Engineering Team Lead - Data Science

The company:
At Datadog, we’re on a mission to build the best monitoring platform in the world. We operate at high scale—trillions of data points per day—and high availability, providing always-on alerting, visualization, and tracing for our customers' infrastructure and applications around the globe.
The team:
Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. We need you to design and build machine learning-powered products that help our customers learn from their data and make better decisions in real-time.
The opportunity:
You will have a fantastic team of data engineers to support you, a collaborative environment to encourage your work, and the best technologies for performing data science at high scale in your toolkit.
You will:
  • Manage/mentor a small team of data scientists
  • Present the latest academic research papers to your team.
  • Research and benchmark the latest algorithms that can be used for our particular use-cases.
  • Apply machine learning algorithms and statistical techniques to build new product features.
  • Deploy a new feature to production, instantly affecting customers with your work.
  • Explore and find meaning in extremely high volumes of data.
  • Investigate and fix a production issue from a service your team owns.
  • 6+ years of experience working in large scale data science enviornments
  • 2+ leadership experience (team lead or manager)
  • You have significant experience applying machine learning to real business problems.
  • You have programming experience in one or more languages such as Python or Go
  • You have mastered working with data in a language such as Python, R, or Julia.
  • You are fluent with SQL / relational algebra.
  • You’ve done data science at high scale with tools like Hadoop and Spark.
  • You’re familiar with time series analysis.
  • You care about code simplicity and performance.
  • You have a BS/MS/PhD in a scientific field or equivalent experience.

Bonus points

  • You’ve written production data pipelines.

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