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  • The site is refreshed daily to remove out-of-date content.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

Microsoft Corporation Principal Data Scientist in Redmond, Washington

Microsoft Azure is the foundation for cloud workloads supporting millions of customers across a vast array of cloud native and heterogeneous architectures. Attackers are relentless in their attempts to find a way to compromise all manner of computing infrastructure, and cloud services such as Azure are also in their crosshairs. Do you want to take a major leadership role in a team dedicated to protecting Azure from sophisticated attackers?

At Microsoft Security, our mission is to make the world a safer place for all.  The Threat Protection Research Team is a global, multidisciplinary organization of engineers, data scientists, security researchers, and program managers. With trillions of signals from millions of endpoints, we have an unparalleled view of the threat landscape, enabling us to develop deep expertise in attacker techniques and use that knowledge along with the latest technology to stop it. 

We are looking for a Principal Data Scientist to apply their deep knowledge of machine learning and AI to detect attacks on Azure. This person should have a deep understanding and practical experience with the latest advancements in AI, understand modern cloud computing architectures, and be able to oversee the creation of data-driven solutions in a large-scale, operational organization supporting millions of customers.  Are you up for this challenge? 

Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

  • Take a leadership role in working with security researchers, program managers, other data scientists, and engineering teams to develop a data-driven strategy for detecting attacks against Azure

  • Perform exploratory data analysis on massive data sets generated from telemetry

  • Perform experiments to determine the most effective approaches to detect attacks, including application of supervised, unsupervised, and anomaly detection machine learning techniques

  • Train and deploy machine learning models to production environments to support detecting new attacks on Azure

  • Implement machine learning pipelines for continuous retraining and evaluation of model performance

  • Participate and take a leading role in planning how we should measure the most pressing threats to the Azure environment and guiding others in the creation and improvement of these metrics.

Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

Qualifications

Required/Minimum Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

  • OR equivalent experience.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Additional or Preferred Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

  • OR equivalent experience.

  • Experience with Spark and tools such as Azure Synapse Analytics, Microsoft Fabric, Databricks, or similar

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $173,200 - $282,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/us-corporate-pay.html

Microsoft will accept applications for the role until April 10, 2024.

#MSFTSecurity

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .

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