Category: Research and Sciences
Location: Woodlawn, Maryland
US Citizenship Required for this Position: Yes
Clearance Type: Position of Public Trust
Telecommute: No -Teleworking not available for this position
Shift: 1st Shift
Travel Required: No
Positions Available: 1
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 22,000 employees do the can't be done, solving the most daunting challenges facing our customers. Peraton is seeking a Principal Data Scientist to support the Social Security Administration in Woodlawn, MD. Description of Work: Responsibilities for this position include:
Identify data needs and proper methods for data gathering, integration, preparation, data quality and data governance
Perform exploratory and targeted analyses, generating and testing working hypothesis, preparing, mining and analyzing structured, semi-structured, and unstructured data, identifying patterns/trends and insight using basic and advanced statistical algorithms, modeling and visualization tools, programming languages and analytical/machine learning/ deep learning techniques
Design, architect, code and deploy production ready Deep Learning models.
Basic Qualifications: Minimum knowledge, skills, abilities needed.
Bachelor's Degree and 7 years of relevant work experience, Or Master's Degree and 5 years of relevant work experience, OR a minimum 11 years of work experience in a quantitative field such as Computer Science or Data Analytics.
Minimum of 7 years of experience working with vocational data sets
Minimum of 7 years of experience with database structures and query tools such as SQL, PostgreSQL, and Hadoop
Minimum of 7 years of experience with:
Python; additional knowledge of other programming languages (C++, R, etc.)
Deep neural networks including convolutional networks and recurrent networks, and machine learning in general
Deep learning frameworks like TensorFlow, Caffe, Torch, Theano, Keras
Data architecture, data curation, data cleansing, and data modeling concepts
Minimum of 7 years of experience applying data analytics and machine learning concepts and methodologies
Minimum of 5 years expertise in building HiveQL structures on top of HDFS data; an expert in constructing and accessing Hive tables.
Must be able to obtain and maintain a US Public Trust clearance
Must be a US citizen or US Permanent Resident (Green Card Holder)
Preferred Qualifications: Candidates with these skills will be given preferential consideration.
Experience working with data sets from the Social Security Administration
Experience with SAS and coding in SAS
Experience with fraud analytics/fraud detection
Proficiency in identifying, integrating and preparing disparate data sets of varying types (both structured and unstructured), sizes and structures
Strong analytical, quantitative reasoning, mathematical and problem-solving skills
Experience with Deep Learning on AWS
Experience working on CI/CD/DevOps technologies like GitHub, Jenkins, Docker etc
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.