Extreme Analytics Architect CarrierIQ

Overview

Carrier IQ seeks an Extreme Analytics Architect to lead the development of advanced, innovative analytics that mine actionable intelligence from massive wireless measurement datasets. The ideal candidate will have a strong background in analytics and a proven track record in innovative data mining/machine-learning solutions (for example, patents, and so on.) for very large datasets. An advanced degree in statistics, mathematics or applied physics, is required (Ph.D. desired).

The candidate should be an innovative, results-oriented technology leader who possesses the unique combination of advanced algorithm expertise and product development experience with a demonstrated ability to lead foundational research through to production delivery. Candidates from telecommunications, web-search/analytics, bio-informatics, oceanography, oil exploration, genomics and other fields that process multi-terabyte to petabyte class datasets using emerging NoSQL Big Data techniques will be seriously considered.

This is a high-profile, technical product leadership role reporting directly to the VP of Engineering.

Key Responsibilities

Collaborate with product management, professional services, and key technology stakeholders to spearhead the Carrier IQ advanced analytics vision, strategy and roadmap that will deliver high-value solutions to our customers
Work cross-organization to evolve and manage the Carrier IQ wireless KPI, measure and metric ontology to ensure that current and future device model capabilities are congruent with the advanced analytics requirements
Research and prototype implementations to support product investigations, trials, and technology advancements
Mentor a team of high-caliber wireless analytics experts from foundational advanced algorithm R&D through delivery of high-quality analytics products
Pursue patents to generate and protect analytics intellectual property
Interact and collaborate with customers and partners
Participate in strategic planning activities
Provide result-driven, innovative thought leadership

Job Requirements

Analytics expertise deep, hands-on practical experience with one or more, but not limited to, machine learning, statistical pattern analysis, predictive modeling, Bayesian inferencing, recommendation systems, data visualization, and so on for multi-terabyte datasets.
Advanced degree in statistics, mathematics, applied physics or similar technical discipline is ideal (Ph.D. desired)
Experience with commercial statistical packages such as R, S-Plus, SAS or Matlab/Mathematica
7+ years of innovative algorithm development experience
Desire to own and deliver solutions to tough technical requirements
Strong verbal and written communication skills
Experience implementing supercomputer-class, advanced data-processing algorithms on parallel architectures using modern programming languages such as Java, Python, and so on is a strong plus
Experience with wireless telecommunication protocols such as CDMA, GSM/GPRS, EDGE, UMTS, LTE, 802.11 is highly desired but not required
Experience with Agile software development is a plus

Location:	1200 Villa Street Mountain View, CA 94041 United States