xkcd.com/882/ is hilarious (and a bit sad). When you read science-news (as you often do) you find yourself coming up with confounds and alternative interpretations and hypotheses. You're always inventing experiments in your head (and sometimes even carrying them out)
- inclination toward impact: you love research but get even more excited when you can turn insight into action
Additional signals you might be a good fit:
- Coding/scripting experience
- A bit of SQL know-how
- R or Pandas skills
- Experience in applying research and/or project work to the real world
Potential projects include:
- clustering our users into buckets/personas (so we can better tailor how we serve them in-app and through support)
- optimizing how we spend time and money on marketing, customer site-visits, etc. based on past and predicted return-on-investment
- evaluating what aspects of the product result in stickiness and drive adoption and expansion
If our mission resonates with you, and you want to solve meaningful problems, have fun, and help build a company with a broad and positive impact, come join us.
To apply, please provide a resume and a cover letter (not too long) highlighting your interest in this role and what you would like to gain from an internship.
Our founders have come together from different backgrounds: business, engineering, and design. This unique mix from our founding team is important to the Alation culture story. Today, our team consists of creators and communicators with varied backgrounds - from Stanford, to the Indian Institute of Technology, big companies and one-person startups, the United States, and abroad. We continue to seek ever more diverse perspectives as we grow.
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