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  • The site is refreshed daily to remove out-of-date content.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

Black Bear Technology Solutions, LLC Data Scientist in Washington, District Of Columbia

Job Title: Data Scientist Location: Washington, DC (Pentagon) Clearance: TS/SCI clearance Black Bear Technology is hiring a computational linguistic expert to improve the virtual assistant's Natural Language Processing (NLP) model by analyzing user data, troubleshooting false positives, and identifying new features. They will also collaborate with stakeholders and the AI engineering team. Responsibilities:

  • Build a thorough understanding of annotation guidelines and annotation tools

  • Annotate natural language data accurately within deadlines, adhering to guidelines

  • Dive deep into the data to perform qualitative error trend analysis

  • Collect and organize data according to the criteria

  • Manage unique data collection and analysis requests for different NLP/NLU applications

  • Collaborate with other ML Data Linguists to resolve data ambiguities and annotation disagreements

  • Provide feedback to Language Engineers on annotation guidelines, tooling, and processes to drive improvements

    Required Skills:

  • 3+ years of demonstrated experience delivering real-world software solutions using Natural Language Processing, machine translation, or other related disciplines

  • Demonstrated experience with modern programming and scripting languages is required, with preference to Java, C#, C++, PERL, and Python

  • Knowledge of structural aspects of languages (morphology, syntax, semantics, phonology, phonetics).

  • Strong interpersonal skills, attention to detail, and proven ability to handle priorities are critical

    Educations:

  • Bachelor’s Degree in Computational Linguistics, Linguistics, Computer Science with Linguistics focus, or equivalent discipline

    Black Bear Technology Solutions, LLC (B2TS), is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. B2TS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at B2TS are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. B2TS will not tolerate discrimination or harassment based on any of these characteristics.
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