Data Scientist

Responsibilities

We are looking to add a Data Scientist to our team of professionals.

 

What you'll do:

 

The Data Scientist will be 1nvolved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.

 

• Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.
• Handles processing and index requests against high-volume collections of data and high-velocity data streams.
• Has the ability to make discoveries in the world of big data.
• Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments.
• Has the ability to utilize advance tools and computational skills to interpret, connect, predict, and make discoveries in complex data and deliver recommendations for business and analytic decisions.
• Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C++).
• Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST.
• Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar.
• Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics. Experience with open-source textual processing such as Lucene, Sphinx, Nutch or Solr.
• Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc. Experience with machine learning, algorithm analysis, and data clustering.

 

Qualifications

 

Basic Qualifications:

• Bachelors degree with 2 years of experience, Masters degree with 0 years of experience or High School with a total of 6 years of experience
• Demonstrated experience with Programming in Python, R, SnowFlake, DataBricks
• Demonstrated experience manipulating dataframes through SQL, pandas, or tidyverse
• Experience with operating in SQL on big data
• Proactively addresses challenges and asks for help when needed
• Excellent communication skills
• Team player
• Ability to obtain/maintain a Public Trust clearance
• US citizenship is required

Preferred Qualifications

• Experience in web based application development
• Experience with Machine Learning on Big Data
• Experience in healthcare industry analytics and data, preferably Medicare or Medicaid

 

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Target Salary Range

$86,000 - $138,000. This represents the typical salary range for this position based on experience and other factors.