Data Scientist: ML, Analytics & Scalable Solutions

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 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.