Principal Scientist (Seattle, WA)

Do you have a proven track record of developing scientific/analytical insights to tough problems? Looking for a top-tier startup to utilize your experience with large data sets? Inrix is a venture-backed startup founded by former Microsoft executives that has raised $16M in funding from Bain Capital, Venrock Associates and August Capital.

Inrix addresses the need for real-time and predictive traffic information nationwide across a variety of platforms, devices and distribution channels. Their goal is to save time for individuals and businesses by providing them with critical, predictive traffic-related information. They accomplish this by literally predicting the future - using powerful and intelligent Bayesian statistical analysis models integrated with real-time traffic information and a variety of other variables to tell people not only what traffic is like right now, but also what traffic conditions will be like in the future - and how to best avoid the trouble spots.

Inrix provides this revolutionary traffic information industry through combining data from public DOT sensors, cellular phone probes, and Inrix' proprietary Smart Dust Network currently comprising more than 600,000 GPS-enabled probe vehicles and unique intellectual property exclusively licensed from Microsoft Research. Inrix's technology is live across 92 US metropolitan markets, and has put together many high profile customer/partners such as: BMW, Clear Channel, TeleAtlas, and many more. For more company info: (inrix.com)

The ideal candidate will possess a record of exceptional academic and professional achievement, demonstrated through scientific publications, patents and shipped products, and should be comfortable working with very large datasets in a commercial software development environment. The candidate should be as at home making presentations about Inrix technology in the presence of the senior technical staff of customers and partners, as they are with their sleeves rolled up performing hands-on data analysis and algorithm generation.

Responsibilities:

• Derive novel approaches to the creation of traffic information, with the goal of enhancing the quality and relevance of the traffic data that Inrix provides.
• Research methods to adapt and improve Inrix traffic prediction algorithms.
• Provide statistical analysis support for the business - provide statistical analysis that can drive business decisions around the value of different data sources and the impact of meeting customer requirements.
• Author patent applications and whitepapers to protect the intellectual property of the company, and to evangelize its technology publicly.

• PhD in Computer Science, Statistics, Physics, Operations Research or Mathematics, specializing in Data-Mining, Machine Learning or Statistics.
• 5+ years of experience applying scientific and analytical skills in a commercial software development environment
• Strong conceptual understanding of a range of current Data Mining technologies (Decision Trees, Neural Networks, Support Vector Machines, Hidden Markov Models etc.) .
• Algorithm design experience and familiarity with probabilistic Machine Learning methods.
• Strong foundation in Statistics, Sampling Methods and Experimental Design.
• Competence in the use of statistical techniques to rapidly come to conclusions, and empower business decisions about data.
• Experience with C++, MATLAB, C# and SQL, particularly Microsoft SQL Server 2005 and Analysis Services.
• Experience with large datasets (multiple terabytes) and real-time transaction data
• Important Attributes:
  • Strong written and verbal communication skills
  • Ability to quickly learn new technologies and tools
  • Creativity and design skills
  • Self-motivated and a team player

posted by: Paul Freed

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