General Dynamics · 1 month ago
Senior Advanced Data Scientist
USA-Telework-Telework
Full-time
Hybrid
Senior Level
$156K/yr - $173K/yr
6+ years expGeneral Dynamics Mission Systems is actively seeking an experienced senior advanced data scientist with expertise in Deep Learning and MLOps. The role involves collaborating with business development teams to identify innovative ML initiatives and engaging with clients to educate them about AI capabilities while tackling complex deep learning challenges.
AerospaceNational SecurityPublic Transportation
No H1B
U.S. Citizen Only
Responsibilities
Collaborating with teams of data scientists on full life cycle data-driven solutions
Data wrangling, preprocessing, and manipulation for ML applications
Applying advanced statistical methods and reporting techniques to large datasets
Interpreting data analysis and experimental results, and communicating insights
Developing ML systems for both supervised and unsupervised learning tasks
Mastering deep learning algorithms and addressing their limitations related to hardware or data
Conducting experiments to enhance model performance and clearly reporting outcomes to both technical and non-technical audiences
Optimizing DL architectures for performance and supporting systematic optimization efforts
Deploying ML solutions across diverse platforms, from large clusters to small 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
Qualification
Required
Requires a Bachelor's degree in Engineering, or a related Science, Technology or Mathematics field
Also requires 8+ years of job-related experience, or a Master's degree plus 6 years of job-related experience
Due to the nature of work performed within our facilities, U.S. citizenship is required
Experience in Deep Learning (DL), software development, and MLOps life cycle management
Demonstrate a high level of data science acumen
Excellent communication skills
Passion for continuous learning within the ever-evolving field of artificial intelligence
Collaborating with teams of data scientists on full life cycle data-driven solutions
Data wrangling, preprocessing, and manipulation for ML applications
Applying advanced statistical methods and reporting techniques to large datasets
Interpreting data analysis and experimental results, and communicating insights
Developing ML systems for both supervised and unsupervised learning tasks
Mastering deep learning algorithms and addressing their limitations related to hardware or data
Conducting experiments to enhance model performance and clearly reporting outcomes to both technical and non-technical audiences
Optimizing DL architectures for performance and supporting systematic optimization efforts
Deploying ML solutions across diverse platforms, from large clusters to small 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
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 as GitLab, Git, Docker, and Kubernetes
Skills in data preparation and corpus filtering using databases like PostgreSQL and MySQL
Software development experience in multiple programming languages, with an emphasis 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)
Benefits
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 develop practical solutions that directly impact the company’s bottom line.
Training budget to help you develop your professional skills, attending conferences, obtaining certifications, even a masters degree.
Flexibility to fully manage your own schedule including a hybrid work schedule to allow for a blend of in office and remote work.
Opportunities & encouragement to patent and/or publish your work.
Company
General Dynamics
General Dynamics is a defense industry contractor for shipbuilding, marine, combat and defense systems and, munitions.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$84.9M2010-09-10Grant· $30M
2009-12-30Grant· $33.6M
2009-08-05Grant· $21.3M
Leadership Team
Lauren Bradshaw, SHRM-CP
Global Mobility Business Partner/ EAP
Matthew Brandon, MSHR
Manager, Sr HR Business Partner
Recent News
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