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Principal Data Science Engineer

Data Science/Analytics | San Francisco, CA | Full Time

Job Description

Tapjoy's Maximum Impact PlatformTM provides mobile engagement and monetization services for leading advertisers and app developers. Advertisers rely on Tapjoy's diverse suite of rewarded InterplayTM ads including video and rich media to impact performance. Developers utilize our technology and mobile expertise to acquire and monetize users. The Tapjoy SDK is currently embedded in over 15,000 mobile apps, reaching 520 million monthly active users. A 2016 comScoreTM study confirmed Tapjoy Interplay® ads deliver an unprecedented 3x lift across all brand metrics. The company works with Fortune 500 brands and the Top 200 grossing app developers. Founded in 2007, Tapjoy is a global organization with more than a dozen offices worldwide and is headquartered in San Francisco.

Tapjoy is backed by top-tier investors, including J.P. Morgan Asset Management, Rho Ventures, North Bridge Venture Partners, InterWest Partners and D.E. Shaw Ventures. Headquartered in San Francisco, the company also has offices in New York, Los Angeles, Chicago, Santa Barbara, Boston, London, Beijing, Shanghai, Seoul and Tokyo.


Position Title:                                                  Principal Data Science Engineer                   

Name of Employer:                                          Tapjoy, Inc.

Job Location:                                                  111 Sutter Street, FLR 12, San Francisco, CA 94104

Hours:                                                              Monday – Friday, 9:00 am to 5:00 pm


Job Summary

Build scalable personalized Ad-serving algorithm service API with data-scientists. Bridge the gap between big-data driven research and production ready engineering. Research and development to innovate mobile data driven approaches on top of Hadoop technical stacks.


Required Minimum Position Qualifications:   

A Master's degree in Computer Science or a related field of study and three years of experience in the job offered or in a related occupation. Employer will also accept a Bachelor's degree in Computer Science or a related field of study and five years of experience in the job offered or in a related occupation. Position also requires demonstrated experience with the following: Object Oriented Design (OOD); Software design patterns and principles; Development in a high volume data environment; SOA (service-oriented architecture) based development; various facets of machine learning and natural language processing, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling and ranking Contributions to research communities, e.g. ACL, SIGI, CIKM, and/or NIPS, etc.; Programming in one or more of the follow: Java, C++, or C#.

While we’re operating at tremendous scale, we still maintain a startup culture at Tapjoy with all of the casual, social, creative teammates you could desire, and encourage an entrepreneurial mindset where we drive innovation, continuous improvement and tremendous pride in our organization.

If you want to learn about building an amazing team with industry-leading technology, you want to surround yourself with brilliant, passionate entrepreneurial teammates at Tapjoy.

Tapjoy is an equal opportunity employer. We believe that diversity and inclusion lead to stronger, more innovative teams and better business results; we want to draw from the broadest talent pool possible and encourage qualified applicants. Tapjoy does not discriminate on the basis of sex, race, ethnicity, color, age, sexual orientation, gender (including identity and expression), disability (mental or physical), religion, national origin, citizenship, marital status, military or veteran status, or any other protected classification protected by applicable law; we will provide reasonable accommodations for qualified individuals with disabilities, and pursuant to applicable fair chance ordinances, we will consider for employment qualified applicants with arrest and conviction records.

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