Data Scientist, Advisor

    • Peraton
  • Fort Meade, MD
  • Posted 60+ days ago | Updated 11 hours ago

Overview

On Site
USD 146,000.00 - 234,000.00 per year
Full Time

Skills

Leadership
Nexus
Adobe AIR
SAFE
IC
Integrated circuit
Internal communications
Data processing
Visualization
Modeling
Drawing
Data Analysis
Storage
Operations research
Computer science
Science
Mathematics
Software development
Data structure
Data Science
Analytical skill
Algorithms
Data mining
Statistics
Machine Learning (ML)
Time series
Numerical analysis
Graph theory
Artificial intelligence
Workflow
Data management
Data modeling
Evaluation
Programming languages
Python
C
Data
DirectShow
DS
Software engineering
Security clearance
SCA
Insurance
Financing

Job Details

About Peraton
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.
Responsibilities

Peraton is seeking Data Scientist to support an Intel Community (IC) mission in Annapolis Junction, MD. Data Scientists employ a combination (2 or more) of the following skill areas:

Foundations: (Mathematical, Computational, Statistical)
Data Processing: (Data management and curation, data description and visualization, work flow and reproducibility)
Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
Responsibilities may include:

Devise strategies for extracting meaning and value from large datasets
Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and applications
Analytic modeling, statistical analysis and programming
Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings.
Translate practical mission needs and analytic questions related to large datasets into technical requirements and assist with drawing conclusions from data analysis
Communicate complex technical information to non-technical audiences
Recommend technical solutions by maintaining awareness of the constantly-shifting customer collection, processing, storage and analytic capabilities and limitations
Qualifications

Basic Qualifications:

An Associate's degree with 10 years of relevant experience OR a Bachelor's Degree with 12 years of relevant experience
Degree in Math, Applied Math, Statistics, Applied Statistics, MAchine Language, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Info Sys, Engineering, in the physical/hard sciences, or other science disciplines with a substantial computational component (typically 5 or more courses in advanced mathematics and/or CS (e.g., algorithms, programming, data structures, data mining, AI). Other degrees may be considered if accompanied by a Certificate in Data Scientist.
Relevant experience is considered:
Designing/implementing Machine Language (ML)
Data Science (DS)
advanced analytical algorithms
data mining, advanced statistical analysis (e.g. statistical foundations of ML, statistical approaches to missing data, time series),
advanced mathematical foundations ( e.g. numerical methods, graph theory)
AI, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity analysis)
Experience with programming languages (such as Python or C)
Experience as a Data Scientist (DS) or Software Engineer (SWE)
Active TS SCI security clearance with a current polygraph is required
Peraton offers enhanced benefits to employees working on this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap and participation in an attractive bonus plan.

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Target Salary Range

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

SCA / Union / Intern Rate or Range

EEO
An Equal Opportunity Employer including Disability/Veteran.

Our Values

Benefits
At Peraton, our benefits are designed to help keep you at your best beyond the work you do with us daily. We're fully committed to the growth of our employees. From fully comprehensive medical plans to tuition reimbursement, tuition assistance, and fertility treatment, we are there to support you all the way.

Paid Time-Off and Holidays
Retirement
Life & Disability Insurance
Career Development
Tuition Assistance and Student Loan Financing
Paid Parental Leave
Additional Benefits
Medical, Dental, & Vision Care
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.