Data Scientist CCRi

CCRi is looking for smart, innovative data scientists with analytical and software engineering skills. We conduct research and development in data mining and machine learning techniques to solve complex problems and then implement scalable solutions in data-driven environments.

To us, practicing data science means applying three key skillsets to solve complex problems: data manipulation (cleaning, formatting, and transformation), data analysis, and software engineering. Qualified applicants will demonstrate strength in at least one of these skills, and aptitude and interest in all three. Data Scientists at CCRi spend a significant portion of their time implementing applications around our analytics.

In recent projects we have:

• Designed and implemented a streaming random forest model
• Applied deep learning to train semantic embedding models, and used these models to fuse multi-modal data
• Designed and implemented an open-source spatio-temporal adapter for distributed data stores
• Built threat prediction systems to predict the location of future asymmetric warfare attacks
• Implemented an analysis tool to harmonize unaligned datasets to support marketing intelligence teams

Requirements:

• Were open to entry level and experienced candidates with a solid technical foundation and a desire to continue learning
• Experience with some of the tools below is highly desirable in a candidate.

Tools we use:

• Statistical Computing: R, Num Py, Sci Py, Mathematica, Matlab
• Modern Programming:
  Java, C++, Python, Scala, or Ruby
• Traditional Databases:
  PostgreSQL, MySql, Oracle
• Cloud computing:
  Hadoop, Map-Reduce, Storm, Spark, Scalding, Hive
• Data Processing and Analytics:
  Graph analytics, natural language processing, image processing
• Bachelors Degree in a technical field
• Programming experience

Preference given to candidates with an active security clearance.

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