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  • The site is refreshed daily to remove out-of-date content.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 Senior Data Scientist, Google Cloud Support in San Francisco, California

Minimum qualifications:

  • Bachelor's degree in Computer Science, Information Systems, related technical field, or equivalent practical experience.

  • 3 years of experience developing/deploying machine learning and time series forecasting models using statistical software (e.g., Python, R).

  • 3 years of experience applying statistical modeling, hypothesis testing, and experimentation.

  • 3 years of experience analyzing data, and working with SQL and databases.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, Data Science, Mathematics, Economics, Physics, Engineering, Management Information Systems, Statistics, Accounting, or a similar field.

  • Experience in product analytics, customer support, business intelligence, data science, or data warehousing.

  • Ability to collaborate with internal stakeholders across different functions and geographies to manage change and drive improvement initiatives.

  • Excellent communication skills, with the ability to influence team members and manage business priorities.

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

As part of the Cloud Support Data Science team, you’ll play a key role in using data and machine intelligence to empower data-driven execution of strategy and operations for Google customers. The team works collaboratively with Sales, and other Cloud Support teams to build analytics solutions that enable actionable insights to provide an effortless customer experience. In this role, you’ll work on a variety of stakeholder projects with opportunities to address problems that require innovative solutions and data products.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $150,000-$223,000 + 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/) .

  • Build and maintain data pipelines and time series models to generate support case volume forecasts that enable long-term capacity planning and short-term scheduling decisions.

  • Lead monthly business reviews with senior stakeholders, sharing insights on drivers of change across a dynamic organization.

  • Engage with the organization to identify, prioritize, frame, and structure ambiguous challenges.

  • Define the analytical direction for the team, and influence the direction of the associated infrastructure work.

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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