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  • The site is refreshed daily to remove out-of-date content.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.
Home View All Jobs (2,292,590)

Job Information

General Dynamics Information Technology Data Scientist (ETL) - TS/SCI w/Poly in McLean, Virginia

Req ID: RQ169873

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph

Job Family: Data Science

Skills:

Communication,Data Science,Mission Critical,Teamwork

Experience:

2 + years of related experience

US Citizenship Required:

Yes

Job Description:

The Data Scientist will deploy, fine-tune, and monitor production machine learning models in a production environment. Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems. As a member of the team, candidate will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of data science, data modeling, data mapping, data testing, data quality, and documentation preparation. This is a mission focused role requiring experience with deploying models in a production environment against real-time collection.

HOW A DATA SCIENTIST WILL MAKE AN IMPACT

  • Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks

  • Optimize existing machine learning services to better utilize current GPU capabilities and assist with road mapping future GPU requirements

  • Deploy machine learning models against streaming data, designed to provide near-real time analytics to augment decision making

  • Improve data architecture decisions with data engineers to better stage data for continuous training models in production

  • Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems

REQUIRED TECHNICAL SKILLS

  • Demonstrated experience with the following: Python, Cuda, Kubernetes, CI/CD. Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio processing

  • Demonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions and/or improve processes

  • Demonstrated experience with relational databases (SQL, OmniSci) and NoSQL databases (Elasticsearch, Neo4J, Redis)

  • Demonstrated experience with GPU processing

  • Demonstrated experience applying machine learning methodologies to build high-quality prediction models

  • Familiar with servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure

  • Familiar with database methodologies

  • Familiar with Source code management and integration (ex - GitHub/GitLab, Jenkins, RunDeck)

  • Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano

  • Ability to work well in a fast-paced, constantly evolving work environment with a focus on continual process improvement and a proactive approach to problem solving

WHAT YOU’LL NEED TO SUCCEED:

  • 2+ years of related data science/statistical experience and 1+ years of software engineering or data engineering experience

  • Bachelor’s or Technology degree in Engineering or a related specialized area/field, OR equivalent 4 years job-related experience OR Master's degree with 3+ years of job-related experience.

  • TS/SCI with Poly clearance

  • Excellent organizational, coordination, interpersonal and team building skills

  • Location: At Customer Site – near Tyson Corner

  • US Citizenship Required

GDIT IS YOUR PLACE:

● 401K with company match

● Comprehensive health and wellness packages

● Internal mobility team dedicated to helping you own your career

● Professional growth opportunities including paid education and certifications

● Cutting-edge technology you can learn from

● Rest and recharge with paid vacation and holidays

#OpportunityOwned

#GDITCareers

#WeAreGDIT

#cjpost

#GDITPolyEvent

#JET

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

DirectEmployers