Senior Data Scientist

Redmond, WA, United States

Security represents the most critical priorities 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 all. 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, 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.

The Microsoft Identity security team is dedicated to safeguarding our users from account compromise and fraudulent activities. At the heart of this mission is our data science team, which plays a crucial role in developing and enhancing machine learning-based detection methods to identify and malicious actors, ensuring the protection of our customers. We are currently seeking an experienced Senior Data Scientist to contribute to our efforts in building advanced analytics and automation capabilities. In this role, you will collaborate with data scientists and security researchers to develop detection mechanisms, establish evaluation methodologies for monitoring the performance of our machine learning systems, and enhance grading capabilities. Your responsibilities will extend to constructing detections based on findings and developing algorithms to automate the manual grading and investigation processes. Do you love big data and the challenges it entails? Do you like the idea of applying your technical skills to protect millions of Microsoft customers from malicious actors? Do you want be part of a team of smart, talented and mission driven people? Then this job is for you!

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.

Responsibilities

Create and maintain machine learning based detections to detect compromise of Microsoft Identity users or services.

Analyze new data sources and research new patterns and techniques that can be used in an automated detection.

Collaborate with software engineers and PMs to see your detections productized end-to-end.

Set up and track metrics to assess the quality of our detections, so we can improve and adapt in real time.

Leverage data gathered by the different teams and services to build new detection algorithms.

Help the team achieve its mission by participating in incident resolution and investigations on identity attacks.

Embody our Culture and Values

Qualifications

Required/Minimum 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)

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.

Other Requirements

Background Check: 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.

Preferred Qualifications

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience.

Proficient in data analytics languages (SQL, R or Python) and some programming experience (C#, C++, Java)

Effective communication skills with other data scientists and with partners from other domain

MS/PhD in computer science, machine learning, statistics, or quantitative domain.

Previous experience in any of the following: identity systems, security, threat intelligence, fraud, or abuse.

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: US corporate pay information | Microsoft Careers

Microsoft will accept applications for the role until May 15, 2024.

#MSFTSecurity, #IdentityJobs

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.

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