Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

General Dynamics Mission Systems (REMOTE) Senior Data Scientist - Deep Learning Analytics CoE in Bloomington, Minnesota

Basic Qualifications Bachelor's of Science in a STEM (Science, Technology, Engineering, Mathematics) related field, plus 8 yrs or Master's degree plus 6 yrs. CLEARANCE REQUIREMENTS: Ability to obtain a Department of Defense Top Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position 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 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. What You'll Do: Leading teams of data scientists on full life cycle data-driven solutions. Mentoring fellow data scientists and providing guidance on their efforts. 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 DL 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. Skills You'll Bring: Proficiency in ML and DL frameworks, such as scikit-learn, TensorFlow, and PyTorch. Excellent leadership skills. Excellent written and verbal communication abilities. Proficiency in software development, with an emphasis on Python. Understanding of validation methods for ML models. Experience in distributed version control systems and DevOps tools, such as GitLab, Git, Docker, and Kubernetes. Experience with the Linux command line, including bash and shell scripting. Expertise in handling large, complex datasets including image, cyber, NLP, and signal data. Skills in data preparation and corpus filtering using databases like PostgreSQL and MySQL. Familiarity with experimental design for data science projects. Competence & experience in full life cycle ML operations (MLOps). Target salary range: USD $152,367.40/Yr. - USD $169,032.60/Yr. This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled. Company Overview At General Dynamics Mission Systems, we rise to the challenge each day to ensure the safety of those that lead, serve, and protect the world we live in. We do this by making the world's most advanced defense platforms even smarter. Our engineers redefine what's possible and our manufacturing team brings 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 of purpose, committed to a diverse and exciting employee experience that drives innovation and creates a community where all f el welcome and a part of something amazing. We offer highly competitive benefits and a flexible work environment where contributions are recognized and rewarded. To see more about our benefits, visit General Dynamics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran

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