Job Description

　　BAE is looking to add a Senior Level Data Scientist to our growing team. We are looking for Machine Learning and AI experience.

　　This position is in Dulles - full time - onsite - Excellent Benefits

　　This position does require a high-level clearance.

　　Enhance its Artificial Intelligence (AI) and Machine Learning (ML) data science operations, perform a review of mobile forensics results, while working alongside existing teams to integrate new capabilities alongside existing applications.

　　You will be part of a flexible high-performance team that can adapt to world events and provide AI, ML, and other analytic capabilities to support the development of new architectures as well as previously deployed systems.

　　And are required to communicate and collaborate across organizational boundaries, to include other contractor teams across the organization.

　　Required Education, Experience, & Skills

　　What you will be doing

　　Ensure that all developed applications and modifications to existing Sponsor applications comply with Sponsor s security and architectural policies and regulations.

　　Work closely with an analytics team to exploit data;

　　Apply DevOps principles and philosophies to continuously deliver enhancements to software in a service-based architecture.

　　Support data engineering efforts to transfer, load, and analyze large data sets to derive data relationships.

　　Maintain all source code in Sponsor-wide, Git repositories.

　　Develop and improve upon existing analytic tools and techniques to support mission specific data challenges.

　　Develop and apply data exploitation models and devise creative data exploitation strategies; the

　　Integrate, analyze, evaluate, and assess quantitative data, using statistical software, computer models, geospatial models, software languages, mathematical models, or machine learning, to contribute to or develop IT solutions to requirements such as software tools, analytic models, or reports.

　　Develop scripts to forensically carve content from various database and file formats.

　　Parse artifacts from databases commonly stored on mobile devices.

　　Inspect network traffic to recognize security protocols.

　　Understand and utilize certificate pinning.

　　Decompile mobile application packages.

　　Preferred Education, Experience, & Skills

　　Skills Needed

　　Python Programming -

　　Systems Integration/Engineering -

　　Data Modeling

　　Data Engineering

　　Artificial Intelligence (AI) / Machine Learning (ML) Modeling -

　　More Details

　　Demonstrated experience working with network inspection tools to capture and analyze network traffic.

　　Demonstrated experience conducting forensic research to enable software development of priority mobile modules for the Sponsor s enterprise government off the shelf (GOTS) capability.

　　Demonstrated experience defeating certificate pinning while collecting data. Demonstrated experience developing and documenting scripts on Linux OS.

　　Demonstrated experience converting mobile data formats to a common JSON data structure

　　Demonstrated experience acquiring relevant and real time data through credential management.

　　Demonstrated experience developing an ETL pipeline in Python, specifically utilizing the Bonobo framework.

　　Demonstrated experience with digital anti-fraud techniques and technologies.

　　Demonstrated experience and understanding of digital techniques and technologies to mitigate technical signatures.

　　Demonstrated experience with encryption and decryption methodologies

　　Demonstrated experience extracting, transforming, and loading data into common data models utilizing common data engineering services.

　　Demonstrated experience utilizing enterprise APIs.

　　Demonstrated experience building applications for the exploitation of technical data.

　　Demonstrated experience developing analytic platforms.

　　Demonstrated experience building user interfaces for analytic platforms.

　　Demonstrated experience controlling access to data items according to enterprise security models.

　　Demonstrated experience exploiting data that is not in the English language.

　　Demonstrated experience developing machine learning models on text data and structured datasets.

　　Demonstrated experience creating AI and ML models and natural language processing (NLP) models.

　　Demonstrated experience building statistical models and performing predictive analytics.

　　Demonstrated experience building Elasticsearch Indexes

　　Pay Information

　　Full-Time Salary Range: $140690 - $239140

　　Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.

　　Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.

　　Senior ML / AI

　　97967BR

　　EEO Career Site Equal Opportunity Employer. Minorities . females . veterans . individuals with disabilities . sexual orientation . gender identity . gender expression