Data Scientist

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.

What You'll Be Doing

• 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 currently hold an active Top Secret/Sensitive Compartmented Information (TS/SCI) Clearance and willing to obtain a CI Poly.

Profile of Success

• Demonstrated experience tuning hyper-parameters of existing machine learning models for domain-specific data sets.
• Extensive experience with developing and implementing machine learning methodologies to triage large commercial cyber datasets.
• Experience implementing, evaluating, and extending state-of-the-art, data science methods, data labeling, ETL, and other data standardization practices.
• Experience integrating user-orientated model evaluation.
• 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.).

Desirable Skills

• 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.

About AIS

AIS, Dedicated to Our People

AIS employees can spend their entire career at AIS doing challenging, rewarding work and reach their desired level of achievement and responsibility. We offer the opportunity to move up, without the obligation to move out of a position where one excels. We are committed to our employee's success; however, they define it.

It's our dedication to our employees that inspired our leadership to invest in our future and become partially employee-owned through an Employee Stock Ownership Program (ESOP).

Our employees are our greatest strength, and we do all that we can to serve them. We invest in technology as early adopters, allowing us to create transformative and innovative solutions for our customers while exposing our team to cutting edge technology.

We hire outstanding individuals who are committed to curiosity, passionate about emerging technology, and who are excited to find innovative solutions for the biggest tech challenges facing international brands and government agencies today.

We Invest in Individuals Committed to Innovation

AIS is seeking professionals of a certain character and level of excellence. People that we can learn from and that we can help grow to achieve their personal career goals.

We are looking for:

• 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
• Self-directed professionals

Our Core Values

• Client Success
• C ontinued Learning and Technical Excellence
• Strong Client Relationships
• Citizenship and Community

EEO Statement

Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law. Employment decisions are based solely on qualifications, merit, and business need.