General Dynamics Mission Systems (GDMS) is seeking an experienced data scientist to identify and cultivate innovative ML initiatives, interface with business development teams, and educate clientele on AI capabilities and progress.
Requirements
- Proficiency in ML and DL frameworks, such as scikit-learn, TensorFlow, and PyTorch.
- 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.
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.
Other
- Requires a Bachelor’s degree in Engineering, or a related Science or Mathematics field. Also requires 5+ years of job-related experience, or a Master's degree plus 3 years of job-related experience.
- U.S. citizenship is required.
- Excellent written and verbal communication abilities.
- Candidates for this position are expected to demonstrate a high level of data science acumen, excellent communication skills, and a passion for continuous learning within the ever-evolving field of artificial intelligence.
- Flexibility to fully manage your own schedule including a hybrid work schedule to allow for a blend of in office and remote work.
