Twitter is one largest and most popular websites in the world. Our code operates at massive scale and speed, serving billions of requests per day, connecting hundreds of millions of active Twitter users to real-time information about their lives and the world we live in. Engineering managers at Twitter provide the leadership needed to build technologies that flawlessly serve a billion tweets our users submit on a weekly basis. As Twitter evolves, we need managers to lead the engineering teams that make the world’s largest real-time system scalable and efficient.

Are you looking for an opportunity to help us grow the team, lead projects, mentor extremely thoughtful junior engineers, and take your skills to the next level while having a huge impact? Read on.

Who We Are: We are a team of data scientists that partner closely with engineering, product management, design, & research to drive Twitter ads products and modeling forward. We prioritize impact, routinely deliver material improvements to our revenue, and work across the entire Ad's ecosystem.

Who You Are: You are a data science manager with a strong background in data science and product thinking. You are principled and are looking to play a meaningful role at a very public company operating a multi-billion dollar business. You have a track record of growing and empowering data scientists to drive business value through product recommendations, opportunity sizing, experimentation, & modeling. You lead, manage and mentor contributors on your team. You’re skilled at presenting the results of technical work to executives, as well as proactively changing priorities and tactics for your team in response to strategic changes at the executive level.

• Establish the vision and mission of your DS team
• Be responsible for hiring and headcount planning
• Mentor the professional development of each direct report through personal and performance management.
• Give data scientists the tools, confidence, and motivation to make decisions independently that lead to business impact
• Facilitate the use of data and evangelize data-driven practices across that ads organization.
• Be responsible for the team’s technical strategy and roadmap – crafting success metrics in close collaboration with Engineering and Product Managers.

Preferred Qualifications:

• Previously managed a team of 3+ contributors and has 1+ years of management experience. Experience with building products, taking them to the market, and iterating and improving them over time.
• Previous experience as a data science individual contributor or manager of data scientists.
• Familiarity with basic fundamentals of probability theory, statistics, & experimentation
• BS in computer science, machine learning, statistics, mathematics, natural science, or related fields

Bonus Points:

• Past experience in ad tech
• Ph. D. or MS in computer science, mathematics, machine learning, or related quantitative field.

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status, or any other legally protected status.

San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment qualified applicants with arrest and conviction records.

All your information will be kept confidential according to EEO guidelines.