Twitter is what's happening and what people are talking about right now. For us, life's not about a job, it's about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we'll do what's right (not what's easy) to serve the public conversation.

Who We Are:

The team is responsible for placing each and every ad that Twitter serves. While placing those ads we decide how best to balance user experience, advertiser results, and Twitter revenue. Our team optimizes supply/demand, operation points and trade-offs for the ads marketplace, as well as improve product outcomes by applying data science.

What You’ll Do: We’re looking for a key individual contributor to drive our advertising products forward. We decide which ads to serve billions of times a day under a sub-second setting. You will ship new features and optimize existing products. You will perform rigorous analysis, understand our advertising products, experiment, make data-driven decisions, optimize for impact, and measure performance funnels. Your team will empower you with the autonomy to make good product decisions and discover/understand the software and product stack. You’ll own significant projects end-to-end. The small teams of talented, passionate people in which you’ll work will include engineers and data scientists from across the revenue engineering organization. We work on every high-priority ads project at Twitter.

If this sounds like it might be you, you probably:

• Apply your experience with statistics, machine learning, and data analysis to product design, implementation, and evaluation
• Are familiar with the Python data science stack
• Have experience managing a project and working with diverse stakeholders
• Clearly communicate your results to different audiences at appropriate levels 
• Are comfortable using diverse platforms, data stores, and analysis tools
• Have energy for learning new things, and for sharing what is learned
• Work creatively and collaboratively

You might also:

• Be familiar with Scala or SQL
• Have spent time in the Hadoop ecosystem (Hive, Presto, Spark)
• Have spent time in the Google Cloud Platform ecosystem
• Have experience using the Twitter APIs and Developer Platform

Requirements:

• 3+ years of analysis experience (commercial, scientific, or academic)