QualificationsSAFeAzureSQLPyTorchNoSQLBachelor’s degreeDoctoral degreeMaster’s degreeDoctor of Philosophy
Our 3rd Party Compliance Engineering team is powered by risk intelligence. We leverage compliance and risk management experts, troves of data, and talented engineers as our not-so-secret weapons in delivering resilient services that set the standard for the industry with their impact on our customers, partners, and business. We build, buy, and integrate the best available components and datasets in support of a flexible, scalable platform that amplifies both automated and human decision-making. Our team embraces collaboration and the understanding that experimentation (failing fast) drives innovation. In our daily work, we demonstrate growth mindset, integrity, respect, accountability, curiosity, and courage; we ask that you to bring these values as well. When you join this award-winning team, you will be greeted by a diverse and inclusive group of individuals with big hearts, small egos, and a drive to protect others through technology.
Now let us talk about you. We are hiring a Data & Applied Scientist to join our growing team of data scientists in extending the foundation of our current capabilities, while also making new breakthroughs that our operational colleagues deploy into enterprise business processes for immediate impact and scale. Today we prevent, detect, and respond to a wide range of 3rd party risks, and with your help, we’ll improve our ability to monitor, detect, and predict issues proactively, by finding patterns in data that humans have previously been unable to detect at scale. To get the most out of this role, you’ll want to embrace an agile, DevOps culture and enjoy the hum of the fast-paced growth engine alongside you, while cultivating space to reflect, focus and innovate. In doing this, you will power a suite of world-impacting services that most people wouldn’t think is possible.
Create immediate impact through sound and practical deliveries of risk monitors
Contribute to the technical roadmap extend risk monitoring across identified threat surfaces.
Develop/experiment/ship state-of-the-art prediction models
Use excellent data science practices to iteratively produce high performing models
Work with engineering colleagues to convey findings through data visualizations
Measure, tune and refine existing algorithms to incrementally improve performance
Analyze new and existing data; extracting. transforming and combining it in novel ways
Convey needs to engineering and operations teams to ensure healthy feedback loops
Build strong partnerships and collaborate with other teams across the enterprise
Be a strong representative of the Microsoft cultural attributes
Demonstrate a sense ownership and personal accountability for yours and your team’s work
3+ years applied data science experience, including advanced analytics experience focused on enterprise-specific problem solving
Experience in machine learning (supervised, semi-supervised or unsupervised learning)
Strong collaboration skills
Strong communication, delivery management, and leadership skills
A bachelor’s degree, MSc or PhD in Statistics, Data Science, Artificial Intelligence, or equivalent alternative education or experience
Applied experience with SQL, also Python or R, and modern data science tools/packages e.g. PyTorch, Transformers, TensorFlow, scikit-learn
Hands-on experience in one or more statistical software tools such as R, Julia or Matlab
Strong coding abilities in one or more scripting languages like Python or SQL
Understanding of compliance, security and risk domains along with associated patterns and data elements
Understanding of product and services activation, use, and transaction models and data
Understanding of statistical analysis and machine learning tools and practices
Understanding of Cloud centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc
Familiarity with Agile software delivery including application lifecycle mgmt (SAFe, Azure DevOps/VSTS, Git).
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.