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  • The site is refreshed daily to remove out-of-date content.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.
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Google Machine Learning Analyst, Google Cloud Protection Analytics in Sunnyvale, California

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

  • 2 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:

  • Master's degree in a quantitative discipline.

  • 2 years of experience with one or more of the following languages (e.g,. SQL, R, Python or C++).

  • 2 years of experience with machine learning systems.

  • Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

  • Excellent written and verbal communication skills.

Google Cloud Platform (GCP), Google Protection Analytics (GPA) is Google Cloud’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google Cloud to deliver bold solutions to stop abuse and provide safe and trusted experiences for our users. As a member of the GCP Protection Analytics team, you will help deliver trusted experiences for Google Cloud users by building products that prevent abuse while ensuring Google Cloud customers are able to seamlessly grow on Cloud. You will leverage our user trust expertise, machine learning and problem-solving skills, and a cross-product perspective to build and deliver enterprise-ready, industry-leading solutions.

The US base salary range for this full-time position is $117,000-$172,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .

  • Analyze and solve problems using data and statistical methods.

  • Identify and prevent fraud and abuse.

  • Improve tools and automated systems through data analysis, technical expertise, and present to stakeholders.

  • Perform data analysis to drive decision-making, such as monitoring the rollout of new models, investigate the impact of machine learning model changes, and the root cause of unanticipated changes in key metrics.

  • Evaluate new features and data sources to use in modeling, both to improve existing model performance and to adapt new potential model use cases.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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