Senior Security Data Scientist

59 Minutes ago • 1-7 Years • Data Analyst • $117,200 PA - $250,200 PA

Job Summary

Job Description

This Senior Security Data Scientist role directly supports data science needs in US Government Secret and Top-Secret Clouds. Responsibilities include developing and optimizing KQL queries, deploying data pipelines, building visualizations in Grafana, analyzing KPIs, collaborating with cross-functional teams, and ensuring data security and compliance. The ideal candidate will have a data science background with experience in data engineering, analytics, and data visualization. The role requires a Top Secret clearance with SCI access.
Must have:
  • Top Secret Clearance with SCI access
  • KQL query development and optimization
  • Data pipeline design and implementation
  • Grafana visualization expertise
  • Data analysis and debugging
  • Cross-functional team collaboration
  • Data security and compliance adherence

Job Details

Overview

Security is a top priority for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for everyone. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end-to-end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, which encourages teams and leaders to bring their best each day.

 

To this end, Microsoft has invested in isolated, secure cloud environments that offer end-to-end, simplified solutions to empower every user, customer, and developer to achieve more. The Microsoft Security organization drives Microsoft's mission and bold ambitions to secure digital technology platforms, devices, and clouds in our customers' diverse environments, as well as ensuring the security of our own internal estate. Within Microsoft Security, the Sovereign Cloud Security team secures Microsoft's clouds for governments around the world by providing best-in-class security solutions through foundational services.  In doing so, we create life-changing innovations that impact billions of lives around the world.


We are seeking a talented Senior Security Data Scientist to join our team in support of our US Government Clouds. This role will directly support our data science needs in our existing US Government Secret and Top-Secret Clouds. The ideal candidate will have a data science background with experience in data engineering, analytics, and data visualization.


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.


In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Qualifications

Required Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ 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 3+ 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 5+ 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: 

  • The successful candidate must have an active U.S. Government Top Secret Clearance with access to Sensitive Compartmented Information (SCI) based on a Single Scope Background Investigation (SSBI) with Polygraph. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. Failure to maintain or obtain the appropriate U.S. Government clearance and/or customer screening requirements may result in employment action up to and including termination.
  • Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment.
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.   
  • Citizenship & Citizenship Verification: This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government Clearance 

Additional or Preferred Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 5+ 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until May 5, 2025. 

 

 

#SCS #FSS #MSFTSecurity

Responsibilities

  • Develop and Optimize KQL Queries: Create and refine Kusto Query Language (KQL) queries to extract and analyze data from various sources.
  • Deploy Data Pipelines: Design, implement, and maintain robust data pipelines to ensure seamless data flow and integration across our cloud infrastructure.
  • Build Visualizations in Grafana: Develop insightful and interactive visualizations using Grafana to monitor and present key metrics and performance indicators.
  • Analyze and Debug KPIs: Investigate and resolve data issues, ensuring the accuracy and reliability of key performance indicators (KPIs).
  • Collaborate with Cross-Functional Teams: Work closely with engineering, product, and operations teams to understand data needs and deliver actionable insights.
  • Ensure Data Security and Compliance: Adhere to data governance and security protocols to maintain the integrity and confidentiality of sensitive information.

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