One Security Operations Center (SOC) is a new team under Modern Protection & Security Operation Center, our vision is to empower every SOC team to protect their entire digital estate, optimize for their unique environment and needs. We build the ultimate unified one-stop-shop solution, making SOC teams most effective and efficient and deliver optimized protection that meets customers where they are, leading Extended Detection and Response (XDR)+ Security Information and Event Management (SIEM) market.

We are looking for an innovative data scientist with strong technical skills and desire to make significant impact through data and research. A successful candidate will be an excellent hands-on applied data scientist who is enthusiastic about data, security, and real-world problem solving.

Responsibilities

As a data scientist on our team, you will work closely with other data scientists, security researchers, software engineers, and product managers to tackle many different types of problems. You will utilize anomaly detection techniques, supervised and unsupervised learning methods, large language models (LLM), statistical methods, time series analysis, and more, to help customers manage their security incidents and protect their environments. You will be up to date with our customers’ needs and the competitive landscape and work with internal and external teams to build advanced solutions for SIEM and XDR. You will have massive Spark clusters at your disposal, process hundreds of PBs and code mainly in Python and PySpark. You will be independent but surrounded by a large team of strong and experienced multi-disciplinary researchers.

Qualifications

• M.Sc./Ph.D. in Computer Science, Engineering, or a related field
• 4+ years of hands-on data science and machine learning experience
• Demonstrated experience in solving difficult problems connecting theory to real world impact
• Passionate about using data science for building products
• Excellent people skills, teamwork, and collaboration
• Advantage: experience in the cyber domain, NLP, or Spark.
  

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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.