Engineering Manager - Data Science at Discord
San Francisco, CA, US

iscord Secret Sauce recipe:

-3/4th of a cup of recommendation systems that allow our users to discover content they might enjoy

-2/3rds a cup of characterizing a healthy Discord server and learning how can we help more server owners build healthy communities

-1/2 a cup of developing applied machine learning models to tag voice sessions with poor voice quality in real time

-Pinch of sugar (it helps balance the acidity)

If you’re a master Data Scientist chef who wants to take a crack at this recipe and look through our expansive cookbook for more, we’d like to invite you into our massive, data-driven kitchen.

Discord is a small group of passionate gamers whose mission is to bring people together around games. Diversity and inclusiveness are a critical part of how we get there. We believe that with diversity comes a better product, better decisions, and a better work environment. Everyone here is committed to making Discord representative of the world we want to live and play in.

What you'll be doing

Leading and mentor our small but growing team of data scientists

Working closely with data scientists, engineers, product managers and marketers to develop algorithms that power key product features

Making Discord smart: Develop and productionize machine learning algorithms that help drive key features of Discord such as voice chat or content ranking

Applying advanced statistical techniques to rigorously model user behavior, identify causal impact and attribution, and build and benchmark key metrics

Designing, running, and analyzing A/B and multivariate hypothesis tests aimed at optimizing our models and/or parts of Discord

What you should have

BA/BS in Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields.

5+ years post-university work experience doing data science (preferably in the tech industry) and proven track record of team mentorship

3+ years experience designing algorithms that can be deployed at scale in production

Extensive experience in machine learning, data science and/or at least one statistics package such as SciPy, Pandas, SPSS, or TensorFlow

Thorough understanding of common statistical methods and applications—A/B testing, probability,and regression

Fluency in SQL and a programming language such as Python, Java, R, or Scala

Deep understanding of modern machine learning techniques and their mathematical underpinning, such as classification, recommendation systems and natural language processing

Awesome attitude and a healthy dose of natural curiosity. Questions have to be answered and our data isn't just going to analyze itself. (We're working on that.)

Bonus Points

A love of gaming and familiarity with the games industry.

MS/PhD in Math, Physics, Statistics, Data Science or other quantitative fields.

Direct management experience & proven track record of building data science teams

Experience with large data sets and distributed computing (Hive/Hadoop)

Familiarity with technologies such as Airflow, AWS Redshift, and/or BigQuery to build and optimize production data pipelines

Ability to work with dashboarding software such as Looker, or Google Analytics

Pro-level ability to synthesize and communicate complex concepts and analyses in simple, easy-to-understand ways

Toad mains in Mario Kart need not apply