Microsoft Cloud Security is a leader in cybersecurity, our team power s products like Microsoft Defender for External Attack Surface Management (MDEASM), and Microsoft Defender for Threat Intel (MDTI). Our mission is to empower s ecurity organizations to understand and defend against an ever-changing threat landscape. We execute on this mission by turn ing the internet’s data into information and actionable truth that in-turn allows our products to enable its users to collect, analyze, discover, and share.
We are seeking a talented Senior Data & Applied Scientist to join our team where you will have the oppurtunity to apply cutting-edge machine learning algorithms and LLMs to petabytes of data and extract actionable insights for customers. You will be driving projects from conception to production working along with other Data Scientists on the team , consistently delivering value to customers.
You relish the opportunity to create world-impacting solutions and yet you also feel motivated when contributing in small ways. If this sounds like you then come help us build a foundation of trust for our world’s digital future .
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.
Qualifications:
Required Qualifications:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
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- OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 3+ years of experience in training and deploying Machine Learning models
- 3 + years of experience with Python , Jupyter , scikit-learn , pytorch / tensorflow and/or other deep learning framework .
Preferred Qualifications:
- Experience shipping models to services that run on the cloud and get applied to multiple terabytes of data a day.
- Experience building solutions/analytics for cyber security/Threat Intelligence.
- Cloud and services experience, with Azure cloud experience highly desirable.
- Excellent analytical skills with systematic and structured approach to software design
- Experience with or exposure to Agile and iterative development processes.
- Exposure to Hadoop ecosystem.
- Exposure to Java, Spark, Kafka
- Demonstrated problem-solving skills to help refine problem statements and solve them with the available data .
- Experience driving execution with hyper-scale cloud engineering groups .
- Demonstrated ability to dive-in and learn new technologies .
Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $112,000 – $218,400 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 $145,800 – $238,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Responsibilities:
- Explore and analyze data to supply meaningful insights on a wide range of internet collections.
- Design, Prototype and Implement models ; work with the Data Engineering team to deliver models to production.
- Partner with teams to identify and explore opportunities for the application of machine learning and LLMs.
- Influence across disciplines and teams to ensure we are making data-driven decisions and solving critical problems for our customers.
- Communicate with technical and non-technical audiences and contribute as a team player.
- Mentor others and stay current with advances in the industry.
- Focus on customer/partner needs through a data driven approach.