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Data Scientist

  • Anywhere

Company :
Peraton

Location :
Raleigh, North Carolina

Expiry Date :
Sun, 25 Apr 2021 23:59:59 GMT

Apply Job :
Open Link

Description :
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, we are a trusted provider of highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies, including the Intelligence Community, Department of Defense, Department of Health and Human Services, and NASA. Every day, our 10,000 employees do the can’t be done, solving the most daunting challenges facing our customers. We are seeking a Data Scientist to support our customer 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 Basic Qualifications – Must have one of the following: – Bachelor’s degree in Computer Science, Social Sciences, Physical Sciences, Statistics, or related discipline with a minimum of 5 years of statistics experience – Master’s degree in Computer Science, Social Sciences, Physical Sciences, Statistics, or related discipline with a minimum of 3 years of statistics experience – 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. – 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 Preferred 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 – An active DoD Secret security clearance (or higher) – Local to the Raleigh, NC area as this position does not provide relocation assistance. We are an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law.