Microsoft Looking For Data & Applied Scientist at Charlotte, NC Full Time

Microsoft runs on trust. As our lives and businesses are becoming increasingly digitized, trust is the glue that holds us together. To create and enhance this trust, we are increasingly turning to advanced analytics to generate insights that help us anticipate risks. By applying these insights to Microsoft’s ecosystem of third parties (partners, suppliers, customers, schools, students, etc.) we proactively protect individuals and organizations across the planet. Corruption, theft, cybersecurity, and human rights are often intertwined and complex issues. We build solutions to these problems, and we make a positive difference in the world. Join our management team and help us grow to become what’s next.

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.

Responsibilities

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

Qualifications

Required qualifications:
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

Preferred qualifications:
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.