It takes powerful technology to connect our brands and partners with an audience of nearly 900 million. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world. Want in?
Yahoo brands comprise some of the premier destinations on the Internet -- Yahoo, Techcrunch, AOL, and more. This means that we rely on massively scalable, widely distributed, highly performant systems. If you want to help solve complex problems for systems like these, we are looking for you.
Yahoo's Analytics Research and Data team works on one of the biggest online advertising and audience data sets in the world. We are responsible for providing fast, clean, and relevant data for Yahoo’s consumer and advertising businesses as well as key measurements and insights about the users of Yahoo. We are developing next generation technologies to enrich our user and advertiser experiences through complex, scalable data platforms, with ever growing and interesting challenges.
The Revenue Assurance and Data Monitoring team is seeking a Sr. Data Engineer to build and operate smart anomaly detection alerts and dashboards on our Consumer Products (Homepage, Mail, News, Sports, Finance, etc.), and work with a wide variety of product teams to resolve critical revenue impacting issues, as well as conducting ad hoc analysis to understand complex marketplace trends.
Build, maintain and operate anomaly detection and monitoring tools in a public cloud (AWS or GCP) as well as on-prem Linux/HDFS environments. Most software development is backend, but some basic UI development is involved as well.
Conduct data investigations over a wide variety of ad platform data
Understand the marketplace trends and help answer revenue trends.
Work closely with product teams to identify metrics and determine optimal alerting thresholds and logic involving basic statistical methods and often more advanced machine learning methods as well as backtesting of historical issues.
Evolve alerting with feedback from stakeholders as well as issue detection effectiveness.
Investigate data and monitor data quality – partner closely with and provide requirements to the product teams that can be clearly acted upon.
BS/MS in a highly-quantitative field (Computer Science, Info Systems, Analytics, Mathematics). Statistical Analysis and Machine Learning coursework and experience is preferred.
Experience doing analysis across complex data sets, data exploration, data issue triage
Experience with programming and scripting language like Java, C++, Python, Perl, SQL and Unix or Linux systems
Experience with big data technologies like Hive, Hadoop, MapReduce, Spark, PIG and AWS.
Demonstrated use of web analytics, metrics, and benchmarking to drive decisions
Track record of proactively establishing and following through on commitments
Solid written and verbal communication skills
Excellent interpersonal, organizational, creative, and communications skills
Team player in driving growth results combined with a positive attitude
Strong work ethic and strong core values (honesty, integrity, creativity)
Problem solver who never stops thinking about ways to improve
Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.
Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements.
If you’re curious about how this factors into this role, please discuss with the recruiter.
Currently work for Yahoo? Please apply on our internal career site.