Senior Data Scientist

Cambridge, MA, United States

Do you have a passion for data science, machine learning and AI? Do you want to apply it to protect millions of customers using Microsoft online services from threat actors around the globe? Are you curious, analytical, and motivated by new challenges? If so, we would like to hear from you!

We are seeking a Senior Data Scientist to meet the growing demand and challenges of cybersecurity and threat protection. As a Senior Data Scientist on our team, you will partner with our engineers, other data scientists, and researchers to experiment, design, build, and deploy statistical, machine learning, and AI models to protect the Microsoft Cloud against known and emerging cyberattacks. In your day-to-day work, you will perform data analysis on big data, find useful insights, perform hypothesis testing, experiment with models, vet experiments, incorporate quality monitors, and ship successful models to productions.

You will have the opportunity to collaborate with partners across Microsoft who have decades of security, research, and ML expertise and the tools and technologies to grow your expertise in this field.

The group fosters a diverse and inclusive work culture that prioritizes people at all times. We spend our days collaborating with, teaching, and learning from a diverse set of world class engineers. We develop, test, and check code in every day. We do not just value differences or different perspectives, we seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

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

Develop statistical, ML, and AI based security models for cybersecurity and intrusion detection that are feasible and scalable and meet business objectives.

Acquire and prepare data sets for modeling purposes and ensure data integrity and privacy.

Work with security threat analysts to understand cyberattack tactics and build security models and make them accessible to our team.

Produce project plans and assess the current situation for resources, risks, contingencies, requirements, assumptions, and constraints.

Evaluate and communicate the results and insights of data analysis to stakeholders.

Embody our culture and values

Qualifications

Required/Minimum 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

2+ years of programming experience in Python, Scala, R, C++, C# or similar language.

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.

Preferred/Additional Qualifications

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years datascience 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

Familiarity with Spark or Hadoop and programming skills in Python, R, or Scala

Familiarity with ML tools & frameworks such as Jupyter notebook, Scikit-Learn, Azure AI/ML/Cognitive Service, TensorFlow, PyTorch, etc..

Familiarity with statistical analysis, modeling & inferencing, and hypothesis testing.

Data Science experience in the cybersecurity domain.

Data Science 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

#MSRC #DSR #MSFTSecurity #M365SEC #AI #ML #datascientist

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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