Intern in Data Science, Causal Inference

  • Internship
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The Summer Internship

At Discord, we provide a customized internship experience, aiming to replicate the real-work environment. We match competent interns with suitable projects and teams, influenced by their interests and skills, and fully integrate them into these teams for the summer.

 

The internships are paid and last for a minimum of 12 weeks, commencing in June 2024 to accommodate varying academic calendars. If conditions allow, our 2024 summer internships will be conducted remotely, with the chance to spend a week in the office at some point during the program.

 

The Team:

At Discord, the Machine Learning and Causal Inference Data Science team helps to shape product strategies, improve decision-making processes, and generate value for customers using advanced Machine Learning and Causal Inference techniques. We closely collaborate with key product domains across Discord, such as user experience, safety, revenue, ecosystem, and marketing.

Your Role:

  • Employing advanced causal inference techniques for deeper insights into users and the product.
  • Utilizing sound mathematical, statistical, and algorithmic principles along with innovative solutions to address challenging issues.
  • Cooperating with other data science, product, engineering, and business teams to ensure that the developed causal inference solutions are highly relevant and impactful.

You'll Excel In This Role If...

  • You're currently pursuing a MS/PhD in Statistics, Economics, Computer Science or a related technical field.
  • You have experience in at least one of the following Causal Inference areas:
    • Carrying out experimentation (A/B testing) at a large tech company.
    • Implementing and analyzing quasi-experimental methods.
    • Using non-experimental, observational methods (e.g., difference in difference, propensity score matching, regression discontinuity).
    • Applying advanced causal inference Machine Learning methods (e.g., Causal Forests, causal knn).
  • You have experience in writing or implementing code-based Causal Inference models/solutions as part of your coursework, personal projects, internships, competitions, or research.
  • You have proficient programming skills in Python and SQL.

Compensation of $77/hour (for Master's students) and $90/hour (for PhD students) *Note: This is as required by the NYC Pay Transparency Law and CO Disclosure (as required by sb19-085[8-5-20]).

Please note that the benefits listed below may vary depending on the terms of employment*

#LI-Hybrid

Benefits and Perks

  • Comprehensive medical coverage including health, dental, and vision (plus up to $20,000 for gender affirmation procedures)
  • Mental health resources and regular wellness stipends
  • 14+ paid holidays, 4 weeks of paid time off + unlimited sick days
  • Paid parental leave (including fertility, adoption, and other family planning benefits)
  • Flexible long-term work arrangements (remote and hybrid)
  • Volunteer leave
  • A variety of Employee Resource Groups
  • Commuter contributions and other benefits for office-based employees

About Us

Discord is a voice, video, and text application that facilitates friends and communities to come together, hang out, and explore their interests—from artists and activists, to study groups, sneaker enthusiasts, plant parents, and beyond. With 150 million monthly users across 19 million active communities, known as servers, Discord has evolved to become one of the most popular communication services globally. Discord was built without selling ads or user data and instead, offers a premium subscription service called Nitro that provides users with special perks such as higher quality streams and fun customizations.

We are working towards an inclusive world where no one feels marginalized, where authentic human connection is just a click, text chat, or voice call away. A place where everyone can find a sense of belonging. Is this challenging? Absolutely. Is it rewarding? You bet. It's a mission that allows us to positively influence millions of people worldwide. So if this resonates with you, come help us build belonging!