Statistician - AdKnowledge (Kansas City, MO)

Company Overview:

Adknowledge is a performance-based advertising network that utilizes powerful predictive technology to connect advertisers with consumers across multiple channels, including email, search, messaging, domain, and social networks. Over 50,000 advertisers use the Adknowledge ad network to promote their offers.

Adknowledge has developed patent-pending technologies that use predictive analytics to study consumer response patterns and display the most relevant advertisement possible per impression. The technology enables Adknowledge to deliver search-like quality for advertisers through non-search mediums.

Adknowledge has grown rapidly through the acquisition of Cubics, Mediarun, Lookery, Adonomics and MIVA Media, which includes the brand names Findwhat.com and Espotting. Adknowledge has been recognized by Red Herring and also by AlwaysOn Media as a Top 100 Private Companies award winner.

Founded in 2004, Adknowledge is a privately-held company with more than 180 employees throughout the world. Headquartered in Kansas City, Adknowledge has domestic offices in Los Angeles, San Francisco, Chicago, New York, and international offices in the United Kingdom and Australia. In 2006, the company received $48 million in funding from Technology Crossover (TCV) whose portfolio includes C|Net, eHarmony, Fandango, Expedia.com, iVillage, and Netflix.

Department/Team Overview

Focus

Adknowledge provides technology and services to publishers that enable them to deliver highly-targeted advertisements to their users. Adknowledge anonymously tracks behaviors on over 400M unique users. The data analytics team is responsible for managing a 10TB+ data warehouse that aggregates behavior data across a number of Adknowledge business units. The team creates statistical models and algorithms to recommend the right category of offer to a consumer at the right time to maximize response and conversion rates. Techniques include collaborative filters, clustering, and other recommendation systems. Data includes behavioral, geographic, demographic and social graph data.

Products and Technology

The company has a strong technology infrastructure, consisting wholly of proprietary code developed for the following functions:

• An advanced behavioral-targeting system running billions of calculations per day using consumer behaviors to predict what type of ad is most likely to trigger a response.
• An online pay-per-click marketplace located at www.bidsystem.com where advertisers purchase ads from Adknowledge.
• A proprietary API known as AdStation, which allows publishers to insert targeted advertisements from Adknowledge into their unsold ad inventory.

• 20+ terabytes of data housed in an open source, distributed data warehouse as well as Oracle, MySQL, and Netezza;
• The promise of cloud computing delivered in reality: extensive use of Hadoop on AWS for production analytics.
• 500+ Linux servers;
• LAMP based platform mixed with some C, C++, and Oracle
• A cloud running Hadoop, DHT, and other distributed services.

Adknowledge Analytics Department provides a central lab for statistical analysis, machine learning, and distributed computing, to service business needs throughout the rest of our company for targeted consumer advertising. We have a mission to deliver high quality, timely analysis, distill real business insights from large data sets, and provide scalable analytics which the rest of the company consumes on demand. In addition, we assist on studies, metrics, data visualization, system architecture, etc., in other areas of our business.

Position Overview:

Our Statisticians at Adknowledge are instrumental in driving analytic changes with large implication for our company’s revenue. The Statisticians primary duties consist of:

1. Development & Simulation: Design time-sensitive algorithms that engage advertising consumers with relevant behavior targeted technology in the online marketing industry. Design of experiments that compare alternate data groupings and methods. Analyze algorithms and data sets containing thousands of variables with billions of records.
2. Solutions: Employ a large variety of simulation techniques that will convert computer algorithms and create analytic products that interact with real-time ad delivery systems and campaign selection systems.
3. Troubleshoot: Analyze and troubleshoot our proprietary targeting system to ensure optimal revenue is attained.
   

Candidate Overview:

The successful candidate will be a vital addition to the team with at least:

• 2+ years in data mining, statistical analysis
• Expertise in statistical software (R, S-Plus, SAS or similar)
• Prior experience in on line advertising preferred
• Experience working with datasets containing at least millions of records.
• Non-academic SQL development with any DBMS, Oracle preferred

• Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real world challenges.
• Team Player: Work in a highly collaborative environment. This includes evaluating concepts, debating ideas, and helping others move projects forward.
• Detail oriented: accuracy and attention to detail is very important in this position.
• Analytical: Superior analytical and problem-solving skills with the ability to research and analyze data from a variety of sources.
• Pragmatic: The ability to translate theoretical results into business applications. This includes identifying and understanding the business need, formulating and evaluating possible solutions, completing the exploratory and predictive phases of analysis, and moving the recommended solution into production.

PhD in Mathematics, Statistics or Econometrics or any other mathematical field. Equivalent work experience along with a MS is also acceptable.

Compensation: Based on Experience

Apply Online

URL: www.datashaping.com/jobs18072x.shtml
Please mention datashaping.com when applying. Thank you.