Data Scientist (2,3,4) Jobs

Responsibilities

Develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets. Prototype or consider several algorithms and decide upon final model based on suitable performance metrics. Build models or develop experiments to generate data when training or example datasets are unavailable. Generate reports and visualizations that summarize datasets and provide data-driven insights to customers. Partner with subject matter experts to translate manual data analysis into automated analytics. Implement prototype algorithms within production frameworks for integration into analyst workflows.

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. Experience with visual analytic tools and experience with entity extraction and machine learning, algorithm analysis, and data clustering.

Qualifications

Basic Qualifications:

• Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count
• Experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application oflinear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
• Active TS SCI security clearance with a current polygraph is required

Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

Level 2:

Bachelor's Degree with 3 years of relevant experience

Associates degree with 5 years of relevant experience

Level 3:

Bachelor's Degree with 10 years of relevant experience

Associates degree with 12 years of relevant experience

Level 4:

Bachelor's Degree with 15 years of relevant experience

Associates degree with 17 years of relevant experience

Peraton Overview

Peraton 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 and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Every day, our employees do the can't be done, solving the most daunting challenges facing our customers.

Target Salary Range

$146,000 - $234,000. This represents the typical salary range for this position based on experience and other factors.

EEO Tagline (Text Only)

An Equal Opportunity Employer including Disability/Veteran.