[Job] Data Scientist [CCRi]

Wolfram; Charlottesville (VA); On-site; USD 90,000 - 140,000; Full time

Job summary

CCRi seeks smart data scientists to tackle research and development in data mining and machine learning, translating results into scalable data-driven solutions. You will manipulate, analyze, and engineer data-driven software to support analytics across varied projects.

Recent work includes streaming models, deep learning for semantic embeddings, a spatio-temporal adapter, threat prediction systems, and tools to harmonize datasets for marketing intelligence teams. Entry to experienced welcome.

Qualifications

• Data manipulation, analysis, and software engineering are core skills.
• Candidates should show strength in at least one area and interest in all three.

Responsibilities

• Implement applications around our analytics.
• Design and implement a streaming random forest model.
• Apply deep learning to train semantic embedding models and fuse multi-modal data.
• Design and implement an open-source spatio-temporal adapter for distributed data stores.
• Build threat prediction systems to predict locations of future attacks.
• Create tools to harmonize unaligned datasets for marketing intelligence.

Skills

Data manipulation

Data analysis

Software engineering

Education

Bachelor's degree in a technical field

Tools

R

NumPy

SciPy

Mathematica

Matlab

Java

C++

Python

Scala

Ruby

PostgreSQL

MySQL

Oracle

Hadoop

Map-Reduce

Storm

Spark

Scalding

Hive

Graph analytics

Natural language processing

Image processing

Job description

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, NumPy, SciPy, 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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