Microsoft Principal Data Scientist- M365 Security Engineering 

India, Telangana, Hyderabad 

456529285

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ 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 7+ 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 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 8+ years of experience in Data Science, machine learning, natural language processing, and deep learning preferably with a focus on security or related fields.
• Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization.
• Experience in translating complex data into actionable insights and recommendations that drive business impact.
• Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products.
• Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• In-depth knowledge of cybersecurity principles, threats, and attack vectors.
• Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing.
• Strong analytical and problem-solving skills with the ability to think creatively.
• Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience in developing and deploying machine learning models for security applications.
• Experience in Big Data preferably in the cybersecurity or SaaS industry.
• Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc.
• Knowledge of anomaly detection, fraud detection, and other related areas.
• Familiarity with security fundamentals and attack vectors.
• Publications or contributions to the field of data science or cybersecurity.
• Excellent track record of cross team collaboration.
• Ambitious, self-motivated.
• Agile, can-do attitude and great at dealing with ambiguity.

Background Check Requirements:

• The ability to meet Microsoft, customer and/or Government security screening requirements is 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 higher/transfer and every 2 years they are after.

• Develop and implement machine learning models and algorithms to detect security threats and attacks within M365 services.
• Analyse large and complex datasets generated by M365 to identify patterns and anomalies indicative of security risks.
• Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models.
• Continuously monitor and improve the performance of security models to adapt to evolving threats.
• Lead the design and implementation of data-driven security solutions and tools.
• Mentor and guide junior data scientists in best practices and advanced techniques.
• Communicate findings and insights to stakeholders, including senior leadership and technical teams.
• Stay up to date with the latest advancements in data science, machine learning, and cybersecurity.