Engineering Team Lead - Data Science Datadog
New York, NY

Job Description

About Datadog:

We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale-trillions of data points per day-providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.

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

Requirements:

* 6+ years of experience working in large scale data science environments
* 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