Senior Data Scientist - Ads Marketplace

San Francisco, CA

Who We Are

The marketplace team oversees the twitter ad auction, which serves billions of ad impressions and generates millions of dollars in revenue per day. Our goal is to generate the maximum value possible from our online auction by matching users with the most valuable and relevant ads. We design and implement new algorithms for ad selection and ranking (e.g. budget-aware allocation, conversion optimization, ranking and relevance improvements). We perform extensive experimentation, simulation, and large-scale log analysis to improve revenue, user experience, and advertiser return on investment.

Who You Are

As a Data Scientist you will have an opportunity to directly improve the quality and effectiveness of Twitter ads. You are passionate about understanding data and building algorithms and systems that work at scale. Team members have background in scalable data mining, relevance and ranking, machine learning, experimentation and measurement, statistics, and auction theory.

What You’ll Do

  • You will apply data mining, machine learning and/or graph analysis techniques for a variety of allocation, modeling, and relevance problems.

  • You will perform deep dive analyses to understand the behavior of our ad marketplace and online optimization algorithms.

  • You will use Map-Reduce frameworks such as Pig and Scalding, statistical software such as R, and scripting languages like Python and Ruby

  • You will write and interpret complex SQL queries for standard as well as ad hoc data mining purposes.

  • You will define metrics, understand A/B testing and statistical measurement of algorithm performance.

If this sounds like you, you probably have:

  • Experience with scripting languages like Python or Ruby etc.

  • Experience with statistical programming environments like R or Matlab

  • Experience in mapping business needs to engineering systems

  • Three or more years of industry experience

  • Experience with large datasets and map-reduce architectures like Hadoop and open source data mining and machine learning projects

Requirements

  • MS or PhD in computer science, data mining, machine learning, statistics, math, engineering, operations research, or other quantitative discipline

  • Fluent in one or more object oriented languages like Java, Scala, C#, C++

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.

Engineering Hiring Process

Step 1

Once your application is received, a recruiter will reach out pending your qualifications are a match for the role.

Step 2

If your background is a match, you may have 1-2 technical phone interviews or be given the chance to provide a work sample depending on the role.

Step 3

If the phone interviews go well or your work sample is strong, the final step includes interviews with 5-6 people held onsite in our office.

Application

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U.S. Equal Opportunity Employment Information  (Completion is Voluntary)

At Twitter, we have a bold aspiration to reach every person on the planet. We believe that goal is more attainable with a team that understands and represents different cultures and backgrounds and we are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not 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 legally protected status.

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