Data Scientist

Responsibilities

Peraton is seeking a Data Scientist to support their operations in Raleigh, NC. This is an on-site position with no telecommute possibilities. In today’s economy, our customer must respond faster than ever before; and we have to base that response on insights from data analytics modeling instead of “years of experience” or historical reporting. The Data Science and Exploration group will provide the organization with future-oriented analyses that can be used to help drive changes and improvements in business practices. By employing analytical techniques, applied to research data, which go beyond simply describing the data we will be able to explore the hidden relationships and patterns within the data.

 

The selected candidate will have experience using a variety of data mining/data analysis methods and tools, building and implementing models, using/creating algorithms, and creating/running simulations. The ideal candidate will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have an ability to drive business results with their data-based insights. The candidate should be highly analytical with a knack for analysis, math and statistics, with demonstrated critical thinking and problem-solving skills. Passion for machine-learning and research are also highly coveted.

 

Roles and Responsibilities include but not limited to:

• Data exploration - Explore large data sets using a variety of tools to build model ready data products and provide any requirements to ETL developers to productize.
• Model Building - Description: Leverage analytics tools like SAS to build complex statistical and machine learning models to build predictive and prescriptive strategies.
• Adhoc Insight Generation - Description: Quickly explore data and apply descriptive statistics to provide rapid insights for the business customer.
• Create data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may have many applications such as to address a business issue or provide a competitive advantage for the organization
• Utilizes strong statistical and data visualization skills
• Uses and applies technical principles, theories, and concepts
• Demonstrates the skill and ability to perform professional tasks
• Develops recommended solutions to technical problems as assigned
• Submits work for review of soundness of technical judgment, quality, and accuracy
• Contributes to the completion of assigned technical tasks

 

Qualifications

Required Qualifications:

• 5 years of experience with BS/ BA, 3 years if experience with MS/MA, 0 years of experience with PhD. Bachelor’s degree in Computer Science, Social Sciences, Physical Sciences, Statistics, or related discipline
• Statistics experience
• Must be able to work on-site in Raleigh, NC
• Must be able to obtain a Position of Public Trust Clearance – US Citizen or Permanent Resident (Green Card Holder), and must not have traveled outside the US for a combined total of 6 months or more in last 5 years.
• Must have resided in the US for the last 5 years
• Experience with customer churn and lead generation modeling.
• Knowledge of statistics, including sample design and probability sampling techniques, survey and experimental design, and measures of precision.
• Knowledge of industry developments, business practices, and technical developments to meet business needs.
• Ability to use computer-based data and operating systems, programming languages, and statistical packages (R, SAS, etc.)
• Experience working with large datasets in a Hadoop environment.
• Experience with SQL in Oracle and Teradata environments.
• Ability to provide technical guidance related to data design, data collection, and statistical analysis.
• Ability to communicate facts or ideas orally and in writing, when answering questions, giving directions, providing information, preparing reports/presentations, and in preparing documentation.
• Ability to provide relevant leadership and support to management, peers, and customers for data science best practices and procedures.

 

Desired Qualifications:

• Master's degree or PhD in related field
• Significant experience with R, Python, C , Hadoop, SQL Database/Coding, Apache Spark, Machine Learning, Natural Language Processing, and visualization tools such as Tableau
• Demonstrated experience working with unstructured data
• Local to the Raleigh, NC area as this position does not provide relocation assistance.

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. 

 

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

$80,000 - $128,000. This represents the typical salary range for this position based on experience and other factors.

Salary : $80,000 - $128,000