AIS (Applied Information Sciences)
Data Scientist
AIS (Applied Information Sciences), Mc Lean, Virginia, us, 22107
Qualifications
Possession of an active Top Secret (TS) clearance with Sensitive Compartmented Information (SCI) access and successful completion of a polygraph examination are mandatory for this position.Demonstrated experience tuning hyper-parameters of existing machine learning models for domain-specific data sets.Experience working with data science models testing, optimization, validation, and tests automation.Experience leveraging model management capabilities to track version control and maintain information about best-performing models, such as MLFLOW or similar.Demonstrated experience programming in Python.Demonstrated experience programming in other scripting languages, such as Bash.Demonstrated experience applying deep learning and machine learning processing libraries, including PyTorch, TensorFlow, Keras, and scikit.Demonstrated experience using Linux and Windows operating systems.Demonstrated experience using CUDA and NVIDIA GPU accelerated libraries for AI, machine-learning, and deep learning.Demonstrated experience with implementing data science workflows in cloud-based platforms (e.g., AWS, Azure, etc.).Demonstrated experience developing and deploying machine learning models based on cybersecurity related workflows.Demonstrated experience working in Sponsor’s mission environment.Demonstrated experience developing and working with cyber data (e.g. netflow, pcap, credential, ip scans, etc.).Demonstrated experience working with large language models and general artificial intelligence models.Demonstrated ability to creatively solve problems and an established track-record for working across organizations while effectively engaging with analysts, managers, developers, data scientists, and other stakeholders.Demonstrated experience working with the Sponsor’s startup incubator, to identify, evaluate, and transition commercial software tools.Demonstrated experience with functional evaluation of the Sponsor's proprietary software.Academic and or work experience in the fields of Data Science, Operations Research, or Computer Science.Smart people with a passion for technology.Strong technical capabilities with a consultancy mindset.Close involvement with local technical communities.A willingness to think outside of the box to provide innovative solutions to clients.Ability to solve challenging technical business problems.Continued Learning and Technical Excellence.Responsibilities
As a Data Scientist, you will provide support for the customer's machine learning model development and deployment efforts specific to its cyber focus and targets.You will implement machine learning methodologies to triage large commercial datasets; identify topical, spatial, and time-based trends of interest within large amounts of commercial cyber data; and work with data science models testing, optimization, validation, and tests automation.As a Data Scientist, you will also integrate machine learning models into software through inference engines, machine learning pipelines, and other approaches and communicate and work effectively with cross-functional team members including but not limited to data analysts, data scientists, external stakeholders, management, and software solutions integrators.Work in a team with other smart AIS employees and use cutting-edge technologies to solve challenging enterprise problems.Advise and assist in integration of AI/ML capabilities into the existing enterprise applications as required.Advise about the feasibility of technical requirements and the plausibility of technical claims.Be responsible for reviewing commercial, open source, and government-provided technical information, systems, and demonstrations to evaluate claims of system performance and capabilities.Location and Travel Details
This opportunity is onsite in Mclean, VA.Security Clearance and Citizenship Requirements
Must hold an active Top Secret/Sensitive Compartmented Information (TS/SCI) Clearance with Polygraph examination.Company informationAIS (Applied Information Sciences) specializes in IT transformation for large commercial and federal enterprises, delivering compliant and transformative cloud and data solutions that speed up time to value, sunset legacy technology, and accelerate innovation. Our expertise lies in the highly regulated environments leading migration and modernization, DevSecOps, security and compliance, custom app development, and data intelligence. Our customers include a broad range of organizations, from start-ups to Fortune 100 companies, and include state and local governments as well as defense and national security agencies.
#J-18808-Ljbffr
Possession of an active Top Secret (TS) clearance with Sensitive Compartmented Information (SCI) access and successful completion of a polygraph examination are mandatory for this position.Demonstrated experience tuning hyper-parameters of existing machine learning models for domain-specific data sets.Experience working with data science models testing, optimization, validation, and tests automation.Experience leveraging model management capabilities to track version control and maintain information about best-performing models, such as MLFLOW or similar.Demonstrated experience programming in Python.Demonstrated experience programming in other scripting languages, such as Bash.Demonstrated experience applying deep learning and machine learning processing libraries, including PyTorch, TensorFlow, Keras, and scikit.Demonstrated experience using Linux and Windows operating systems.Demonstrated experience using CUDA and NVIDIA GPU accelerated libraries for AI, machine-learning, and deep learning.Demonstrated experience with implementing data science workflows in cloud-based platforms (e.g., AWS, Azure, etc.).Demonstrated experience developing and deploying machine learning models based on cybersecurity related workflows.Demonstrated experience working in Sponsor’s mission environment.Demonstrated experience developing and working with cyber data (e.g. netflow, pcap, credential, ip scans, etc.).Demonstrated experience working with large language models and general artificial intelligence models.Demonstrated ability to creatively solve problems and an established track-record for working across organizations while effectively engaging with analysts, managers, developers, data scientists, and other stakeholders.Demonstrated experience working with the Sponsor’s startup incubator, to identify, evaluate, and transition commercial software tools.Demonstrated experience with functional evaluation of the Sponsor's proprietary software.Academic and or work experience in the fields of Data Science, Operations Research, or Computer Science.Smart people with a passion for technology.Strong technical capabilities with a consultancy mindset.Close involvement with local technical communities.A willingness to think outside of the box to provide innovative solutions to clients.Ability to solve challenging technical business problems.Continued Learning and Technical Excellence.Responsibilities
As a Data Scientist, you will provide support for the customer's machine learning model development and deployment efforts specific to its cyber focus and targets.You will implement machine learning methodologies to triage large commercial datasets; identify topical, spatial, and time-based trends of interest within large amounts of commercial cyber data; and work with data science models testing, optimization, validation, and tests automation.As a Data Scientist, you will also integrate machine learning models into software through inference engines, machine learning pipelines, and other approaches and communicate and work effectively with cross-functional team members including but not limited to data analysts, data scientists, external stakeholders, management, and software solutions integrators.Work in a team with other smart AIS employees and use cutting-edge technologies to solve challenging enterprise problems.Advise and assist in integration of AI/ML capabilities into the existing enterprise applications as required.Advise about the feasibility of technical requirements and the plausibility of technical claims.Be responsible for reviewing commercial, open source, and government-provided technical information, systems, and demonstrations to evaluate claims of system performance and capabilities.Location and Travel Details
This opportunity is onsite in Mclean, VA.Security Clearance and Citizenship Requirements
Must hold an active Top Secret/Sensitive Compartmented Information (TS/SCI) Clearance with Polygraph examination.Company informationAIS (Applied Information Sciences) specializes in IT transformation for large commercial and federal enterprises, delivering compliant and transformative cloud and data solutions that speed up time to value, sunset legacy technology, and accelerate innovation. Our expertise lies in the highly regulated environments leading migration and modernization, DevSecOps, security and compliance, custom app development, and data intelligence. Our customers include a broad range of organizations, from start-ups to Fortune 100 companies, and include state and local governments as well as defense and national security agencies.
#J-18808-Ljbffr