Twitter is what’s happening and what people are talking about right now. For us, life’s not about a job, it’s about a 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:

Twitter is looking for a Quantitative Analyst / Data Scientist to join the Revenue Forecasting and Analytics team!

We are a team of financial analysts and data scientists that develop models and provide insight into Twitter's advertising business. We build prediction models for short and long-term revenue projections and regularly engage with senior management and stakeholders across the company to understand the drivers of revenue, and turn that understanding into predictive models that drive critical strategic decisions. We highly value statistical modeling approaches, but also recognize the limitations of this approach and balance traditional data science approaches with financial modeling practices and business expertise.

What you’ll do:

• Use predictive modeling and analytics to forecast Company’s revenue, identify growth opportunities, influence business partners, and drive effective decision making

• Spend much of your time programming, including model development and analytics projects using R (Python for some applications if desired) in addition to regularly using spreadsheets for analysis.

• Assist in developing appropriately sophisticated models for advertiser demand on timescales ranging from days to years using historical data, explicit manual input, key drivers, and seasonal trends.

• Develop strong collaborative relationships with key stakeholders in Sales, Finance and across the company, with a specific focus on our Data Science and Forecasting teams

• Partner with Product, Engineering and Operations teams to help resolve broader business problems, create revenue growth plans, establish financial and operating targets and determine optimal resource requirements

• Create and deliver impactful presentations that tell a story focused on insights, not just data

• Design, develop & deliver robust and scalable reporting

• Simplify complex problems & huge data sets, to extract non-obvious insights

• Be personable, approachable and able to connect with team members from a variety of backgrounds.

Who You Are:

• An expert in forecasting and predictive modeling, who enjoys solving complex and unstructured problems

• You love working on large datasets to generate knowledge on behaviors and trends and have diverse interests and skill sets covering data analysis, statistical modeling, business strategy, and data visualization!

• You excel at presenting sophisticated insights to both technical and non- technical partners.

• Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners

• Experience with advertising market (especially digital) a strong plus

Requirements:

• BS required, MS+ strongly preferred in Data Science, Engineering, Hard Sciences, Statistics, Applied Math, Financial Modeling, or other quantitative fields.

• 2+ years of work experience

• Superior modeling and analytics skills

• Experience with scripting languages (our primary modeling framework is built on R but if you’re an expert in Python, we will happily train you), SQL, and a shell.

• Possess a demonstrable grasp of Twitter and our business model

A few other things we value:

Diversity - Diversity makes us a better organization and team. We value a diverse set of backgrounds, ideas, and experiences.

Innovation - We value naturally inquisitive candidates who are interested in building new skills and will be excited by digital technologies.

Data-Driven - We aim to influence outcomes across Twitter with insights enabled by technology, analytics, and expertise.

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 status, genetic information, marital status or any other legally protected status. San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. All your information will be kept confidential according to EEO guidelines.