Works to transform large stores of data into business value by discovering, interpreting, and communicating data trends.  Collects and pre-processes data for analysis.  Applies data mining, statistical analysis, and modeling techniques to isolate and visualize patterns.  Presents results in a readily consumable manner for non-technical personnel. Resolves technical issues and creates documentation as needed.

JOB COMPLEXITY: 

Establishes and drives new and innovative solutions.  Provides strategic technical leadership.  Oversees management of multiple projects.  Takes responsibility for technical readiness of cross functional projects of the highest complexity.  Oversees data collection, statistical analysis, visualization, and modeling.  Works at a high level with other engineering teams to ensure project continuity and quality.  Develops new test methodologies.  Fosters positive working relationships with internal/external stakeholder and partner groups, including executive leaders and vendors.  Acts as primary point of contact for owned projects.  Creates industry-level technical documentation.  Leads presentations.  Develops curriculum for technical training and trains others on teaching the material.  Mentors lower level team members.

KNOWLEDGE/SKILLS/ABILITY: 

• Expert proficiency in statistical analysis, quantitative analytics, and optimization algorithms. 
• Excellent fluency with relational databases and SQL. 
• Solid R programming in addition to at least one of the following: Python, Java, C++.
• Comprehensive knowledge of Big Data technologies such as Hadoop, Map Reduce, and Hive. 
• Superior technical knowledge as well as demonstrated problem-solving, analytical, and troubleshooting abilities. 
• Expertise in several of the following: data visualization, statistics, data mining, modeling, programming, big data. 
• Consummate knowledge of Rackspace internal operations, structure, and systems with an aptitude for driving improvement in these areas. 
• Excellent knowledge of product development life cycle and the ability to develop new test methodologies. 
• Strategic knowledge of the hosting industry, an understanding of how related technologies are used in hosting and cloud, and an ability to determine where technologies fit within Rackspace. 
• Outstanding presentation skills.  Ability to develop training curriculum for a given domain and train others on how to teach the curriculum.

EXPERIENCE/EDUCATION: 

• Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field required.  Advanced degree preferred. 
• Must have 7+ years of industry experience in hands-on data analysis and software development with some management experience.

PHYSICAL DEMANDS:  General office environment.  May require long periods sitting and viewing a computer monitor.  Moderate levels of stress may occur at times.  No special physical demands required.

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