(REMOTE) Deep Learning Analytics Advanced Data Scientist / D

Basic QualificationsRequires a Bachelor's degree in Engineering, or a related Science orMathematics field. Also requires 5+ years of job-related experience, or aMaster's degree plus 3 years of job-related experience.CLEARANCE REQUIREMENTS: Ability to obtain a Department of Defense Top Secretsecurity clearance is required at time of hire. Applicants selected will besubject to a U.S. Government security investigation and must meet eligibilityrequirements for access to classified information. Due to the nature of workperformed within our facilities, U.S. citizenship is required.Responsibilities for this PositionThe Deep Learning Analytics Center of Excellence (DLACoE) at GeneralDynamics Mission Systems is actively seeking a data scientist with abackground in Deep Learning (DL), advanced data visualization,software development, and full Machine Learning (ML) life cyclemanagement. This individual serves in a pivotal role that interfaces directlywith our business development teams, aiding in identifying and cultivatingof innovative ML initiatives. Furthermore, the role entails theresponsibility of engaging with our clientele, educating them about what AIcan and cannot do, our approach to problem solving, and our progress todate onThey will collaborate closely with our interdisciplinary teams to tacklecomplex DL challenges. This involves leveraging and refining cutting-edgetraining methodologies and model architectures to solve problems across adiverse range of data modalities underwater, on land, in the air, and inspace.Candidates for this position are expected to demonstrate a high level oftechnical acumen, excellent communication skills, and a passion forcontinuous learning within the ever-evolving field of artificialintelligence.Our Commitment to You:A workplace that allows you to take your career to the next level.Access to expansive and diverse datasets to grow your data science portfolio.Applied research oriented work, alongside award winning teammates to developpractical solutions that directly impact the company's bottom line.Training budget to help you develop your professional skills, attendingconferences, obtaining certifications, even a masters degree.Flexibility to fully manage your own schedule including a hybrid work scheduleto allow for a blend of in office and remote work.Opportunities & encouragement to patent and/or publish your work.WhatYou'll Do:Collaborating with teams of data scientists on full life cycle data-drivensolutions.Data wrangling, preprocessing, and manipulation for ML applications.Applying advanced statistical methods and reporting techniques to largedatasets.Interpreting data analysis and experimental results, and communicatinginsights.Developing ML systems for both supervised and unsupervised learning tasks.Mastering deep learning algorithms and addressing their limitations related tohardware or data.Conducting experiments to enhance model performance and clearly reportingoutcomes to both technical and non-technical audiences.Optimizing DL architectures for performance and supporting systematicoptimization efforts.Deploying ML solutions across diverse platforms, from large clusters tosmall SWaP (Size, Weight, and Power) environments.Monitoring ongoing model performance to detect and adjust for data drift.Following best practices for software documentation and reporting.SkillsYou'll Bring:Proficiency in ML and DL frameworks, such as scikit-learn, TensorFlow,and PyTorch.Excellent written and verbal communication abilities.Experience with the Linux command line, including bash and shell scripting.Expertise in handling large, complex datasets including image, cyber,NLP, and signal data.Experience in distributed version control systems and DevOps tools, such asGitLab, Git, Docker, and Kubernetes.Skills in data preparation and corpus filtering using databases likePostgr SQL and MySQL.Software development experience in multiple programming languages, with anemphasis on Python.Understanding of validation methods for ML models.Familiarity with experimental design for data science projects.Competence in full life cycle ML operations (MLOps).#LI-HybridTarget salary range: USD $122,690.40/Yr. - USD $136,109.60/Yr.This estimate represents the typical salary range for this position based onexperience and other factors (geographic location, etc.). Actual pay mayvary. This job posting will remain open until the position is filled. CompanyAt General Dynamics Mission Systems, we rise to the challenge each day toensure the safety of those that lead, serve, and protect the world we livein. We do this by making the world's most advanced defense platforms evensmarter. Our engineers redefine what's possible and our manufacturing teambrings it to life, building the brains behind the brawn on submarines,ships, combat vehicles, aircraft, satellites, and other advanced systems.We pride ourselves in being a great place to work with this shared sense ofpurpose, committed to a diverse and exciting employee experience that drivesinnovation and creates a community where all feel welcome and a part ofsomething amazing.We offer highly competitive benefits and a flexible work environment wherecontributions are recognized and rewarded. To see more about our benefits,visit https://gdmissionsystems.com/careers/why-work-for-us/benefitsGeneral Dynamics is an Equal Opportunity/Affirmative Action Employer that iscommitted to hiring a diverse and talented workforce. EOE/Disability/Veteran