Architect and implement ad targeting models that use advanced statistical and machine learning techniques; develop and implement algorithms that work with large scale data for forecasting and optimizing return on display advertising spend.
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Architect and implement ad targeting models that use advanced statistical and machine learning techniques; develop and implement algorithms that work with large scale data for forecasting and optimizing return on display advertising spend.
Company: Efficient Frontier
Location: Sunnyvale, CA
Web: www.efrontier.com
Efficient Frontier is a leading digital performance marketing company managing search and display optimization for large-scale marketers around the globe. Founded in 2002, Efficient Frontier pioneered the application of modern portfolio theory to Search Engine Marketing. Today, the company combines its core predictive modeling algorithms and bidding technology with comprehensive, value-added services to manage more than $900 million in annual search spend globally. The largest and most sophisticated advertisers and agencies partner with Efficient Frontier to achieve and sustain optimal campaign performance and growth in highly complex and competitive marketplaces. The company is headquartered in Sunnyvale, California, with offices in New York, the United Kingdom, France, Germany, and India, and technology licensing partnerships in Japan, Hong Kong and Australia.
Efficient Frontier is looking for Senior Algorithms Engineer/ Senior Statistician with strong command of statistical modeling and machine learning concepts, along with experience in online advertising, to develop, and deploy large scale online ad targeting system.
Responsibilities
- Architect and implement ad targeting models that use advanced statistical and machine learning techniques
- Develop and implement algorithms that work with large scale data for forecasting and optimizing return on display advertising spend
- Build and deploy real time online ad targeting system that leverages these models and algorithms
Requirements
- Strong analytical quantitative and problem solving ability
- Must have solid understanding of statistical modeling/machine learning/ data mining/ recommender systems concepts demonstrated through work with real-world online advertising problems. Strong preference for candidates with experience in building systems for ad networks, DSPs and ad-exchanges
- Experience with architecting, building and deploying reliable algorithms-based ad optimization systems that work at scale
- Demonstrated ability to model and deal with very large, sparse datasets
- Command of C/C++, Python, R and Unix/Linux
- Knowledge of databases and their structure (Oracle, Postgres or MySQL)
- Excellent communication and relationship skills and a strong team player
- MS/PhD in CS, EE, operations research, statistics, physics or math desirable
Efficient Frontier is an equal opportunity employer.
_Contact_:
Please send your resume to
careers@efrontier.com.
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