The successful candidate will possess a diverse range of data-focused skills and experience, both technical and analytical. They will have a strong desire and capability for problem solving, data analysis, analytical thinking, and experimentation, particularly geared toward Cloud environments.

Duties, Tasks & Responsibilities

• Designing and implementing innovative ways to analyze and exploit data holdings, with a particular focus on Cloud
• Supporting the collection of new data and the refinement of existing data for machine learning algorithms, and analyzing and interpreting the results
• Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques
• Integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating results
• Raising proactive inquiries based on observations and proposed data analysis/exploitation, researching and reporting on a wide variety of inquiries, and developing custom searches
• Leveraging technical skills to solve problems and improve analytic methodologies

Required Experience, Skills, & Technologies

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or other related discipline, OR 10 years of related technical development experience may be substituted for education
• Demonstrated expertise with IT and Cloud technologies, particularly Amazon Web Services (AWS)
• Demonstrated experience with multiple of the following technologies: Java, Elasticsearch, Hadoop, Python, SQL
• Demonstrated effectiveness in collecting information and accurately representing/visualizing it to non-technical third parties
• Demonstrated proficiency with a wide range of data query tools and technologies
• Demonstrated, hands-on technical experience with data visualization techniques and tools
• Strong, Cloud-focused, understanding of the latest security principles, techniques, and protocols

Desired Experience, Skills & Technologies

• Understanding of predictive modeling concepts and machine learning approaches, including clustering and classification techniques
• Experience developing algorithms and applying statistics concepts/techniques
• Experience with R