Data Scientist, SMB
- Full-time
Company Description
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 SMB team is responsible for driving global initiatives for Twitter's self serve advertising and long tail business. The team utilizes a data-driven, analytical and programmatic approach to design and execute revenue programs that drive significant revenue growth.
Job Description
What you'll do
You will work closely with cross-functional leaders to lead seamless execution, analysis, and improvement of our global programs. Through analyzing large volumes of data both from Twitter users and Twitter advertisers, you’ll help Twitter grow revenue globally and in scale. We are partnering extensively with cross-functional teams across Sales, Marketing, Product and Engineering.
Qualifications
- BA/BS degree with a quantitative focus (computer science, mathematics, statistics, etc.), advanced degrees highly preferred.
- 1+ years of work experience in data-driven analytics/predictive analytics/statistical modeling/machine learning/data mining.
- Experience interacting with #BigData data sources, using a combination of SQL/NoSQL technologies: Pig/Hive/Map-Reduce/Scalding/Spark/Vertica
- Experience with at least one programming language such as Python, Java, Scala, C++.
- Knowledge of digital ad space or social media data is preferred.
Additional Information
Job opportunities should be equal. We don't discriminate. Period. In legal terms, that means: Twitter is an equal opportunity employer and doesn’t discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any other legally protected status.
San Francisco applicants: In response to the San Francisco Fair Chance Ordinance, we’d like to mention that we consider qualified applicants with arrest and conviction records.