Data Scientist / Machine Learning Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We are seeking an experienced Data Scientist in our research team to help us build and expand our cross-service, signal-based protections using state-of-the art techniques spanning the areas of supervised and unsupervised machine learning. Here's a bit about us. Our organization focuses on protecting customers against cyber-threats such as social engineering attacks such as phishing across our browsers and email – within this charter, machine learning (ML) is a fundamental part of how we protect customers. That's where you come in.

At Microsoft, you’ll have access to vast amounts of threat-related data from billions of endpoints and other sources. You will have the opportunity to collaborate with partners across Microsoft who have decades of security and ML expertise. We also offer many company-sponsored classes and conferences that focus on data science, ML, and engineering excellence. Microsoft provides phenomenal community, tools, and technologists to grow your expertise in this field. Best of all, on the phishing research team, you'll be able to apply that expertise to protecting people.

Responsibilities

• Develop high-performance machine learning systems for detecting malicious activity
• Evaluate the effectiveness of these systems and improve them over time
• Actively engage with other teams across the company to identify security scenarios where machine learning/applied statistics can be used and develop solutions to these problems
• Design and maintain product performance metrics

Qualifications

Required:

• 3+ years of professional experience in a technical role in the areas of supervised & unsupervised machine learning
• 3+ years of implementing and successfully deploying ML solutions at scale for real-world problems
• Proficiency in Python and SQL 
• Good coding skills with specific experience in data wrangling & exploration
• Bachelors/Masters degree with relevant coursework toward Data Science, Statistics, Machine Learning

Preferred:

• Experience with deploying ML models on cloud technologies such as Azure
• PhD in a quantitative field (engineering, computer science, statistics etc.) with relevant coursework in Data Science, Machine Learning, Statistics
• Ability to program in an object-oriented language (such as C# or C++)