Do you have a passion for data and machine learning? Do you want to apply it to create security services that help millions of customers protect their applications from threat actors around the globe? Are you curious, analytical, and motivated by new challenges and willing to prove it? If so, we would like to hear from you!
Azure Anti-Fraud Team, which is part of the Cloud Security Division, is developing Azure Analytical Threat Detection Engine, a cloud scale service that provides dynamic threat telemetry from hundreds of thousands of Azure subscriptions and provides a risk score to activities across Azure. This solution is based on state-of-the-art machine learning techniques aggregating terabytes of information each day. In addition to machine learning, the team uses other detection strategies to identify fraud patterns in Azure usage. The threat intelligence produced is used to combat fraud and abuse, and it saves Microsoft millions of dollars.
We are seeking Data Scientist to help us grow and modernize our data science and detection strategies. As a data scientist on our team, you will partner with our engineers, other data scientists, and researchers to design, build, and deploy state-of-the-art machine learning to protect Azure. In your day-to-day work, you will build machine learning pipelines, vet experiments, incorporate quality monitors, and ship successful models to production.
You will have the opportunity to collaborate with partners across Microsoft who have decades of security and ML expertise. Microsoft provides phenomenal community, tools, and technologists to grow your expertise in this field.
Monitor and analyze data to uncover classification gaps.
Identify performant features and models and make them accessible to our team.
Provide technical leadership to our team by reviewing problem sets, proposing prediction models, and reviewing experiments and models.
Act as a resident expert for machine learning, statistics, and experiment design.
BS/MS degree in Computer Science, Statistics or related field.
Proficiency in structured and unstructured data processing & analysis using tools like SQL, Spark, R etc.
Programming experience in Python, C++, C# or similar language.
Familiarity with ML tools & frameworks such as Jupyter notebook, ML.NET, CNTK/TensorFlow/PyTorch etc.
Familiarity with experiment design and applied machine learning for predicting outcomes in large-scale, complex datasets.
Experience in cloud services with prior exposure to Big Data technologies is desirable but not required.
Excellent communication and collaboration skills. An important facet of the job is coordinating with stakeholders and presenting analysis insights to them.
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.
Instructions how to apply Apply at this url: https://Jobhunt.ai/machinelearning-ml-ai-job-wl-Data-Scientist-Redmond-Microsoft.html Please mention that you found the job at Jobhunt.ai
[ job website ]
Other machine learning jobs that might be interesting
Senior Computer Vision Engineer - Agot(March 2022) Pittsburgh, Pennsylvania, United States (Remote work possible) Agot is a leading AI startup that is changing the way the world’s largest restaurant brands serve customers. Our technology is on the cutting-edge of computer vision, deep learning, and AI. We’ve ...
Software Engineer - Machine Learning Infrastructure - Twitch(March 2022) Seattle, Washington, United States
Creators are the backbone of Twitch, and their sustainability relies on their ability to earn a living doing what they love. As a member of the Commerce ML engineering team, your main focus is to buil...Machine Learning Engineer - Whisper(May 2022) San Francisco, California, United States
Established in 2017, Whisper is a team of artificial intelligence, hearing care, hardware, and software experts coming together to solve the challenge of providing better hearing. We set out to make t...2022 Applied Machine Learning (ML) Internship - Seeq(May 2022) Remote US, 100% Remote
Seeq’s Applied Machine Learning (ML) team develops cutting edge, industrially applicable machine learning solutions and workflows for Seeq’s customersThe Applied ML Intern will assist with various...