Senior Scientist - Click Forensics (Austin, TX)

We are looking for a Senior Scientist who can build predictive models to detect online fraud and measure traffic quality. We are looking for special talent that can help build the core intellectual property of our company. Become a leader in an already strong team of statisticians, data miners, and fraud specialists. You will be at the center of an exciting new company that is early in the market but already has a strong leadership position and is rapidly accelerating its dominance of the market. Click Forensics is the acknowledged leader in click fraud prevention and traffic quality management solutions for online advertisers, publishers and ad networks.

Job Responsibilities include:

• Build working models that can predict traffic quality in online advertising
• Analyze data to find patterns of click fraud
• Communicate complex statistical analysis techniques to both technical and non-technical audiences.
• Test efficacy of models
• Propose strategies based on research the broad spectrum of approaches to solving business problems
• Work in an agile development environment by continuously adding value to products

Experience:

• Ph. D in Machine Learning, Statistical or related fields is desired.
• Strong MS candidates will be considered as well.
• Significant industry experience (more than 5 years) in real world applications.
• Prefer to have worked on very large data sets
• Prefer to have exposure to online advertising data
• Prefer strong SQL skills
• Must have experience with open statistical computation software packages
• Prefer experience in programming of commercial products.
• Prefer a familiarity with anomaly detection and time series analysis.

Click Forensics is an exciting Austin startup well funded by Austin Ventures & Sierra Ventures. We create solutions used by online advertisers, publishers and ad networks to detect click fraud in their online pay per click campaigns. Austin is a fantastic city with a great culture, amazing cost of living, family friendly atmosphere, wonderful climate, first class restaurants, and a growing economy. Come join us.

Contact: e-mail resume to: peter.norwood [at] clickforensics.com (replace [at] with @)

Keywords: Web Analytics, Data Mining, Machine Learning, Scientist, SAS, Splus, SPSS, Clementine, Enterprise Miner, Scoring, Scorecards, Design of Experiments, Multivariate Analysis, Logistic Regression, Decision Trees, Predictive Modeling, Text Mining, Computer Science, Time Series, Forecasting, Search Intelligence, Online Advertising, Fraud Detection, Odds Ratio, SVM, Neural Networks, Artificial Intelligence, Operations Research, Statistical Modeling.

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